Four weeks as an Ultrahuman ‘Cyborg’ – TechMac

Four weeks as an Ultrahuman ‘Cyborg’ – TechCrunch

For 4 weeks throughout 2021, this TechMac reporter took the plunge and examined a “metabolic health” service from Bangalore-based startup Ultrahuman. The tracker program, branded Cyborg, makes use of arm-mounted medical grade {hardware} to get a real-time read-out of your blood glucose — utilizing that dynamic data-point to energy a quantified well being service that scores what you eat and the way you progress, nudging you to make more healthy way of life decisions all through the day.

Analysis has linked persistent metabolic irritation, from elements similar to poor weight-reduction plan and bodily inactivity, to the danger of creating quite a few ailments — from diabetes to heart problems, persistent kidney illness and even most cancers. So the idea behind the product is that plenty of incremental way of life decisions can stack as much as a more healthy long run outlook — when you’re in a position to ‘optimize’ these selections to keep away from triggers for irritation and oxidative stress.

Right here follows my lengthy learn on the curious expertise of residing with a skin-perforating wearable and a dynamically updating digital window onto your organic course of, in addition to wider dialogue of the worth of steady glucose monitoring (CGM) for a basic well being/health goal, and — lastly — some notes on the aggressive panorama bobbing up round productizing this sort of sensing {hardware}.

As that is loosely a evaluate of Ultrahuman’s (nonetheless personal beta) product/service, I’ve additionally included a ‘Verdict & Worth’ part too. Skip forward if you wish to dive into the operational particulars. However first some context…


Preamble & Caveats

Changing into a cyborg is now not as sci-fi as that sounds. For years the ‘quantified self’ development has spawned all types of sensors and companies for measuring bodily exercise and nudging you to trace and ‘optimize’ your outputs — from step counters and coronary heart price screens, to emphasize and sleep sensors, lung capability scorers, and, extra lately, freakier stuff: Blood glucose screens and saliva or pee/poop analyzers — the latter for delving into hormonal and/or microbiome/metabolic well being when you’re so inclined.

Serving the apprehensive effectively with wrist-mounted, strapped on or in any other case self-administered sensing expertise plus a subscription service to play pocket oracle — through an app-delivered interpretation of what all this private knowledge means (and ofc how one can enhance your metrics) — is booming enterprise. Shut your (train) rings. Breathe extra deeply. Attempt to get to mattress earlier, and so forth.

A few of this quantified well being tech can come throughout as a bit superficial or frivolous; an try to ‘gizmoify’ each day life and push a gadget when you would simply go for a stroll or get to mattress earlier. The extra primary merchandise work by promoting the motivation-challenged a name to get off the couch or a substitute for misplaced childhood construction. Or, effectively, data-fication as proof of existence.

However it may be horses for programs, too; when you have a sleep problem or undergo from stress and nervousness then monitoring your sleep — and getting little nudges and recommendations on how get extra shut-eye — is likely to be simply what you should lock in high quality Zzzs.

Obtainable tech has been getting extra refined, too. Though, when business trackers put a suggestive give attention to organ-function (coronary heart; lung and so on), the quantification could sound spectacular however can undergo from questionable accuracy — given quite a lot of these things is consumer-grade, reasonably than (regulated) medical units.

Even step tracker knowledge will be lots inexact.

However in a newer growth, a rising variety of startups are making use of medical grade sensing {hardware} to supply self-administered metabolic evaluation through monitoring (close to) real-time modifications in blood glucose by means of the usage of a sensor that you just ‘put on’ on (and, effectively, in) the pores and skin.

This can be a fascinating and rising however nonetheless novel space of focus for quantified well being startups. One that appears promising, by way of having the ability to serve individually helpful well being insights and which — given sufficient knowledge — might be able to scale in utility and assist empower many others to make more healthy particular person way of life decisions.

However the actually large caveat is that scientific understanding of metabolic health isn’t but as full and holistic as we would hope.

Ultrahuman Cyborg: What’s within the field shipped to me in Europe? Abbott’s CMG sensor, alcohol wipes, tape patches to put on over the sensor (Picture credit: Natasha Lomas/TechMac)

A lot just isn’t understood — similar to why there will be a lot variation between people’ metabolic responses (completely different individuals consuming the very same weight-reduction plan can have very completely different responses, for instance); or the precise function of irritation within the threat of creating ailments like diabetes or most cancers.

So the power of startups to play oracle right here is bounded by the necessity for extra analysis. (Albeit, grabbing knowledge to advance analysis and understanding is a key a part of the chance entrepreneurs are spying.)

Neither is the sensing {hardware} in query regulated for the ‘basic wellness’ use-case most of those startups are pursuing.

Which suggests these companies stay novel — aka, experimental — even when the {hardware} they’re repurposing is legit, within the sense of being manufactured by established medical units companies, and controlled for narrower use (i.e. diabetes administration).

Usually these sensors have regulatory clearance for individuals with diabetes to trace their blood glucose — as a substitute of getting to do fixed finger prick exams. That will lend credibility to startups hooking into the identical system makers’ APIs to seize the identical knowledge stream. However the interpretative spin such companies placed on the info is simply that: A spin.

Any wider evaluation — together with way of life suggestions — are positively not FDA accredited.

The debates which have continued to rage forwards and backwards for years round diet — all of the fad diets, bestselling books and rehashed discussions of what’s good or dangerous for us to eat, and even what’s efficient train — is a long-running symptom of a nonetheless flawed understanding of the interaction between our biology and what we routinely expose it to.

It’s clear that measuring complicated methods with out a full understanding of how all of the constituent components can work together and interaction means you’re not going to get the total image. At greatest it’s a snapshot — perhaps one which helps improved understanding. Nevertheless it’s by no means going to have all of the solutions. So, one other phrase of warning, the danger of misinterpretation is actual.

There may be additionally the query of how precisely do you go about measuring ‘metabolic health’? As a label it’s a little bit of a fuzzy umbrella — arching over complicated organic interactions linked to chemical reactions which generate power in our our bodies which will (or could not) imply we’re simply in a position to preserve a wholesome weight; or which may in any other case assist or work in opposition to us reaching a excessive stage of bodily health.

What you eat; how; when; and the way energetic and effectively rested (vs confused) you have been on the time are only a few of the dynamically various elements that may have an effect on metabolic operate. (One illustrative instance: What you ate the day earlier than could have an effect on how your physique metabolizes a specific foodstuff in the present day.) Whereas the biomarker (or biomarkers) a product chooses to zero in on and observe may even, clearly, affect what that “metabolic health” service can see — and is ready to deduce.

Startups focusing on metabolic well being are exploring a variety of choices — from monitoring blood glucose, to analyzing the intestine microbiome or different bodily excretions (like urine), or a mixture of outputs/indicators (perhaps additionally factoring in coronary heart price). Over time extra bodily indicators are prone to be added to the combination to attempt to flesh out a fuller understanding — however quite a lot of the present gen metabolic monitoring is greatest regarded as a bit of the puzzle; a sketch or a tough guess, with extra blanks than shading strains.

The right way to perceive — or, effectively, greatest interpret — knowledge from a mixture of metabolic indicators presents no scarcity of questions and challenges for these attempting to productize the chopping fringe of determining all this bodily chemistry. As Ultrahuman’s founder acknowledges — telling TechMac: “Fixing for accuracy of insights that we generate from glucose biomarkers is on the very core of our mission.”

The corporate’s web site additionally comprises a textual content disclaimer that the Cyborg service supplies “basic info for athletes to know their glucose ranges and athletic efficiency”; and doesn’t substitute for an expert medical opinion or encompass healthcare/therapy for particular circumstances or medical considerations.

