Struggling with chronic idiopathic nausea. Need help please DM. Into medical ai.
San Francisco, CA
Joined November 2025
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Cali Girl retweeted
Declassified CIA documents prove they KNEW in the 1950s that anti-parasitics disrupt cancer growth.
They didn’t ignore it.
They BURIED it for over 50 years.
This critical line of cancer research was deliberately suppressed — setting real progress back more than HALF A CENTURY.
Millions of cancer victims have paid the ultimate price.
The cover-up is over. The truth is out.
And the data on repurposed anti-parasitics is now impossible to ignore.
Cali Girl retweeted
The US government will give your startup up to $2M and take 0% equity.
It's called America's Seed Fund, run by the National Science Foundation.
What you get:
• Up to $305K to start (Phase I)
• Up to $2M total per company for R&D
• 0% equity: you keep your company and your IP
• Funding across AI, robotics, semiconductors, energy, medical devices and more
What you don't need:
• A VC
• A warm intro
• A pitch deck to get started
You start with a short online pitch and hear back in about 1–2 months.
ThousandEyes started with NSF funding as a 2-founder team. Cisco later bought it for around $1B.
The condition: you're a US small business building deep tech, meaning something based on real science or engineering.
Next deadline: Nov 4, 2026.
Bookmark it and send it to the deep tech founder who thinks VC is the only way.
Start your Project Pitch here: seedfund.nsf.gov
Cali Girl retweeted
This new study is insane…
ENOKI MUSHROOM extract just SUPPRESSED cancer growth by 99.8%.
Tumors COMPLETELY DISAPPEARED in 67% of mice.
Immune system macrophage counts INCREASED by 166%.
The mushroom was administered for just 10 DAYS.
Human studies are URGENTLY WARRANTED.
Cali Girl retweeted
Dandelion root extract ELIMINATED over 95% of human cancer cells within 48 HOURS in the lab.
It also SUPPRESSED human tumor growth in mice by over 90%.
There was ZERO observed toxicity after taking dandelion root for 75 days straight.
Health Canada authorized human trials over a DECADE AGO… yet they strangely NEVER happened.
Cali Girl retweeted
You need to be poop maxing.
-EVOO
-Raw carrot between meals
-Vitamin C
-Eating breakfast
-Glutamine
-Magnesium
-Taurine
-Glycine
-Okra
-Electrolytes
-Kiwis
-PHGG
-Zinc
-Bifidobacterium lactis HN019 + bifidum
-Saffron
-Melatonin
-Thyroid
-Kimchi
-No gluten
-Bone broth
Poop mog.
fitandball.gumroad.com/l/bra…
Cali Girl retweeted
Managing my digestive problems became a second job.
That’s why I started Gutsphere: a lifelong digestive-care copilot, starting with chronic constipation.
Your history, daily actions and medical care should stay connected.
Here’s what that looks like. Sound off.
Cali Girl retweeted
The rise of “poop positivity” has turned a 30-year-old research tool into a gut health tracker. nbcnews.com/health/health-ne…
Cali Girl retweeted
🫃🧠 A PATIENT CAN SPEND MONTHS SAYING “SOMETHING IS WRONG WITH MY STOMACH” WHILE EVERY TEST CAPTURES ONLY ANOTHER SNAPSHOT.
The stomach isn't a snapshot.
It's a living system.
Motility.
Electrical activity.
Meals.
Symptoms.
Medication.
Sleep.
Stress.
Microbiome.
Brain–gut signaling.
Inflammation.
Behavior.
And increasingly, digital biomarkers.
The opportunity isn't another symptom tracker.
IT'S TO UNDERSTAND THE GASTRIC SYSTEM OVER TIME.
That's the company I'd build around:
GastricSystem.com
THE INTELLIGENCE OPERATING SYSTEM FOR DIGESTIVE HEALTH.
Not an AI pretending to diagnose every stomach problem.
Not another food diary.
Not another disconnected wearable.
A clinically governed platform designed to connect longitudinal digestive-health signals into a useful picture for patients, clinicians and researchers.
PATIENT → SYMPTOM → MEAL → PHYSIOLOGY → TEST → TREATMENT → RESPONSE → PATTERN → CLINICAL INSIGHT
One principle:
DON'T JUST RECORD THE SYMPTOM. UNDERSTAND THE SYSTEM AROUND IT.™
🔥🔥🔥
🫃 GASTRIC TWIN™
Build a longitudinal digital representation of the patient's gastric journey.
