Healthcare Startups funded by Y Combinator (YC) in the San Francisco Bay Area 2026

Alzheimer's testing today is bottlenecked around the onset of symptoms, when the damage is already done. Current treatments, including the FDA-approved drugs released in 2024, don't reverse the disease; they only slow it down. Earlier detection means earlier intervention. Eye movement changes linked to Alzheimer's surface sooner than any other biomarker, up to 15 years before symptoms appear. We deliver a 15-minute VR assessment delivered to patients in longevity clinics: • Tasks: patients perform visual tasks designed by neurologists to trigger a distinct oculomotor response in people with Alzheimer's or on its path • Hardware: our patent-pending attachment connects to any VR headset on the market and captures these eye movement patterns. • Analysis: the patterns are compared against our ML model to produce a risk analysis. Once classified, patients can access new interventions, such as the FDA-approved drugs. They're also referred to longevity practices, neurology practices or both, depending on their stage of decline. Testing for the earliest biomarkers allows the earliest possible intervention. In some cases, that slows the disease enough that patients outlive the onset of symptoms and never face memory loss in their lifetime.

Archangel Health builds the infrastructure to post-train and evaluate medical AI: RL environments inside real de-identified EHRs, physician-verified training data, and benchmarks that test clinical reasoning on hard cases. Frontier labs and medical AI companies use it today, and we're now moving toward post-training open-source models for health systems on their own data and their own physicians' judgment

Rhem is building the connected hardware and data platform for care at home.

Reinventing medicine from lab to drug discovery. NxtCure CRO- an AI-native, full-stack CRO built to take therapeutics from discovery to market faster. NxtCure Cancer- the all-in-one mobile platform guiding patients through the cancer journey. We’re building the operating system for the future of medicine.

Allia is the first full-stack, AI-native clinical group for mental health. We bring independent practices into one national clinical group that can deliver, measure, and improve care at scale .

We’re an AI-native biotech, working on replacing needles with pills. Many drugs, like insulin or Ozempic, are wonderful except you have to inject them. We discover new molecules that you can take as a pill instead. Because the pills operate on biology which has been shown to be effective in people, rather than merely in animal models of disease, we avoid what has historically been the single biggest risk in drug discovery.  This should dramatically increase our probability of success. There’s $200B of treatable diseases and validated human biology without a pill because discovery programs lack a tractable chemical starting point. This is a zero-shot inference problem, because these targets have no training data, so LLMs and other historical interpolative AI approaches are insufficient. Instead, we are building our own extrapolative frontier models that reason beyond their training data. Most critically, we have repeatedly validated our platform on both our own and partner programs. On 4 biologically- and structurally-diverse targets where we had zero training data, we successfully picked binders that were validated experimentally, with confirmation ranging from primary screen hits to crystallographic structures.

Radley is the first AI-native radiology practice. We're acquiring a radiology practice bringing Radley to $4.6M in annualized revenue and rebuilding it with agents from the ground up. Radiology is already in crisis: there aren't enough radiologists to interpret 1 in 6 medical scans. In 10 years, that gap is growing to 1 in 3 - 246M scans a year. From past experience, we know that point solutions won’t cut it. While there is demand (we have $2.2M in contracts to prove it), bottleneck isn't just software, it's outdated systems and slow, inefficient operations. That's why we own the full stack, clinical and operational, end to end. We met at Carbon Health as we scaled operations 31x and expanded to 100+ clinics. Now we're rebuilding radiology.

Omanta is a personalized research lab for patients who have exhausted standard options, want to prepare proactively for recurrence, or are living with an unresolved diagnosis. We direct the full operational infrastructure, personnel, expertise, and technology of a large research program toward understanding and addressing the challenges of individual patients across oncology, rare disease, and undiagnosed conditions. For clinicians, we act as a collaborative partner, providing a living roadmap for ongoing patient care built on a rigorous and evolving scientific evidence base. We fully operationalize patient-specific research programs, covering tissue logistics, diagnostic follow-up, data integration, multiomic analysis, therapeutic strategy development, and more. Omanta brings context and clarity to complex cases, helping clinicians see more of the scientific picture as they decide how best to care for their patients.