Whereas an entrepreneurial mission to demystify the metabolism — and commercialize the idea of metabolic health — stays very a lot ongoing, a few issues are clear: 1) Demand to higher perceive organic operate exists (loads of individuals, not simply elite athletes, are excited by what’s occurring with their our bodies usually and their metabolism particularly) — and: 2) large however as but unverifiable claims are being made for what this sort of ‘well being’ monitoring tech might present a person person as a long run profit.

So — one other caveat! — anybody eager to get entangled with metabolic biohacking must be clear concerning the limitations.

Getting a bit of knowledge just isn’t the identical as getting a analysis — or perhaps a correct understanding. Extra knowledge on this context can imply extra noise and confusion, not essentially a transparent sign. It could additionally make you apprehensive about belongings you shouldn’t.

One other statement: The buyer increase in digital well being/wellness monitoring over the previous decade has been understandably slower on the replace on the subject of invasive/semi-invasive wearables. Aka, sensing units that work by being put in (at the least a bit of bit) contained in the physique.

Even partially — dipping underneath the pores and skin so it will possibly stick a sensing filament into the interstitial fluid within the case of Ultrahuman’s Cyborg — the ‘wearable’ metabolic monitoring service that’s the primary focus of this evaluate. This semi-invasive-sensor-plus-app combo screens (close to) real-time glucose ranges as a proxy for understanding and scoring metabolic well being — offering the patch-wearer with blood sugar-triggered nudges and alerts to encourage helpful way of life tweaks.

The purpose is to assist the sensor-wearer to stabilize their glucose ranges as they go about their day — avoiding excessive highs or lows — with the overarching mission of decreasing irritation and oxidative stress, which is linked to unfavorable well being outcomes.

The suggestion is that, by taking note of “metabolic health” — Ultrahuman’s phrase of alternative to explain its mission — and taking little actions associated to what you eat and when, and the way and if you train and sleep — you may keep away from and even reverse persistent irritation that may, over time, result in creating a metabolic dysfunction like diabetes, or non-alcoholic fatty liver illness or heart problems.

Whereas the notion of weight-reduction plan isn’t at all times overtly promoted by startups productizing CGM expertise, blood sugar spikes are additionally in fact related to the consumption of sugary meals (and with the next quantity of consumption) — each of which may result in weight acquire. So supporting metabolic health implies assist to acquire and keep a wholesome weight too.

With such headline-grabbing potential features — from decreasing the danger of persistent ailments to assist for weight administration and a wise digital sidekick to spice up athletic efficiency — it’s straightforward to see why there’s been a serious startup scramble to demystify (and monetize) the metabolism.

And on the subject of startup alternative, a actually ‘wired in’ shopper well being tracker is unquestionably lots much less mainstream than wrist-mounted monitoring gear just like the Apple Watch — which immediately shrinks competitors from shopper tech giants, offering daring entrepreneurs with an opportunity to shine.

Protected to say, if Apple’s wearable got here with a retractable metallic fang embedded within the backplate, the tech large wouldn’t have shipped anyplace close to as many watches, irrespective of how fancy-looking its glucose-sensing filament. (Apple will certainly wish to incorporate a needle-free model of glucose monitoring into its Watch, as rumors have steered, and if the tech works out.)

Piercing the pores and skin simply sounds messy (even when it isn’t actually). And ofc plenty of individuals hate the thought of needles. Which means there’s merely more room and alternative — right here at biohacking’s innovative (ha!) — for quantified well being startups to blaze a path that appears to go deeper than mainstream shopper tech firms. Quantified self tech that’s not afraid to cross the needle-phobia line definitely feels extra critical as a result of it’s actually nearer to the organic course of that’s being tracked.

That mentioned, whether or not inserting a tracker into the pores and skin makes a significant distinction vs a much less intimate sensor placement — by way of the standard of the info being captured; the evaluation of that knowledge; and any ensuing suggestions offered to the person — is a tricky-to-answer query. (Certainly, it’s a complete collection of questions, relying on context and the execution of the service/s.)

Within the case of Ultrahuman’s Cyborg, the startup is cautious to not overpromise; its advertising and marketing places the duty on customers to “work on enhancing your well being with real-time visibility of how meals and train impression your physique, and a rating that motivates you to enhance daily”, because the minimalist directions which arrived within the field with the beta product put it.

The metabolic “rating” Cyborg provides is personalised, sure, Nevertheless it’s an abstraction and interpretation of organic processes that also maintain loads of questions for science. So, once more, that is actually extra about being a part of a seek for solutions vs getting a single ‘organic fact’ handed to you on a plate. (Briefly, there isn’t any plate; there’s simply quite a lot of suggestive knowledge to feast your curiosity on.)

Whereas a bit of data is usually a harmful factor — perhaps much more so when the info in query is connected to your individual biology — a glimpse of 1’s interior workings is undoubtedly catnip for the curious. And in our digital age, with a lot well being analysis info out there on-line on the stroke of a key, who isn’t a bit of curious on issues of non-public biology?

The hazard, maybe, is {that a} extra invasive/intimate sensor placement could lead individuals to robotically assume this sort of tracker is giving greater high quality intel (and extra personally related insights) than the calibre of the info processing — and our wider scientific understanding of metabolic processes — is ready to ship.

Ultrahuman isn’t afraid to push that sci-fi notion as a promoting level, although. Therefore its overt alternative of ‘Cyborg’ branding — which intentionally emphasizes the intradermal sensor placement — the direct interface between the tech and your physique — implying that’s the particular sauce powering a quantified well being service which guarantees to “nudge you in the direction of higher well being, one small step at a time”, and with out the necessity for “drastic weight-reduction plan modifications” or the tedium/frustration of “generic train plans”.

Given what number of different startups are additionally leveraging the identical (or comparable) CGM {hardware}, the automagic of acquiring the info is already susceptible to being commoditized; it’s how this info will get visualized, analyzed and contextualized for every person that basically counts.

Once more, although, given all of the aforementioned uncertainty across the science, that appears inherently arduous to quantify.

In fact cynics would possibly say that makes for an ideal startup alternative…

Ultrahuman Cyborg: The way it works

Monitoring dynamic modifications in blood glucose is Ultrahuman’s proxy of alternative for assessing metabolic well being.

Why glucose? Ultrahuman’s CEO and co-founder, Mohit Kumar, says it was the perfect match for what they wished the product to realize — being “a real-time biomarker that’s delicate to meals, stress, sleep and exercise”.

“We have been in search of biomarkers and strategies to personalize the health journey for individuals once we began as effectively but it surely took us a 12 months lengthy of experimentation to determine which biomarker actually works for the type of impression we have been . We checked out varied biomarkers like HRV [heart rate variability], sleep and respiratory price however glucose appeared actually fascinating out of your complete lot due to the suggestions it supplies on our meals side of the approach to life,” he tells TechMac.

“Which means that we’d have the ability to get prompt suggestions for these way of life elements and what we’ve seen is that prompt suggestions results in higher actionability. For e.g. a nudge that pushes you to stroll after a meal that provides you a spike will result in higher actionability vs a report that will get despatched after a day.

“Secondly, there are such a lot of health wearables and markers that enable you enhance your exercise efficiency however there’s nothing that helps you optimize what you eat. Diet is usually a blackbox and is far more complicated (given tons of of weight-reduction plan sorts and private choice) however it’s in all probability crucial way of life issue given how damaged our meals ecosystem is.

“Because of this we felt stepping into with glucose makes a ton of sense from a ROI perspective despite the fact that it’s a semi-invasive biomarker. The personal beta helps us perceive what nudges and data helps individuals make way of life modifications simply. We’ve seen huge engagement on the platform with app opens / person being round 21 per day and most of the people seeing real-improvements of their well being across the forty fifth day of utilization.”