Connect, where clinically appropriate:
Symptoms.
Meals.
Medications.
Clinical history.
Laboratory results.
Imaging.
Endoscopy findings.
Physiological measurements.
Wearable signals.
Patient-reported outcomes.
Instead of another isolated appointment:
SEE THE TRAJECTORY BETWEEN APPOINTMENTS.
That direction is increasingly plausible: current GI research is exploring multimodal imaging, digital biomarkers and real-time longitudinal monitoring as complementary inputs for gastrointestinal assessment. (Frontiers)
🔥🔥🔥
📈 SYMPTOM MAP™
“Stomach pain” isn't enough information.
Track:
When?
After which meal?
How severe?
For how long?
With nausea?
Bloating?
Reflux?
Early fullness?
Vomiting?
Medication changes?
Sleep changes?
Then map symptom patterns against time and other available signals.
FROM “I FEEL BAD” TO A STRUCTURED HISTORY A CLINICIAN CAN ACTUALLY REVIEW.
🔥🔥🔥
🍽️ MEAL RESPONSE™
Food diaries are tedious.
The useful question is:
WHAT HAPPENS AFTER THE FOOD?
Connect meals with:
Timing.
Symptoms.
Satiety.
Bloating.
Reflux.
Nausea.
Activity.
Sleep.
Other clinically relevant measurements.
Then surface repeatable patterns for review.
Not:
“THIS FOOD CAUSED YOUR CONDITION.”
But:
“THIS PATTERN REPEATED—HERE'S THE EVIDENCE TO DISCUSS WITH YOUR CARE TEAM.”
🔥🔥🔥
⚡ GASTRIC SIGNAL™
The stomach produces physiological signals that increasingly can be measured outside traditional episodic testing.
For example, non-invasive systems already exist that combine gastric electrical measurements with real-time symptom recording to provide clinicians with additional information about gastric function. (Alimetry)
GastricSystem could become the broader intelligence layer around compatible clinically validated signals.
SIGNAL
↓
SYMPTOM
↓
MEAL
↓
CONTEXT
↓
PATTERN
↓
LONGITUDINAL GASTRIC INTELLIGENCE
🔥🔥🔥
🧠 GASTRIC AI™
Imagine a clinician asking:
“What changed since the last appointment?”
“Which symptoms consistently follow meals?”
“Did the pattern change after treatment?”
“Which signals deserve closer review?”
“Summarize the last 60 days.”
The objective isn't autonomous diagnosis.
IT'S TURNING MONTHS OF FRAGMENTED PATIENT DATA INTO CLINICALLY USEFUL CONTEXT.
🔥🔥🔥
🚨 CHANGE DETECTOR™
Digestive conditions can fluctuate.
Instead of waiting for the next scheduled visit to discover that something has changed, monitor authorized longitudinal signals for meaningful deviation.
PERSONAL BASELINE
↓
CHANGE
↓
PERSISTENCE
↓
CONTEXT
↓
CLINICAL REVIEW
Digital GI platforms are already exploring remote monitoring and earlier identification of changing disease activity, particularly in chronic GI care. (Flarity)
THE VALUE ISN'T ANOTHER ALERT. IT'S EARLIER CONTEXT.
🔥🔥🔥
👨⚕️ GI CLINIC™
The clinician experience matters as much as the patient app.
Before the appointment:
60 DAYS OF DATA
becomes:
ONE CLINICAL SUMMARY.
Symptoms.
Trends.
Relevant changes.
Medication adherence.
Patient-reported outcomes.
Questions.
Potential discussion points.
Canadian research with an IBD digital-health platform found that longitudinal patient tracking could be integrated into GI care, while also highlighting the challenge of maintaining long-term patient engagement. (OUP Academic)
LESS TIME RECONSTRUCTING THE HISTORY. MORE TIME DISCUSSING THE PATIENT.
🔥🔥🔥
🔬 RESEARCH MODE™
Now imagine appropriately consented, de-identified longitudinal datasets across thousands of patients.
Researchers could investigate relationships between:
Symptoms.
Phenotypes.
Interventions.
Physiology.
Digital biomarkers.
Treatment response.
Long-term outcomes.
