Building AI at the intersection of Smartphone Technology and Human Physiology.
San Francisco, CA
Joined September 2013
- Tweets250
- Following155
- Followers1.4K
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Personalized health AI has a dirty little secret:
It’s hungry.
The Verge spent ~ 100 days with @TwinHealthUS' digital twin. The system consumed CGM data, a smart scale, blood pressure readings, Apple Watch data, labs and daily logs.
The writer’s triglycerides dropped 70 mg/dL.
She also described real tracking fatigue.
That tension matters.
How much tracking will people tolerate before “personalized” starts to feel like a second job?
#PersonalizedMedicine #DigitalHealth #HealthcareAI #DigitalBiomarkers
theverge.com/column/1011264/…
94% sensitivity. 67% specificity. From a consumer smartwatch.
A Stanford validation study of 147 adults found @Samsung Galaxy Watch 6 could screen for moderate-to-severe sleep apnea with high sensitivity.
It’s not a diagnosis. That’s what makes the story interesting.
Consumer devices are moving upstream into screening.
What matters most for population screening: sensitivity, specificity, or friction?
#DigitalHealth #SleepHealth #DigitalBiomarkers #HealthcareAI
medicalxpress.com/news/2026-…
The interesting part of NeuroRPM Inc.’s latest move isn’t just the FDA clearance.
It’s where the data is going.
By integrating Parkinson’s monitoring into @athenahealth, tremor and dyskinesia data can move closer to the clinician’s normal workflow instead of living in a separate digital-health silo.
That may be the bigger test for digital biomarkers now:
Not “Can we measure it?”
But “Can we make the measurement easy enough to use routinely?”
@BioTrillion addresses that challenge by eliminating dedicated hardware and using smartphones to capture neuro and motor biomarkers.
For remote monitoring, workflow friction may matter just as much as sensor accuracy.
#RemotePatientMonitoring #Neurology #DigitalBiomarkers #NeuroTwitter
globenewswire.com/news-relea…
Healthcare AI has a memory problem.
@HimsHersComms is building its weight-loss AI around longitudinal context: treatment history, medication dose, goals, clinician interactions, and what happened after earlier decisions.
A health recommendation without history is just a snapshot.
@BioTrillion's solution addresses the same problem in a different way.
@BioTrillion’s DigitalDoctor interprets changing physiological biomarker patterns together with relevant context.
For longitudinal care, which is harder: remembering the patient’s story, or measuring how the body is actually changing?
#HealthcareAI #DigitalHealth #Telehealth #PersonalizedMedicine
investors.dexcom.com/news/ne…
A health sensor can work well and still fail at scale.
@Dexcom surveyed 2,500 people with Type 2 diabetes and 800+ healthcare professionals across 8 countries.
55% of patients reported limited CGM knowledge.
90% of clinicians cited coverage & reimbursement barriers.
That makes access part of the technology problem.
@BioTrillion addresses a different access barrier: hardware.
Its API/SDK can bring smartphone-based biomarker measurement into existing health workflows without requiring a separate dedicated device.
For digital health at scale, what is hardest to eliminate: reimbursement friction, knowledge gaps, or hardware burden?
#DigitalHealth #Diabetes #DigitalBiomarkers #HealthTech
investors.dexcom.com/news/ne…
Wearable data is moving from wellness metric to healthcare outcome.
@Oura and @CounselHealth are joining @CMS’s ACCESS model to test whether continuous biometrics plus medical AI can improve chronic care at Medicare scale.
That puts biometrics inside a much harder test: measurably improving chronic care.
@BioTrillion approaches the measurement problem differently: objective biomarker capture without requiring a wearable or new device.
A 10-second #HealthySelfie scan captures 10 digital biomarkers through an API/SDK, using only a smartphone.
For chronic care at scale, which matters more: continuous passive monitoring, or much lower measurement friction?
#DigitalHealth #HealthcareAI #DigitalBiomarkers
fiercehealthcare.com/health-…
What if the scans we already take can tell us more than we ever asked them to?
@Clairity’s FDA-authorized #AI model uses a standard mammogram not only to look for cancer today, but to help predict future breast-cancer risk.