Monitoring blood sugar swings nearly as they’re occurring — because of CGM expertise — is straight away a serious step up on the patience-challenging enterprise of (conventional) weight-reduction plan trial and error over a multi-week/month interval: Aka, change what you eat/the way you train and wait and see if it really strikes the scales, weeks and even months later.

Steady blood glucose monitoring (vs repeated finger pricks) has been enabled by the event of CGM {hardware} in recent times — initially for individuals with a proper analysis of diabetes. However now a rising variety of startups are productizing this expertise for a extra basic health-concerned or fitness-focused shopper.

The tech itself has led to some fascinating science. See for instance this 2018 analysis paper which confirmed that glucose dysregulation (i.e. highs or lows exterior what’s thought-about the traditional vary) have been really fairly frequent in ‘wholesome’ individuals; i.e. these with out a analysis of diabetes or pre-diabetes — which wasn’t what the researchers had been anticipating to seek out.

At a primary stage, Ultrahuman’s service consists of arm-mounted sensing {hardware} (a disc-shaped sensor) — which have to be changed each two weeks — plus an app to visualise your blood glucose knowledge and ship alerts and nudges. You pair every new sensor with the app to proceed the monitoring.

Not your common health wearable (Picture credit: Natasha Lomas/TechMac)

The sensor {hardware} is made by one other firm: US medical units agency, Abbott. The precise sensor that shipped with the Ultrahuman product on the time of writing was Abbott’s FreeStyle Libre 2 flash glucose monitoring system.

Self administering the CGM sensor is a bit of nerve wracking however primarily since you solely get one shot at (appropriate) placement. And with solely two sensors within the beta field delivered to TechMac I didn’t wish to waste any {hardware}.

On the time of software, Ultrahuman had produced a few (amusingly robot-voiced) movies to instruct on sensor placement and arrange. These have been useful — and solely barely disturbing (owing to the reference to not press too arduous to keep away from “few drops of blood splatter”).

Abbott’s {hardware} comes with its personal set of directions and a spring-loaded applicator which you prime manually earlier than positioning the plastic cup in your raised higher arm and, trepidatiously, urgent down to fireplace the filament into your flesh. The motion is speedy sufficient to make you flinch. It could not assist to recall one other phrase in Ultrahuman’s instruction video (“hole needle”). However the needle is simply the supply mechanism for the filament; you’re not going to be left with that little bit of seen metallic in your arm.

Was there any blood splatter? Not that I observed. Nevertheless the second sensor I put in/placed on appeared to have fired right into a nerve or one thing because it was fairly painful for a number of days. After which it form of settled down/bedded in. Or, effectively, I acquired used to it.

The primary sensor was not painful, per se, to put on but it surely positively takes a little bit of getting used to to sleep with a bit of plastic connected to your arm. I discovered sure yoga poses required additional contortions to keep away from uncomfortably urgent down on the sensor, for instance. And I swear I might hear a really excessive pitched whine in my head at evening whereas carrying the CGM — however perhaps I used to be simply dreaming of electrical sheep.

Sure you may bathe/bathe with the sensor in place. Ultrahuman’s field contained a number of disc-shaped cloth tape patches to assist shield the {hardware} (and add its branding to your arm). These can begin peeling off after a number of days relying in your way of life however the sensor itself remained firmly lodged for each my two-week stints. (You possibly can take away a dogeared patch and exchange it with a recent one (when you have sufficient spare). Though that was additionally nerve wracking as you don’t need early patch removing to prematurely rip out the sensor. So mainly it’s about as a lot enjoyable as making use of a complete Macbook decal.)

In case you’re curious concerning the sensing filament itself it appears like a bit of not that high-quality wire. You get to see it for the primary time on extraction out of your arm. At which level I noticed it seemed as if it was coated in some type of black paint. Which was — I used to be not too happy to watch — flaking barely… However by that point you’ve been residing with it in your pores and skin for 2 weeks so Cyborg acceptance has already taken place. Good.

The sensor after extraction from my arm (Picture credit score: Natasha Lomas/TechMac)

Was there a mark left? Yeah, a small purple bump the place the filament had perforated the pores and skin. It pale after some time. The tape itself — together with the sensor’s in-built fixing (which stayed much more firmly connected) — by no means bothered me.

The sensor pairs with Ultrahuman’s app through Bluetooth. This implies it will possibly lose connection in case your telephone is out of some meters’ proximity along with your arm/particular person — at which level the info circulate (and real-time alerts) will cease. So now you may have the right excuse on your telephone by no means to depart your aspect!

If that does occur, the app will notify you and request you to faucet the telephone again on the sensor when you may to add any lacking readings. (NB: On arrange, the sensor additionally wants a bit of time to “heat up” — earlier than knowledge begins flowing. So you might end up pacing the room as you look forward to it to be able to log your first exercise/meal and so on.)

The app itself was a piece in progress throughout TechMac’s interval of testing which was break up over greater than a month (as I took a break between making use of sensor 1 and sensor 2) — and the software program went by means of quite a few modifications, together with one main visible tweak.

This modified the glucose plot line’s gradient from a too simplistic view (the place low-to-high glucose was at all times displayed as green-to-red) to having a central “goal zone” the place the plot shows in frosty ‘good to go’ inexperienced however as/if charges drop too low or too excessive they are going to bleed in a gradient from yellow to orange to purple — which means you may have purple highs and lows when you’re out of the optimum glucose vary (which is between 70mg/dL and 110mg/dL).

This replace was an unlimited enchancment as the sooner model had been visually suggesting {that a} decrease glucose was at all times higher — even when the extent was already under goal (aka, hypoglycemia) — which it only a small illustration of a few of the design/UX pitfalls for this sort of quantified well being product.

In addition to plotting the ups and downs of your blood glucose all through the day (or at the least the approximation which Abbott’s {hardware} pulls out of your interstitial fluid; as any diabetic might let you know, these ranges don’t at all times precisely match blood glucose readings; and in case your glucose is rising or falling there is usually a quick time lag earlier than that reveals up in a flash glucose monitor), the app shows what Ultrahuman refers to as a “metabolic rating” — which is a quantity from ‘0’ to ‘100’.

That is the primary ‘metric’ mechanic the app makes use of to attempt to nudge and gamify wholesome way of life tweaks.

Ultrahuman describes this rating as an indicator of your “total metabolic well being” and says it’s calculated based mostly on glucose variability, common glucose and time in goal metrics. The quantity resets to 100 daily at midnight and reduces or will increase “based mostly in your each day way of life actions and physique’s response”.

The gamification mission sounds quite simple: “Your purpose is to maximise this rating every day,” because the app places it.

In follow, getting a ‘good’ (i.e. excessive) rating will rely in your particular person biology and way of life. And, depressingly, you may get up with a rating that’s already down within the 80s (or, I suppose, worse) — relying on what you probably did/ate earlier.

NB: Stress can even impression blood sugar so occasions exterior your management can impinge in your metrics.

Logging of meals — and/or exercise or the opposite sorts of occasions which have been step by step added to the app throughout the testing interval — is completed manually.

Initially this was by customized typing your meal descriptions (or exercise). A later replace added a meals and exercise index that allows you to search and choose from a structured record and their portions or instances reasonably than manually typing the whole lot.

Ultimately, I a lot most well-liked customized typing to log meals because the record was far too particular and tedious to really feel helpful. (Sort: “Cheese” and it’ll counsel quite a lot of several types of cheeses — however not essentially the precise one you’re consuming, nor the quantity you even have in your plate, which you’ll not know in any case; and that’s only one meal ingredient to log; repeating that for a full plate shortly will get outdated quick… Plus the record additionally appeared fairly US-centric, which wasn’t very helpful for logging a European weight-reduction plan.)