AI research in GI medicine is already moving toward multimodal fusion, temporal modeling and digital biomarkers—but clinical translation still requires validation, interoperability, privacy governance and explainability. (Frontiers)
THE PRODUCT CAN CREATE CARE INFRASTRUCTURE AND RESEARCH INFRASTRUCTURE AT THE SAME TIME.
🔥🔥🔥
🛡️ CLINICAL GUARD™
Healthcare AI requires boundaries.
Every workflow should distinguish:
Patient observations.
Measured data.
AI-generated summaries.
Clinical interpretations.
Verified medical information.
Uncertainty.
Human review.
And when evidence isn't sufficient:
THE SYSTEM SHOULD SAY SO.
No invented diagnoses.
No unsupported treatment recommendations.
No hiding uncertainty behind a beautiful interface.
TRUST IS A PRODUCT FEATURE.
🔥🔥🔥
🧬 THE GASTRIC GRAPH™
PATIENT
↓
SYMPTOM
↓
MEAL
↓
PHYSIOLOGY
↓
BIOMARKER
↓
TEST
↓
DIAGNOSIS
↓
TREATMENT
↓
RESPONSE
↓
OUTCOME
↓
DIGESTIVE HEALTH INTELLIGENCE
Traditional medical records understand:
VISITS.
GastricSystem.com could help organize:
WHAT HAPPENS BETWEEN THEM.
🔥🔥🔥🔥
THE FLYWHEEL
More longitudinal data.
↓
More patterns identified.
↓
Better clinical summaries.
↓
Better patient conversations.
↓
More outcomes captured.
↓
Better understanding of response.
↓
Better research datasets.
↓
Better validated intelligence.
↓
EVERY PATIENT JOURNEY CAN HELP THE SYSTEM UNDERSTAND GASTRIC HEALTH MORE DEEPLY.
That's the potential moat.
Not another generic medical chatbot.
THE LONGITUDINAL GRAPH CONNECTING SYMPTOMS, PHYSIOLOGY, INTERVENTIONS AND OUTCOMES.
🔥🔥🔥
💰 THE BUSINESS MODEL
Clinic subscriptions.
Hospital deployments.
Remote-monitoring programs.
Patient premium services.
Research partnerships.
Life-sciences collaborations.
Clinical-trial infrastructure.
Data integrations.
Developer APIs.
Enterprise analytics.
Eventually:
DIGESTIVE HEALTH INTELLIGENCE AS A SERVICE.
🔥🔥🔥
WHY GastricSystem.com STANDS OUT
The domain sounds clinical before the product is explained.
GASTRIC + SYSTEM
GASTRIC immediately identifies the medical territory.
SYSTEM expands the concept beyond one symptom, test or treatment.
Together:
GastricSystem.com
can naturally support:
GastricSystem AI
GastricSystem Clinic
GastricSystem Monitor
GastricSystem Research
GastricSystem Patient
GastricSystem API
And .com gives the brand global commercial reach.
IT SOUNDS LESS LIKE A WELLNESS APP AND MORE LIKE HEALTHCARE INFRASTRUCTURE.
🔥🔥🔥
THE BUYERS I'D TARGET FIRST
DIGITAL GI HEALTH COMPANIES
Expand from individual programs into a broader digestive-health intelligence layer.
GASTROENTEROLOGY TECHNOLOGY
Connect diagnostic and monitoring technologies to longitudinal patient context.
HOSPITAL + SPECIALTY-CARE SOFTWARE
Build GI-specific intelligence alongside existing clinical systems rather than replacing them.
REMOTE PATIENT MONITORING
Create specialized digestive-health monitoring programs around validated signals and workflows.
PHARMA + LIFE SCIENCES
Improve longitudinal evidence, patient support and appropriately designed research programs.
MEDTECH COMPANIES
Turn individual gastric measurements into a broader data and intelligence ecosystem.
FOUNDERS + VENTURE STUDIOS
Build the operating system connecting the fragmented pieces of digestive health.
🔥🔥🔥
THE BUYER PITCH
Healthcare has become extraordinarily good at producing individual pieces of information.
A scan.
A scope.
A lab result.
A symptom questionnaire.
A prescription.
A wearable signal.
A clinical note.
But chronic digestive problems unfold over:
TIME.
The bigger opportunity is connecting those pieces into a longitudinal system that helps patients and clinicians understand:
WHAT CHANGED.
WHEN IT CHANGED.
WHAT HAPPENED AROUND IT.
HOW THE PATIENT RESPONDED.