That shift matters: familiar images can become new sources of health intelligence.
@BioTrillion is built around the same idea. A 10-second #HealthySelfie uses the smartphone camera to turn subtle physiological signals into objective biometrics.
If AI can reveal new health information from images we already capture, how many everyday sensors are still being underused?
#HealthcareAI #EarlyDetection #DigitalHealth #DigitalBiomarkers
axios.com/local/boston/2026/…
What if the first sign of disease appears years before you feel anything?
@MayoClinic researchers are combining biological, environmental, and health data with #AI to find those early shifts before symptoms begin.
@BioTrillion is built around the same missing window. One 10-second #HealthySelfie can capture objective neuro, cardio, and mobility biometrics from daily life, turning otherwise invisible physiology into measurable longitudinal data.
If disease changes the body before symptoms appear, why are we still waiting for symptoms to start measuring?
#PreventiveHealth #DigitalHealth #DigitalBiomarkers #HealthcareAI
newsnetwork.mayoclinic.org/d…
The founders of @Fitbit are back with @Luffu, an #AI-powered family health platform built to help people keep a closer eye on aging parents and children.
The bigger shift is clear: health AI is moving from tracking one person to understanding the people we care about most.
@BioTrillion approaches that future from another angle. #HealthySelfie captures objective biometrics in 10 seconds, while DigitalDoctor adds context and targeted questions, combining what the body shows with what a person reports.
If AI is becoming a family health companion, shouldn’t it understand both sides of the health story?
#DigitalHealth #HealthyAging #DigitalBiomarkers #HealthcareAI
axios.com/2026/08/25/luffu-f…
Proud to share that @BioTrillion has been selected to the @TechCrunch #StartupBattlefield200 - a handpicked cohort chosen from thousands of applicants around the world!
In San Francisco this October, we’ll showcase our years of hard work that can now transform the smartphone in 5B hands into an AI-powered health monitor.
Grateful to the TechCrunch Startup Battlefield team for the recognition.
techcrunch.com/2026/08/20/th…
#StartupBattlefield #TechCrunchDisrupt #HealthTech #DigitalHealth #AI
@Teladoc launched Teladoc One, an #AI-driven connected-care platform built to guide patients and care teams in real time.
That is the future of #Telehealth.
But real-time care needs real-time signals.
@BioTrillion starts one layer earlier. One 10-second #HealthySelfie can capture objective biomarkers from daily life, so AI is not relying only on records, claims, devices, or what someone remembers to report.
If care is becoming always-on, shouldn’t measurement be always-with-you?
#DigitalHealth #HealthcareAI #DigitalBiomarkers
healthcareitnews.com/news/te…
@Hemispheric emerged from stealth with $52M to build an AI brain foundation model trained on 250,000+ hours of brain activity data.
The message is clear:
The brain needs objective measurement, not just subjective reporting.
@BioTrillion is built on the same belief, but brings it into everyday life. One 10-second #HealthySelfie can capture neuro, cardio, and mobility biomarkers using the smartphone people already carry.
The next exam room may not be a room at all.
If every major organ deserves objective measurement, why is so much of healthcare still waiting for a clinic visit?
#NeuroTech #AI #DigitalHealth #DigitalBiomarkers
mobihealthnews.com/news/hemi…
@NekoHealth raised $700M to bring AI-powered full-body scans to the U.S., combining imaging, biomarkers, and physician review to catch disease risk before symptoms appear.
That is the right mission: prevention before crisis.
@BioTrillion shares the same thesis, but removes the friction.
No clinic.
No scan room.
No new hardware.
One 10-second #HealthySelfie can capture objective neuro, cardio, and mobility biomarkers using the smartphone people already carry.
If prevention is the future, why should it begin with an appointment?
#DigitalHealth #AI #PreventiveHealth #DigitalBiomarkers
mobihealthnews.com/news/neko…
@CumulusNeuroscience just showed what the future of #ClinicalTrials looks like: 52 weeks of at-home cognitive, EEG, sleep, and speech-based #DigitalBiomarker capture in mild Alzheimer’s disease dementia.