Whereas sort in your individual favourite cheese — or certainly a customized description of your complete meal — and you’ll shortly log it subsequent time you eat it because the app will bear in mind your customized label.

Probably Ultrahuman is eager to get the very best quality structured knowledge that it will possibly — to construct the broader utility hunted for from predictive AI fashions. However, if logging feels an excessive amount of like work, few customers will carry out the duty completely without spending a dime. So it could have its work reduce out to get correct and structured (vs customized however cryptic) food-to-glucose-response knowledge from its beta user-base.

(Certainly, it could must depend on asking customers to snap a picture of their meal and making use of laptop imaginative and prescient expertise to make knowledgeable deductions, say, though which will additionally introduce loads of errors. Long term — if the tech goes actually mainstream — you would think about eating places printing a QR code per meal on their menus which will be scanned so all the right nutrient knowledge is immediately logged to cut back enter friction.)

Exercise logging was much more simple than meals. Not least as a result of, until you’re an Olympic athlete, you’re going to want to log lots much less of it than meals.

After group suggestions from beta customers, Ultrahuman additionally added “stress” occasions as a logging possibility, in addition to fasting — which may in fact play havoc with blood glucose however — per some analysis — could have its personal set of well being advantages. So giving customers extra granular choices to assist higher construction the CGM knowledge is smart.

Sooner or later, automated logging through integration with different sorts of shopper wearables appears doubtless. For instance, it’s straightforward to think about that your health band or sensible watch detects a particular exercise and passes that knowledge to the Ultrahuman app — which might simply immediate the person to verify the small print of the detected exercise.

For now, although, beta customers stay in command of inputting and structuring the info so knowledge high quality is prone to be an actual smorgasbord.


What I learnt

Ultrahuman’s suggestions warning that in early use of the product you in all probability gained’t be rewarded with secure, excessive scores.

It is because studying what you should do to stabilize your blood glucose usually takes a little bit of time — since you need to attempt completely different stuff (meals pairings, train timings and so on) to see what works for you. Though that is nonetheless a a lot accelerated course of vs the tedious enterprise of old style weight-reduction plan and health regime evaluation. (Ofc when you’re blessed with a naturally extra secure (i.e. low variation) glucotype you might discover you should do lots much less guide ‘steering’, because it have been.)

I’ll nonetheless unprepared for the early horror, although. And spent just about the entire first week — jaw on the ground — watching the app lowball rating the stuff I often eat.

Humus salad pita bread sandwich lunch adopted by a number of walnuts, half an apple and occasional (white, no sugar)? Doesn’t that sound moderately wholesome? Um, apparently not, in my case. It stays one of many all time “backside zone” lunches throughout my 4 weeks as a Cyborg (scoring an enormous fats ‘0’). 😬

The all time worst lunch meals throughout the check interval (purely by way of how excessive my glucose peaked after consuming) was at the least not a dish I had ready myself however a quick meals meal — albeit, from a model that markets its fare as a “pure” and extra wholesome alternative than conventional McBurgers n chips.

The meal in query — Leon’s lentil masala with brown rice adopted by a “common” coconut milk latte (model of plant milk: Impolite Well being); one other ‘0’ scorer — produced such an epically giant spike that I made a decision I wanted to do an emergency HIIT session simply to convey my elevated ranges again down once more.

The train did do the trick. Nevertheless, if I’d identified earlier than lunch that I would wish to do do a bunch of burpees and squats proper after lunch to metabolise the meals spike I’d effectively have revised my meals decisions.

How steady glucose monitoring, and mass entry to real-time metabolic knowledge, will have an effect on the quick meals trade is definitely an fascinating query to ponder…

A whopping quick meals spike — vanquished by doing a little intense train (Picture credit: Natasha Lomas/TechMac)

I hadn’t checked the components small print previous to consuming the Leon meal — however eyeing the label suspiciously afterwards, within the purple glow of the app’s condemnation, I used to be unimpressed to seek out “caster sugar” in an extended record of additives.

Though, realizing what I do know now, it was in all probability the coconut milk (an ingredient in each the stew and the espresso) that was particularly triggering for me.

Sadly, the post-meal espresso in all probability didn’t assist both.

My least favourite Cyborg studying was that espresso appears to lift my blood sugar. Inexperienced tea? Completely high-quality. Black espresso, decaf, white? All trigger me some uplift. And since I wish to drink espresso within the afternoon, after consuming lunch, meaning a increase atop a (meals) increase — which is likely to be simply sufficient to tip me into the purple.

I nonetheless refuse to be a morning espresso particular person, although.

Rice may also be a spiker for many individuals — definitely white rice which is extra shortly metabolized by the physique vs the extra fiber-rich wholegrain. Though I’m now extra cautious of the crash that may come after consuming a primarily white rice-based night meal because it appears to work in opposition to maintaining blood sugar secure and sustained within the goal zone in a single day.

Blood sugar lows are simply as necessary to keep away from as highs, because it seems. No less than, that’s my sense after 4 weeks hooked to a CGM. Though my early utilization of the app was fully preoccupied with attempting to keep away from the massive purple spikes, they did get simpler to handle over time — with some inventive biohacks and some strategic dietary edits.

For instance, I’ve all however eliminated plant-based milks from my weight-reduction plan (save for a touch of oat milk in espresso; no I’ve not — is not going to! — hand over espresso fully. However I do are likely to nurse a cup for longer now). The spikes these alt milks served up have been simply too constantly purple flag-ish to disregard and I got here to consider them as akin to fruit juice and greatest prevented. Which — once more — is fairly fascinating contemplating how usually the advertising and marketing of those extremely processed drinks makes loud noises about how they provide a ‘wholesome alternative’.

Curiously, different Cyborg customers appear to have reported an analogous subject — per one of many firm’s electronic mail publication round-ups of shared learnings, the place it wrote that: “Almond milk and breakfast cereal might really trigger an even bigger spike than a lodge breakfast buffet!”

Perhaps it is a comparable mechanism as may cause a glass of orange juice to spike whereas consuming a complete orange (usually) gained’t. Or perhaps it’s all the way down to one thing extra particular in how these drinks are manufactured — the kind of processing they endure and particular additions. Many have added sugar as an example (though those I used to be pouring on my cereal positively didn’t — but they nonetheless spiked me). Sadly I didn’t have an opportunity to make a home made model of oat milk to do a direct comparability with business manufacturers to see if it was any much less spikey.

For breakfast I do nonetheless often eat a bowl of oats — which definitely additionally has spike potential (being carbs, albeit fiber-rich carbs) — however I be certain that they’re jumbo oats (not oatmeal). Most significantly, I liberally mud the bowl with cinnamon (which I found helps scale back glucose spikes). And I eat them with water (not any type of milk), plus a blob of pure yogurt (for taste and a few important nutritional vitamins), plus the same old mixture of berries and seeds.

This isn’t an enormous change on my pre-CGM breakfast of alternative (oats, berries, seeds and so on however washed down with, er, oat milk). However the distinction in metabolic rating phrases? Enormous! It switches from a meal that usually scores a ‘2’ to a ‘9’. Loopy however true (or, effectively, true per Ultrahuman’s studying of my fluctuating interstitial fluids). 

I additionally discovered inventive methods to adapt how I eat bread to restrict how a lot of a spike it generates.

Consuming much less and even no bread is one approach to shrink glycemic load and handle down any related blood sugar rise. Nevertheless like oats, wholegrain bread is a posh carb that has dietary advantages so I didn’t wish to take away it (or, certainly, stop carbs fully) from my weight-reduction plan. So, with the good thing about the app’s real-time glucose view, I experimented with consuming a slice of wholemeal bread in the direction of the top of lunch, after different fiber, protein and fats wealthy foodstuffs — which take the physique longer to interrupt down — and that appeared useful.