WHAT DESERVES ATTENTION NEXT.
Don't build another place to record stomach symptoms.
BUILD THE INTELLIGENCE LAYER THAT HELPS MAKE THE GASTRIC SYSTEM UNDERSTANDABLE.
🫃🧠 GastricSystem.com
TRACK THE SIGNAL.
UNDERSTAND THE PATTERN.
SEE THE WHOLE SYSTEM.™
Available now at the Dotcoms.io marketplace.
For digital-health companies, gastroenterology technology, hospitals, remote-monitoring platforms, medtech, life-sciences companies, founders, venture studios and strategic investors.
GastricSystem.com is available for acquisition.
We're also open to building the opportunity with the right partner.
#GastricSystem #Gastroenterology #DigestiveHealth #GutHealth #DigitalHealth #HealthTech #MedTech #HealthcareAI #MedicalAI #ClinicalAI #RemotePatientMonitoring #DigitalBiomarkers #PatientMonitoring #GastroHealth #GIHealth #PrecisionMedicine #ClinicalIntelligence #HealthcareInnovation #ArtificialIntelligence #FutureOfHealthcare #StartupIdeas #VentureCapital #PremiumDomain #DomainForSale #DotcomsIO
🤖 Made with AI
Cali Girl retweeted
Alimetry Secures US$18M to Revolutionize Gastric Diagnostics 🚀
A huge thanks to our lead investor @gd1_vc, along with
@IcehouseVenture, @IPGroupplc, @movac_vc, @Olympus_Corp, @Hostplus, & @AmerGastroAssn
Ventures.
Read more via NBR: nbr.co.nz/tech/medtech-start…
Cali Girl retweeted
Proud of the entire @Alimetry_Ltd team in clearing FDA with this truly innovative GI product. Confident Gastric Alimetry will be game-changer for gastric disorders. The innovation runs deep and Alimetry are just getting started!
Alimetry are thrilled to announce FDA clearance for our flagship product Gastric Alimetry💥A breakthrough solution in the diagnosis of chronic gastric symptoms. Read more at alimetry.com/news/ #MedTech #DigitalHealth #GITwitter #healthtech
Cali Girl retweeted
🚨 SCIENTISTS FOUND A WAY TO MAKE CANCER SELF-DESTRUCT
Scientists have created a fusion of two proteins that can secretly trigger cancer cells to destroy themselves from the inside. Instead of attacking the cancer directly, the new method activates the cell’s own hidden “death switch.”
Early studies showed powerful results in certain cancers, while many healthy cells were left mostly unharmed. Researchers believe this discovery could lead to safer and smarter cancer treatments in the future.
The strangest part?
The instructions for destroying cancer may have been inside our cells all along.
Source
Stanford Medicine. Rewiring cancer cells to self-destruct. Stanford Medicine News Center
ALT 🚨 SCIENTISTS FOUND A WAY TO MAKE CANCER SELF-DESTRUCT Scientists have created a fusion of two proteins that can secretly trigger cancer cells to destroy themselves from the inside. Instead of attacking the cancer directly, the new method activates the cell’s own hidden “death switch.” Early studies showed powerful results in certain cancers, while many healthy cells were left mostly unharmed. Researchers believe this discovery could lead to safer and smarter cancer treatments in the future. The strangest part? The instructions for destroying cancer may have been inside our cells all along. Source Stanford Medicine. Rewiring cancer cells to self-destruct. Stanford Medicine News Center
Cali Girl retweeted
🚨 JEFF BEZOS’ LAB-GROWN SALMON IS NOW ON AMERICAN DINNER PLATES — AND MOST PEOPLE HAVE NO IDEA
Lab grown salmon is now being served in America... and there’s a billionaire name lurking behind the story:
Jeff Bezos.
Wildtype grows salmon from fish cells inside stainless steel tanks.
The fish never swims in the ocean.
Never lives like a fish.
Yet it can end up on your plate looking like the salmon people have eaten their entire lives.
And Wildtype has received backing from Bezos Expeditions.
Now diners are being told to watch menus for terms like “cell cultivated” and disclosures explaining exactly what they’re ordering.
Supporters call it sustainable and cruelty-free.
Critics see something much bigger unfolding: billionaire backed biotech companies developing alternatives to food that once came directly from fishermen and farmers.
First salmon. Then what?
Why are billionaires pouring money into replacing the food we’ve eaten for generations... and how much of your dinner will eventually come from a lab?