That is the real breakthrough: not just better endpoints, but fewer clinic-only snapshots.
@BioTrillion is building for the same shift. A 10-second #HealthySelfie can capture neuro, cardio, and mobility biomarkers using the smartphone people already carry.
Disease does not wait for site visits.
So why do trials?
#DigitalHealth #AI #RemotePatientMonitoring
biospace.com/press-releases/…
@CumulusNeuroscience just showed what the future of #ClinicalTrials looks like: 52 weeks of at-home cognitive, EEG, sleep, and speech-based #DigitalBiomarker capture in mild Alzheimer’s disease dementia.
That is the real breakthrough: not just better endpoints, but fewer clinic-only snapshots.
@BioTrillion is building for the same shift. A 10-second #HealthySelfie can capture neuro, cardio, and mobility biomarkers using the smartphone people already carry.
Disease does not wait for site visits.
So why do trials?
#DigitalHealth #AI #RemotePatientMonitoring
biospace.com/press-releases/…
Health insights are becoming part of mainstream UX.
Now the hard part is making sure they are real.
@Apple's Health app is adding perimenopause support, helping users notice cycle patterns that may be suggestive and log related symptoms over time.
That matters far beyond women’s health.
It signals a broader shift in consumer health:
From passive tracking → to pattern recognition
From raw data → to understandable insights
From “what happened?” → to “what might this mean?”
At @BioTrillion, we see the same future across broader physiology.
The next generation of health apps should not just collect symptoms or display generic advice. They should measure objective signs quickly, translate them clearly, and help people understand their bodies in real life.
Because as health insights become mainstream, the key question is not whether apps can say more.
It is whether those insights are grounded in real signals.
What should the standard be for consumer health insights: symptom logs, objective biometrics, clinical validation, or all three?
#WomensHealth #DigitalHealth #DigitalBiomarkers #AI #HealthTech
techcrunch.com/2026/06/08/ap…
I'm happy to share that @BioTrillion will be presenting as a Finalist at the @HITLABnyc World Cup Innovation Pitch Day 2026.
Join me and other leading innovators on June 17 at @UVUScup.
Join me and innovators! Apply here to attend the Pitchday (June 17) & Hackathon (June 17-18) : hitlab.org/worldcup/attend/
@ParkinsonsNewsToday reports a Phase 2 @Herantis trial using @Indivi’s smartphone-based digital biomarker platform to detect early motor and cognitive changes in Parkinson’s. The thesis is simple: higher-frequency, real-world endpoints can beat infrequent clinic scores.
@BioTrillion is pushing the same direction: multi-signal neuro and cardio biomarkers from a short selfie video, designed for decentralized settings and clinical studies. If trials can measure tremor and gait remotely and repeatedly, what does a “site visit schedule” even mean anymore? #ClinicalTrials #Parkinsons #Biomarkers
parkinsonsnewstoday.com/news…
@HealthcareITNews says #RemotePatientMonitoring is hitting a reality check: more devices and more data do not automatically translate into better outcomes. Programs are leaning on #AI and automation, but long-term success still depends on making RPM usable for humans.
@BioTrillion is built for the usability constraint. A single 10-second smartphone scan can add objective “digital vitals” into telehealth and RPM without shipping hardware, charging it, or getting patients to wear it. If RPM has to feel effortless to stick, why are we still designing it around gear? #DigitalHealth #Telehealth
healthcareitnews.com/news/re…
@UC Irvine researchers just introduced a wearable, bioelectronic sweat sensor for long-term health monitoring that is wireless, battery-free, and designed to restore its own sensing surface for continuous use. That is a provocative glimpse of where #HealthTech is heading: toward physiology that can be measured more continuously, more passively, and with far less friction.
@BioTrillion shares that same core thesis from a smartphone-first angle. The future of #DigitalBiomarkers may belong to the platforms that make subtle physiology easiest to capture in everyday life, whether through a sensor on the body or through BioEngine4D on the smartphone already in your hand. When health signals become ambient, what part of medicine still stays episodic?
news.uci.edu/2026/05/13/uc-i…