I then discovered one other particular biohack — involving apple cider vinegar — that labored a deal with.

As with cinnamon, I discovered this sort of fermented vinegar has properties that assist to cut back glucose spikes. So I experimented with pouring the vinegar (stick with me) on a slice of sourdough bread earlier than consuming it — sure this sounds odd however really tastes superb! Utilizing this methodology, plus consuming the bread afterward within the meal (after the salad, nuts and so on), I might flip a lunch that spiked into one which remained within the wholesome zone. There’s merely no means I’d have discovered one thing as particular as that with out having the ability to see real-time shifts in my blood sugar.

The issue is the lunches that spiked didn’t make me really feel any completely different/much less wholesome vs the lunches that didn’t. Not with out seeing the metabolic response within the app. So it simply wouldn’t have been doable to tell apart between them with out the sensor knowledge.

Plus, in fact, one other particular person, with completely different metabolic responses, might be able to eat 5 slices of bread with none spikes in any respect. So there actually isn’t any intelligent approach to generalize — past setting primary strictures similar to management your carb consumption and thoroughly construct the stability of foodstuffs in your plate. And generic, broad-brush methods that may be very demotivating within the absence of fast suggestions — which is strictly what makes the CGM so doubtlessly, individually transformative as a way of life instrument. Out of the blue you may attempt stuff and see if it really works for you or not.

That mentioned, whether or not managing comparatively small blood sugar spikes is as necessary for an individual’s long run well being as metabolic tracker startups wish to counsel is a wider query.

The TechMac reporter as a ‘Cyborg’ (Picture credit: Natasha Lomas/TechMac)

Dr Matthew Campbell, a scientist who does analysis into organic methods that impression the human metabolism on the College of Sunderland within the UK, was sceptical about the advantages of in any other case ‘wholesome’ individuals placing a lot effort into managing their blood glucose once we requested for his views on this basic use of CGM expertise.

“Glucose often fluctuates all through the day anyway — it’s not a type of static variable, it is vitally dynamic. Nevertheless it ought to, on common, keep inside a traditional vary. There are reduce off factors for individuals who could be characterised as excessive threat. For instance, in case your glucose doesn’t come down under a sure stage after a meal or within the morning time if it’s chronically elevated. And that’s the place the type of reduce factors are for diagnosing diabetes and even pre-diabetes, the people who find themselves susceptible to creating diabetes,” he tells TechMac.

“The problem that we have now [with ‘healthy’ people tracking their glucose] is simply these arbitrary values — if it’s happening that’s okay, if it’s going up that’s not so good — [but] when you sit throughout the regular vary I don’t know what the scientific utility and the usefulness or the well being benefit is of, for instance, decreasing your glucose by 1mmol if it’s already within the wholesome vary.

“So I suppose when you already sit — 95% of the time — inside a wholesome vary attempting to flatten that line or aggressively handle it even decrease, I don’t assume that confers any extra well being profit since you are already in a wholesome vary.”

Campbell additionally pointed to the problem of accurately linking the blood glucose knowledge that comes from the CGM to the whole lot occurring within the person’s physique which is likely to be influencing glucose ranges, noting too that in addition to a time lag the precise place of the sensor on the person’s arm can have an effect on the readings, for instance.

“So sure conditions, is it your weight, your intercourse, your ethnicity, particular person genetic make-up — all of these various factors affect glucose ranges — sleep impacts it, diet impacts it,” he says. “And I believe if this tech simply [tracks] the glucose hint and it doesn’t tie in these different elements then it’s fairly tough to make an knowledgeable determination on what’s influencing your glucose ranges.”

He was extra optimistic concerning the potential of CGM for athletes, although.

“I believe what it may be helpful for — you talked about elite athletes — when you’re exercising at significantly excessive ranges or for an extended length of time — even when you don’t have diabetes, will be susceptible to having low blood sugar ranges and quite a lot of this tech tends to return with alerts,” he provides.

Campbell additionally raised an fascinating comparability — suggesting out of vary glucose could not at all times be an issue if the person’s metabolism is ready to aggressively handle it again down once more.

“The way in which to consider it’s a little bit like coronary heart price throughout train,” he says. “In case you’re exercising any person may need a a lot greater coronary heart price on the identical train depth as any person else and also you would possibly assume they’re exercising lots tougher subsequently they is likely to be much less match.

“However really if the variability throughout the coronary heart price is lots larger then that’s extra indicative of extra cardiovascular flexibility. Which is just about related to excellent train tolerance and excellent ranges of health — and I don’t actually see the way it’s any completely different with glucose response.

“So it’s not essentially the truth that the glucose stage goes exterior of vary as a result of that occurs for a big proportion of individuals and they are often metabolically wholesome — I believe what’s necessary is wanting on the total image.”

On condition that, Campbell steered the true utility of those companies will probably be in augmenting the CGM knowledge with algorithms and machine studying — that may “search for patterns within the knowledge” and “piece issues collectively reasonably than simply cherry selecting ‘effectively your glucose stage went excessive after you probably did this’; effectively it doesn’t actually matter if it got here down pretty aggressively, perhaps that’s really a superb factor.”

Returning to blood sugar lows, I had an fascinating private expertise in that I used to be ready to determine — by means of utilization of the app (together with by chatting to Ultrahuman’s in-app coaches to get their guide evaluation of my CGM knowledge) — {that a} collection of glucose lows I had skilled in a single day correlated with waking up in the course of the evening in a chilly sweat and even with cramps.

I additionally observed that such in a single day lows usually adopted a meal that had concerned ingesting alcohol (which, seems, performs its personal devilish recreation of interference with regular metabolic processes). So maintaining a cautious eye on the ratio of meals to alcohol — and maybe consuming a protein-rich snack earlier than mattress after a night meal after I had drunk wine with a much less nutrient dense dinner (white rice, say) — was one other little hack I used to be in a position to work in to shrink the danger of going hypo/crampy within the evening with out having to forgo wine with a meal.

In that case the private profit seems to be tangible: Not having my sleep unpleasantly disturbed.

I used to be additionally in a position to extrapolate this discovering to counsel an analogous evening time snack hack for an aged relative — who had been struggling persistent evening cramps for months. After she’d tailored her regime to incorporate a strategic bedtime snack she quickly reported being nearly fully cramp free in a single day.

These are in fact simply a few anecdotal examples — however they’re illustrative of the potential for people to experiment, make connections and be part of the dots between the distinctive quirks of their way of life and the CGM knowledge.

Dr Michael Snyder, a Stanford professor and co-author of the aforementioned pioneering analysis paper — who can be a co-founder of a (rival) US startup, known as January AI, which sells its personal metabolic well being monitoring service that’s productizing CGM — is, as you’d count on, evangelic about the advantages of the expertise to ship worthwhile revelations to particular person customers.

He really has Sort 2 diabetes — and has worn a CGM to assist handle the situation for round a decade at this level — so is effectively positioned to touch upon the tech’s utility.

Albeit his private use, for a particular medical situation, may be very completely different to the overall health/well being use Ultrahuman, January AI and different startups on this area are focusing on. However he means that broader use of CGM expertise might assist handle and even reverse the danger of individuals changing into pre-diabetic or diabetic.

“Immediately you be taught what meals spike you and what doesn’t — and that simply differs from one particular person to the following,” he tells TechMac. “You possibly can really see individuals who have glucose dysregulation who won’t in any other case comprehend it and it is a large deal as a result of 90% of pre-diabetics don’t comprehend it and 70% of these will go on to change into diabetic so one might argue it’s actually actually worthwhile to get their glucose underneath management so at the least they will push off changing into diabetic hopefully for quite a few years.”