Cali Girl retweeted
Red light therapy improved every single measure of fatty liver disease + reduced waist circumference.
The study group (which used red light with a diet) showed improvements over control (diet alone) across the board.
◈ Reduced BMI
◈ Reduced waist circumference
◈ Lower markers of liver damage (ALT, AST, ALP)
Waist circumference in particular was impressive - a ~15 cm drop for those on red light compared to a ~6 cm drop on the diet alone.
It's been found that genes involved in creating fat (SREBP1C, FAS, SCD1) are DECREASED with red light, while it simultaneously stimulates mitochondrial metabolism.
Cali Girl retweeted
Introducing Pickle, a personal AI you raise. It gets things done for you and makes friends of its own.
Meet yours: pickle.com
Cali Girl retweeted
OpenAI Dots is insane for building a 24/7 AI company...
I mapped the whole OpenAI Dots architecture into one paper: agents, models, tools, memory, delegation, guardrails and the revenue layer.
Here are the 10 steps:
step 1 → stop treating Dots like a chatbot. each Dot runs in a persistent cloud environment with its own browser, terminal, files, memory and scheduled execution. close the laptop and the workflow keeps moving
step 2 → hire by responsibility. give every Dot one clear domain, dedicated sources, a working style, an approval boundary and a trigger. a "general helper" has no role, only undefined context
step 3 → make one Dot the orchestrator. you give it the objective, it decomposes the work, delegates to specialized agents, checks their outputs and merges everything into one deliverable
step 4 → stop being the courier between agents. with isolated delegation, each worker gets only the context and tools it needs, executes in its own environment, then returns a structured result to the orchestrator
step 5 → connect the real business stack: cloud browser sessions, Slack, Microsoft Teams, Google Workspace, internal dashboards and APIs. a Dot without tools is still just a conversational layer
step 6 → put the company on a clock. recurring routines and event triggers turn one-off tasks into persistent operations. research, monitoring, reporting and pipeline checks can run while nobody is online
step 7 → automate the reversible, gate the irreversible. let agents read, research, analyze and draft autonomously, but require human approval before messages send, money moves, records change or production code ships
step 8 → route intelligence by cost. keep the strongest model on orchestration, conflict resolution and final audits, and let cheaper high-context models handle background research, classification and repetitive execution
step 9 → give the company shared memory. project specs, approved claims, pricing, decisions and requirements live in one persistent workspace, so every agent works from the same source of truth instead of rebuilding context from old chats
step 10 → connect the loop to revenue. research finds the signal, outreach creates the opportunity, execution moves the work forward, analytics measures the result and monitoring discovers the next action
AI stops being something you open when you need an answer. It becomes an operating layer that keeps economically useful work moving after you log off.
Copy the complete OpenAI Dots architecture blueprint, then read the full roadmap below ↓
Cali Girl retweeted
Zinc deficiency caused cancer in 67% - high zinc diet in 0% of animals in this fascinating article.
Sufficient dietary zinc made them highly resistant to carcinogens.
Zinc deficiency led to increases in literally 100+ genes involved in the immune response.
To think 2 oysters could prevent this...
Cali Girl retweeted
“Sir, tavus just built an AI that can pass the turing test on a video call by seeing, hearing and reacting like a real human in real time”
it’s over for us.
Introducing Griffin, the first model to pass the video Turing test.
48% of people who talked to it live thought it was a real human. Previous systems have had a pass rate <3%. It is #1 on NVIDIA's benchmark for full-duplex AI video.
It’s the first Human Interaction Model (HIM).
Readers added context they thought people might want to know
The 48% figure and "video Turing test" claim are from Tavus's own study of 54 one-minute calls, not independently verified or using a standard protocol. Griffin-Lite leads NVIDIA's VideoFDB benchmark on their public leaderboard.
cellcog.ai/blog/tavus-gri…
research.nvidia.com/labs/amri/proj…
tech-ish.com/2026/10/02/tav…
Cali Girl retweeted
The Midjourney scanner is revolutionary. There’s a bullish case that exceeds the most optimistic takes.
I was at the unveiling and used the scanner myself. I personally want to experiment with a weekly whole body Midjourney scan to add to my 1.5 billion data points and let my AI and doctors start connecting the dots.
Most of the early commentary has focused on the wrong questions: “is it as good as MRI?” and “what about false positives?” These are legitimate concerns, but they miss the bigger shift.