“There’s these type of hidden secrets and techniques in your meals — at the least they’re secrets and techniques to you, they’re in all probability apparent to any person,” he provides. “However even individuals who assume they knew the whole lot be taught stuff, from what I can inform, that they didn’t understand. And, yeah, there’s simply sugar all over the place.

“It in all probability strains as much as the idea that I believe now — in comparison with proper after World Conflict 2 — individuals eat one thing like 40,000x extra sugar than they used to. It’s simply all over the place.”

“I personally assume — from my standpoint — the entire world ought to be getting measured on this at the least on some remedies,” he additionally tells us. “In case your glucose is underneath management perhaps you get measured a bit of bit much less, get measured periodically. However when you’re pre-diabetic or diabetic I believe this info ought to be life-saving on some stage.”

Snyder additionally predicts the tech will get much more highly effective — because of the addition of AI and predictive modelling round meals responses based mostly on all of the empirical knowledge that’s now being ingested after being fed in by early adopters.

“That’s why you want AI,” he notes. “To begin with you’ve acquired to know which meals spike you — which of them don’t. It’s very empirical until you simply do it you don’t know stepping into — so we’re discovering some individuals spike to grapes, different individuals to pasta. All people spikes to white rice.

“However completely different individuals do spike to various things and in some unspecified time in the future we’ll get predictive about what’s doing that however proper now it’s simply empirical. And in order that’s what these units do — they educate you.”

“For January AI we have now meals recommender system as a result of we will say effectively right here’s what you’re consuming that spikes you and we all know the composition of those different meals and with affordable predictive accuracy we will say effectively this meals didn’t spike you, eat that one, don’t eat that one,” he provides.

“It sounds loopy — however it’s a large knowledge downside. It’s essential to have quite a lot of knowledge and quite a lot of understanding to have the ability to try this.”

January AI equally elements within the person’s exercise stage — given it additionally impacts glucose stage. And Snyder argues that even simply monitoring these two components is sufficient for such a service to be helpful.

“I believe that’s basically at the least two of the components — however you’re proper there are quite a lot of elements and that’s why it’s a knowledge downside,” he provides. “Usher in sufficient knowledge round you personally and we’ve acquired the info to resolve what formulation are working for you.”

Personally, I can say one factor for positive: I’ve by no means identified a gadget to be so partaking. Simply on the pure info stage.

The Ultrahuman app’s pretty formulaic alerts — which could pop as much as warn you that your glucose is rising and counsel you “get movin’” to convey the extent down; or nudge you to eat earlier within the night for “higher sleep high quality and metabolic response”; or supply some motivation by trumpeting an “epic/insane begin to the day” based mostly on minimal spikes/crashes — have been in all probability the least personally helpful factor of the product for me. As a result of, effectively, when you’re taking note of the info you’ll quickly understand that form of stuff your self.

I used to be in a short time means down the rabbit gap of testing weight-reduction plan/train tweaks to see whether or not I might establish hacks and methods to maintain issues frosty inexperienced.

It’s completely fascinating/terrifying to observe how your physique offers with the stuff you throw at it. However, be warned: Your S.O. will hate you as you inexorably whip out your telephone at lunch/dinner to first log your meal after which vicariously observe because the app scores your physique’s response to no matter you’re consuming. It’s a double whammy for display screen time. And the stickiest app I’ve used since eternally. (Generally actually given you’re logging what you’re consuming.)

However in fact it’s not excellent.

One notable performance subject I discovered is that the app wasn’t at all times in a position to distinguish between an exercise-related spike (sure intense train can increase blood sugar out of the goal vary!) and a meals associated spike (even when you’re doing cautious logging) — so it might find yourself scoring your day badly when it shouldn’t.

Train spikes are “nothing to fret about”, per Ultrahuman’s coaches — who I quizzed about this through the app’s chat operate. “The rationale for spikes throughout energy and HIIT exercises is because of a rise in adrenaline and cortisol which stimulates the liver to interrupt down glycogen into glucose,” was the reason I acquired from one of many coaches, together with the reassurance that that is: “Nothing to be apprehensive about. It’s pure phenomenon.”

Now an individual with diabetes might have to fret about going out of goal even when train is the trigger — as their physique might have bother bringing the elevated blood glucose again down once more. However an individual with out that analysis — the extra basic shopper that Ultrahuman is focusing on for Cyborg — shouldn’t, in idea, be apprehensive.

Nevertheless the app, in its present type, ended up inflicting me some concern after I did some intense train after which proper afterwards ate a meal. Excessive glucose charges brought on by the HIIT — which the app will usually notify as “a superb spike” — appeared to get co-mingled with the food-related enhance and that mixture conspired to dent my metabolic rating.

Precisely distinguishing a “good spike” from a foul one is evidently a piece in progress.

Right here’s what Kumar advised TechMac once we requested about this: “Fixing for accuracy of insights that we generate from glucose biomarkers is on the very core of our mission. If we have a look at scientific grade parameters that decide how one’s physique responds to one thing like meals, we get to know that it’s a mixture of: ‘X ( macro+micro constituent of meals ) + Y ( the state of restoration i.e stress, sleep deficit, microbiome range and so on ).’

“The platform at the moment seems to be at X intently and therefore you’d see that there are lots of exceptions to how glucose responds to meals. With our customized {hardware} that’s going dwell in early 2022, we’re altering the way in which we have a look at this by capturing the remainder of the Y elements i.e HRV, sleep and so on. We really feel this can fully change how we have a look at the meals and exercise response and the ensuing accuracy.

“For e.g.: The platform will have the ability to clearly determine the attribution of exercise and meals inside a spike. It is because we might work out your approximate glycogen launch thresholds based mostly on a mixture of glucose with different elements that we are going to seize through our customized {hardware} wearable.”

Kumar additionally mentioned the startup is beginning scientific trials for a research that relates glucose, insulin and different bodily parameters (“Triglycerides and hormone stability”) to ascertain what he described as “a correct correlation between glucose monitoring predictions (‘metabolic rating’) and the precise state of metabolic well being”.

“This has additionally been tried up to now with lesser instruments and non-continuous glucose at disposal however the v2 right here can have far more validation,” he predicts.

So, as soon as once more, extra analysis is required to attempt to enhance the decision of the ‘personalised’ snapshot of knowledge the CGM is pulling out of your arm. Which additionally implies that these innovative quantified well being companies should still be making a comparatively crude evaluation of what’s occurring in your physique at any given second.

There’s an analogous complication with meals too in fact, until you’re somebody who eats a single foodstuff per meal.

Since most of us eat meals together (bundling completely different components), it’s the combo you’re consuming that counts — and, certainly, the order wherein you eat completely different components in your plate can have an effect on the way you metabolise them. So the identical meal eaten differently (or at a special time of day) would possibly go down (or up) in another way.

Beginning with fiber wealthy meals (salad, greens and so on), transferring by means of proteins and fat and ending with (any) carbs — a deconstructed humus salad pita lunch, say — would in all probability have been much less of a low scoring lunch for me than wrapping the identical meals in bread and consuming it the short and handy means.

One other clear takeaway from my 4 weeks as a Cyborg is that quick, ‘handy’ meals — scoffed at a tempo — will, inexorably, trigger large, unhealthy-looking glucose spikes.

I additionally discovered that extra processed the meals (i.e. ready meals with added sugars, preservatives, oils and so on), have been extra prone to spike vs consuming entire meals, freshly ready.

This was not stunning to me — I’ve lengthy sought to keep away from consuming closely processed meals in favor of stuff I put together myself utilizing recent/minimally processed components — but it surely did underscore how a lot of a problematic meals tradition the Western world has developed, with its time-is-money emphasis on pace which inspires liberal use of synthetic sweeteners and different components with a purpose to flip an edible comfort meals right into a worthwhile product with an extended shelf life.

My expertise of utilizing a CGM means that consuming in a means that’s more healthy for you — as a result of it generates much less irritation and oxidative stress — requires each extra time to organize meals and extra time to eat meals.

More healthy components may additionally be dearer to purchase and assemble your self vs shopping for a product that comes prepackaged and ‘able to eat’. So well being can actually price extra, in money and time. So there are enormous socioeconomic concerns if you begin to dig into metabolic well being.

Cracking open this Pandora’s (lunch)field has implications that scale past our damaged meals system too — pertaining to wider structural inequalities baked into our societies.

Poor well being and poverty are sometimes intertwined. And it stays to be seen whether or not large knowledge and AI will have the ability to break that hyperlink by democratizing entry to worthwhile well being insights — scaling broad utility off of sufficient individual-level learnings — or whether or not tech’s wealth divide will simply serve to additional speed up inequalities as well being tech will get smarter too.

The idea of a cyborg immediately implies a brand new elite tier of humanity. However what about all those that can’t afford to be wired in?

Pizza for dinner? A gradual however regular rise in blood sugar could comply with… (Picture credit: Natasha Lomas/TechMac)


Verdict & Worth

Whereas I stay (healthily) sceptical of the size of the potential features being claimed for metabolic monitoring, 4 weeks as an Ultrahuman Cyborg was lengthy sufficient to persuade me that is the beginning of one thing large. And I didn’t have an apparent want going into testing the product — similar to desirous to drop pounds or needing to get match. I’m simply excited by staying wholesome.

Nor am I an enormous fan of health wearables, usually. However this felt like a special stage of self quantification.

The way forward for healthcare will definitely be about shifting in the direction of preventative interventions by leveraging knowledge accessibility to tell and increase our concepts about what’s good and wholesome for us — even when, the place metabolic well being is anxious, there’s no scarcity of studying and analysis nonetheless to do.

The information from particular person sensors (Ultrahuman’s service alone has some 400x cyborgs on the time of writing) may even feed analysis that may proceed to deepen our understanding of complicated metabolic processes. Though there’s a diploma of threat that business pursuits will search for outcomes which assist and underscore their perspective, the potential scale of use — as extra of those companies launch — ought to assist drive transparency and maintain the science clear.

On the identical time there’s lots to be cautious about.

Essentially the most engaged and scientifically literate customers are prone to get essentially the most out of this form of monitoring as they will convey wider data/assets to bear to assist them interpret their knowledge — whereas a much less knowledgeable person would possibly take an excessively simplistic learn of what the knowledge means.

There may be additionally the danger that linking large daring stress triggers to meals and different way of life occasions might result in (or exacerbate) issues like consuming problems. The service wrapper and assist are subsequently a extremely key piece of profiting from what CGM tech can supply.

Briefly, poor UX selections might have critical ramifications. And quite a lot of care and due diligence is required over service design and supply.

Long term, having a snapshot view of blood glucose could — by itself — change into far too limiting.

A extra absolutely built-in monitoring platform is prone to be wanted to ship the perfect understanding of a person’s metabolism, drawing in a wide range of indicators and biomarkers. Though, proper now, monitoring glucose appears like a begin; one which gives the prospect to experiment with way of life tweaks that would accrue important advantages over time — in a means that’s much more motivating than attempting to determine wholesome particular person dietary decisions with none type of real-time suggestions.

Even simply 4 weeks utilizing the product yielded so many fascinating tidbits and a lot meals for thought — avocado and egg is an excellent strong breakfast alternative!; beer is a horrible spiker however pure cider seems to be (er) virtually medicinal!; olives and nuts are actually the meals of the Gods! — and the expertise has led me to make some small however sustained way of life modifications.

The jury continues to be out on whether or not these tweaks are genuinely worthwhile from a long-term well being perspective. However given the modifications weren’t particularly radical, even when there’s solely a tiny probability they’ve a profit then, actually, the place’s the hurt in that?

That mentioned, one other qualification: I do wonder if (additional) decreasing the quantity of carbs I eat — on account of seeing how a lot they will spike me — won’t have capped how a lot power I’ve out there for coaching functions.

I already had a reasonably low consumption of carbs and it’s necessary to keep in mind that meals can be gas — and power wants range. So a ‘spikes are dangerous, stability is greatest’ view on blood glucose could also be too simplistic for an above common sporty way of life.

There’s a actual must plug this knowledge into related specialisms. A private coach would doubtless have the ability to make much more clever use of my outcomes for me — based mostly on realizing my particular person gas for coaching wants. Such an individual could even have the ability to advise on dietary tweaks that would let me have my bread and eat it, so to talk.

However in fact a private coach — or nutritionist — isn’t one thing everybody can afford or in any other case justify based mostly on their (non-Olympic athlete) way of life. So on that entrance the product seems to be good worth. (Even when you’re principally getting uncooked knowledge and must do a lot of the broader interpretation your self.)

How a lot does Ultrahuman’s Cyborg price? The beta program is priced at ~$80 for 2 weeks (or $470 for 12 weeks). In case you have been paying a human private coach to be in your case and analyzing your knowledge 24/7 it will be much more costly than that — so it seems to be like fairly good worth. (A good private coach may cost $80 an hour.)

It’s necessary to emphasise that the app isn’t actively attempting to be a full-time private coach. However it will possibly do some basic items like supply train nudges in case your blood glucose will get too excessive and — retrospectively — establish your “greatest exercise zones”, aka optimum time home windows to take train over the course every week based mostly on how your physique was fuelled. (“Do you see a development? Use these instances to your benefit to crush your subsequent exercise” was one suggestion it emailed me, though this nudge appeared extra random than helpful tbh.)

There are additionally a number of (human) coaches available within the app to take questions and enable you analyze your knowledge. Plus you may at all times ask for assist from different customers through the invite-only Cyborg Slack channels. (Albeit, that’s crowdsourced knowledge, not devoted skilled assist.) So the ‘relative worth’ price-tag comes with the caveat that more often than not you’re by yourself on the subject of drilling in and distilling extra nuanced insights.

Another thought to ponder: As with each data-driven and ambitiously predictive AI product the Cyborg isn’t simply coaching you; your knowledge is coaching the Cyborg… So how a lot do you assume 24/7 entry to your biology is value?

The worth being derived out of your extremely intimate private knowledge flows two methods — and that upside isn’t essentially being distributed equally. In case you really feel you’re getting sufficient worth from the service that won’t hassle you. However privateness concerns are not possible to disregard.

Even when you’re snug sharing such intimate knowledge with a business firm so as to have the ability to entry the service, Ultrahuman’s privateness coverage for Cyborg notes some circumstances the place your info could find yourself elsewhere — similar to if it receives a subpoena it’s legally sure to answer.

The coverage additionally specifies that: “Anonymized, aggregated knowledge could also be shared with advertisers, analysis companies and different companions.” And robustly anonymizing well being knowledge has been proven to be notoriously tough to do, even because the adtech trade has proven a rapacious urge for food for triangulating and “sharing” knowledge to higher profile people for focusing on — as much as and together with making use of labels like “diabetes”. So your extremely private knowledge leeching from a CGM into the fashionable internet’s manipulative microtargeting advert matrix just isn’t, sadly, not possible to think about.

However let’s finish on a private be aware: What has Kumar himself discovered from utilizing CGM to trace his glucose?