The more important question is: what does fast, low cost, safe whole body imaging unlock?
Let’s start with measurement.
A speedometer tells you how fast you are going. A fuel/battery gauge tells you when to stop. A thermostat tells you what to wear. The stock price tells you how much money you’ve made or lost. We measure what we care about.
Except, oddly, for our bodies, which are among the least measured things in our lives. Most people have more data on their favorite sports team, bank account, and social media performance than their body. The future will think we were crazy for this.
The first law of medicine is to do no harm. Our current system has harm baked into it.
+ an undiagnosed condition progressing silently is harm
+ a doctor who can’t easily get a patient screened preventively is harm
+ having no baseline to compare against when something shows up is harm
Our preventive net is narrow and inconsistent. Late stage diagnoses that could have been caught earlier remain common. Midjourney’s technology won’t eliminate that overnight, but it points toward a future where routine wholebody baselines become normal rather than exceptional.
Midjourney can help flip harm-by-default into a new expectation for our health infrastructure: almost no one will ever again be blindsided by a late-stage, life-threatening diagnosis that could have been caught earlier reasonably and cost-effectively.
Some examples of what earlier structural visibility enables:
+ breast cancer caught while localized has a ~99% five year survival rate. Once it has spread distantly, that drops to around 32%.
+ an abdominal aortic aneurysm kills more than 8 in 10 people when it ruptures. A single ultrasound finds the aorta in 99 percent of people, and screening cuts aneurysm deaths by a third to a half.
Midjourney’s technology will not do it all on its own. Its full angle, water immersion approach works around bone rather than seeing through it, and routes bowel gas to image the full abdominal cross section. Yet two real limits remain: air filled lungs stay a blind spot even here, and the brain is out of reach behind the skull, beyond the torso and legs this scanner covers.
That is fine, and they may improve these areas over time. Midjourney doesn’t need to do it all in order for it to be one of the biggest things to hit medicine in a long time.
Let’s look at where specifically Midjourney may be useful to each of us. We’ll start with where we get data today:
1) Blood draws tell us what is happening chemically.
2) Wearables tell us how the body is functioning.
3) Imaging tells us what is happening structurally.
The third layer, soft tissue, is the one we have never been able to access easily. MRI is great, but it is expensive, intimidating, and slow.
Midjourney's technology excels with soft tissue. Here are three places it could be game changing. There are many more.
1. Metabolic health - fatty liver is one of the earliest structural signs of metabolic dysfunction. It’s strongly linked to insulin resistance, type 2 diabetes, and cardiovascular risk. Being able to track visceral fat, muscle fat infiltration, and liver fat over time could give a much clearer picture than blood markers alone. Over 88% of Americans are metabolically unhealthy.
2. Endocrine tissue - the same metabolic patterns often cluster with thyroid issues, PCOS, and hypogonadism. Ultrasound can directly image the thyroid and ovarian structures. Fat tissue itself is an endocrine organ, so tracking it structurally adds another useful data layer.
3. Soft tissue + multiomics - new proteomic aging clocks can already predict risk for many chronic diseases from blood proteins. These molecular models could become significantly more powerful when combined with actual structural imaging data. The two are complementary, not competitive.
The real advantage: baseline + longitudinal tracking
The biggest unlock isn’t a single scan. It’s having a baseline followed by regular follow-ups. A one off scan in a moment of concern turns every finding into a potential crisis. Without context, you have no idea whether something is new, stable, or changing. With baseline + repeated measurement, the question changes from “what is this?” to “is this changing?” Most incidental findings stay stable. The dangerous ones tend to grow or evolve. Trajectory is often more informative than any single image or timepoint.This is why false positives become more manageable with frequent, low-friction imaging.
Midjourney has a difficult road ahead. Building robust, clinically validated medical hardware and software is extremely hard. Regulatory, technical, and adoption challenges shouldn’t be understated. Also, David is doing this for the right reasons and he’s well positioned financially to push through the difficulty.
On the horizon
We are moving quickly into a future where we will have continuous biological measurement. It will be all around us, a lot of it invisible and autonomous. Measurement will be in our gyms, beds, homes, clothing, offices, cars, glasses, and wearables. It will also be inside of us, in tissue and circulating in our blood vessels. This moves us from managing crises to preventing them. But this future will not just show up. We need bold builders like David and his team, willing to do the hard work.