“For me the most important studying has been round increasing my meals spectrum and incorporating extra of the meals that I like. Previous to this I just about adopted a disciplined weight-reduction plan however couldn’t maintain it for lengthy given it will have an effect on social consuming and so on. With Cyborg, I’m in a position to perceive how I can stability meals with my exercise. On the times I carry weights or am usually extra energetic, I do know that I’ve a bit of bit of additional flexibility round consuming what I wish to,” he tells TechMac.

“The opposite large studying — which is a piece in progress — is round sustaining secure power ranges all through the day. For me, secure glucose ranges are broadly correlated to secure power ranges and that is what I’ve been attempting to keep up throughout a specific week the place I’ve quite a lot of studying work to do.”


Innovative competitors

Right here, previous the quantified self development’s needle-phobia line, is actually a wild(er) west — a lesser trodden area of experimental startup alternative. Naturally, it’s much more fascinating than boring outdated step/sleep monitoring, precisely as a result of it’s a lot much less acquainted.

There’s a real sense of discovery as you fireplace the spring-loaded CGM sensor into your arm; feeling like a little bit of a pioneer, concerned in a type of citizen science collective — with the fascinating alternative to design and run experiments that interrogate the well being of your individual way of life.

On prime of that, is the overarching risk that what you be taught personally is likely to be helpful to others — inspired by Ultrahuman’s community-building efforts round Cyborg (similar to its Slack channels, the place early adopters are inspired to share their learnings; in addition to digital and in particular person meet ups) — so there’s a ‘philanthropic mission’ really feel as effectively.

Startups which might be daring sufficient to get entangled in skin-puncturing machine-human interactions do have an opportunity to face out. In spite of everything, mainstream tech giants merely can’t be that freaky. And it units them other than the broader wellness quantification crowd that’s plumped for a extra quotidian biomarker to trace.

That in flip means these startups have an opportunity to seize some very intimate organic knowledge to feed their product dev, knowledge science, AI fashions and algorithmic predictions; and — doubtlessly — jockey themselves into place to race forward as shopper urge for food for personalised well being companies steps up.

On the blood glucose monitoring entrance — an exercise that has historically been related to individuals who have circumstances like diabetes (or pre-diabetes) — numerous startups at the moment are taking the plunge into prepared recipients’ interstitial fluids.

In addition to (India’s) Ultrahuman, with its nonetheless beta Cyborg service, there’s January AI, which does glucose monitoring mixed with coronary heart price monitor knowledge to supply personalised meals predictions and train ‘recipes’ that can assist you burn off any indulgent extra; Ranges Heath, which has bagged backing from a16z; Signos, which is utilizing CGMs to supply real-time weight reduction recommendation; the athletic-performance targeted Supersapiens; and NutriSense, which gives large image soundbites round “optimizing” your “each day well being efficiency”, to call a number of of Ultrahuman’s US CGM-leveraging rivals.

There are extra opponents in Europe — together with (UK-based) Zoe, which is utilizing knowledge from large-scale microbiome research to generate AI fashions to foretell particular person meals responses. So in addition to getting customers to put on a blood glucose monitor, it additionally asks them to ship in stool samples for lab evaluation.

Additionally focusing on glucose monitoring within the area is Germany’s Perfood (“personalised weight-reduction plan” for weight administration); and Holland’s Clear Diet (“be taught your distinctive responses to meals” and “construct your individual diet plan”). On the time of writing, one other European firm on this nascent area, Finland’s Veristable — or Veri for brief — was noticed promoting its 24/7 glucose monitor service on photo-sharing social community Instagram.

The advert pictured a really hipster look mannequin sporting the identical disc-shaped wearable which Ultrahuman’s service makes use of (and certainly many others do), taped over with a trendy gray patch vs the previous’s black and white disk emblazoned with its tipped ‘Ok’ image. “Finish the Guessing Recreation of “What Ought to I Eat?” Veristable’s advert proclaimed, pointing Europeans towards a €159pm service.

Each Veri, which raised a seed spherical in June (per Crunchbase), and Ultrahuman — and quite a few others — are utilizing a CGM made by Abbott (the aforementioned FreeStyle Libre). This disc-shaped data-collecting system comes with a spring-loaded applicator that’s armed with a hole needle. As soon as positioned in place you press down (firmly however not too firmly) and it fires the filament instantly into your flesh.

The novelty right here isn’t the tech itself — CGMs have been round for some years (Abbott’s FreeStyle Libre was launched in 2016 for instance, whereas Dexcom, one other maker, acquired FDA approval for a completely interoperable CGM that might be used with different digital diabetes administration units again in 2018) — it’s what they’re doing with it that’s experimental.

So whereas CGM tech has already been a transformative expertise for individuals with diabetes and pre-diabetes, it’s solely comparatively lately there have been strikes to commercialize it for a extra basic person who simply desires to get to know their very own physique higher.

Final summer season, Dexcon gained FDA clearance for its real-time APIs for third occasion builders and units. Health {hardware} maker Garmin was among the many first wave of firms signed as much as work with it to develop customers’ entry to their glucose knowledge, albeit nonetheless with a give attention to boosting utility for individuals with diabetes.

However buyers have been fast to identify broader shopper potential — and are more and more injecting funds to speed up developments and get CGMs into many extra arms.

Early final 12 months, for instance, January AI topped up with an extra $8.8M; whereas Zoe bagged a $53M Collection B in Could 2021 (lately expanded once they added Balderton as an investor). Ultrahuman additionally introduced a $17.5M in Collection B (in August 2021); whereas Signos raised a $13M Collection A in November.

As extra knowledge flows, it’s a secure wager that rather more VC money will comply with. 

Ultrahuman’s PR factors to the size of the addressable potential market — speaking about an rising “metabolic well being disaster”, and claiming that some 88%+ of People (and nearly 80% of the worldwide inhabitants) are “coping with a metabolic dysfunction”; and thus might doubtlessly profit from becoming a member of its “Cyborg military”, because it manufacturers early adopters.

So the potential addressable market is large. Though any such wider onboarding seems to be like it’ll entail a steep studying curve — as startups search to push past the low friction pond of early adopters and efficiency fanatics and step exterior the quantified self and biohacking communities the place this tech will naturally thrive.

An enormous a part of Ultrahuman’s community-building efforts give attention to encouraging customers to share particular person experiences and suggestions through invite-only Cyborg Slack channels and Townhalls, in addition to signing up sporty influencers to evangelise the advantages of “efficiency fuelling” and different biohacking strategies that feed the aim of sporting a CGM.

“The world at the moment has over 500M+ people who find themselves diabetic however when you have a look at the issue holistically, you’d discover that there are nearly 600M+ pre-diabetic individuals,” its PR goes on to assert, earlier than suggesting the remedy: CGM expertise mixed with “well being rating algorithms” and “prompt well being nudges” — which it argues “might assist hundreds of thousands enhance and assist management / reverse this disaster”.

Whether or not hundreds of thousands of individuals will be bought on carrying a sensor of their pores and skin stays to be seen.

However the expertise could effectively evolve so it may be much less invasive — and extra mainstream-friendly — with out dropping an excessive amount of accuracy. At which level there’s no motive to assume it wouldn’t change into a typical little bit of health equipment.

Whether or not a metabolic tracker subscription service is one thing hundreds of thousands of individuals will shell out for each month is one other query. However when you’ve had a taster of this sort of knowledge entry it may be addictive. Even when you might also really feel a bit ‘watched’ and judged because the sensor feeds again knowledge in your way of life decisions and the software program scores how healthily you reside.

It’s humorous to think about that the world’s unhealthy pursuit of one thing candy to eat could, over time, get commercially rerouted into monitoring and biohacking the rollercoaster experience of blood sugar — which ought to at the least be a more healthy fixation than blindly chasing the following sugar excessive.



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