We build foundational AI models for chemistry. Almost nothing you buy is a single chemical. Products like datacenter coolant, GPU thermal paste, paint, and glue are formulations, which are mixtures of around ten ingredients each, and demand for them has grown quickly because of AI and EVs. Designing a new formulation is essentially a search problem, because there are more possible mixtures than anyone could ever test, and none of them can be predicted in advance. As a result, bringing a single formulation to market today takes three to five years of trial and error in a lab. Our models predict how a mixture will behave far faster than the standard methods used today, which lets us design new formulations in weeks rather than years, at a fraction of the cost. To prove this, we used them to invent three chemicals that never existed before, including a PFAS-free coolant for datacenters, and we have since synthesized and patented all three. We are already working with some of the largest manufacturers to design formulations for them, and we are building our own lab to generate the data that will train our next models.

Our platform develops personalized or population-level vaccines for any disease in weeks by changing only one input: the immune imprint. Instead of trying to predict which antigens might work, we read out immune cells already fighting the disease in the body and reverse-engineer antigens that activate them. We've already run our platform end-to-end and created a vaccine that cured cancer in mice.

Most data companies pay for their data. Ours pays for itself. Customers send us a stool sample. We sequence it, build a metabolic model of that gut, and simulate whether each probiotic strain has an open niche it can colonize. We formulate the best candidates, then re-sequence 90 days later to see what actually took hold and what changed. Each cycle gives us the baseline gut, the intervention, and the outcome. At scale, the endgame is models that predict chronic disease years before symptoms.

The Lumoscope is a multispectral camera that clips onto your phone and scans your skin at home with the same light used in clinics. You see what a mirror can't: a breakout days before it surfaces, and wrinkles changing over time. Our software then reads that history, connects flare-ups to causes you'd never suspect, and matches products to what your own data shows works.

RonanRX is a full-stack pharmaceutical company, starting with personalized peptides and GLP-1s. In our first 10 weeks, we went from having no pharmacy to being licensed in 33 states. Since launch, we’ve grown 50% week over week. We manufacture the medications ourselves, sell directly to patients, and eliminate the layers of middlemen that make prescription drugs more expensive. What makes this possible is AI. Traditional pharmaceutical companies are built to manufacture one drug for millions of people. RonanRX is purpose-built to personalize treatment for each patient: different biology, different response, different dose. Patients come directly to RonanRX or through doctors using our platform. Every patient completes our medical intake, meets with a licensed doctor through our telehealth platform, and receives a personalized prescription when appropriate. From there, we manufacture the medication ourselves and deliver it directly to the patient. Labs, wearables, medical history, treatment response, and other health data feed back into the platform so doctors can continuously refine treatment over time. Before AI, doing this for every patient at scale was impossible. We didn't invent the demand we are seeing. 80 Million people are on a GLP-1 and millions more are using Peptides. We're building a better way to manufacture, personalize, prescribe, and deliver them. Our founders have built and exited multiple companies, raised more than $100M, built a $50M U.S. medical manufacturing business, and spent years developing peptide therapeutics at companies including Eli Lilly and AbbVie. We’re just getting started with peptides and GLP-1s. Next comes hormone therapy and the rest of personalized medicine.

Avoca is the AI patient access platform built for radiology. It integrates with a network’s existing systems and operational knowledge to automate calls, online scheduling, faxes, e-referrals and patient communications, from referral through to results and follow-up. Unlike generic scheduling tools, Avoca understands the clinical, operational and resource constraints behind every radiology booking, helping providers capture more demand, reduce administrative work and fill more scan capacity.

​Gamgee began with Rosie, founder Paul Conyngham’s dog. After surgery, chemotherapy and immunotherapy failed, Rosie was given months to live. Paul used AI and genomic analysis to identify targets in her tumour, then worked with scientists at UNSW to produce what is believed to be the first fully computationally designed mRNA cancer vaccine delivered to a dog. Following treatment, several tumours shrank significantly and her quality of life improved Gamgee is building an end to end platform for personalised mRNA cancer vaccines for dogs. We sequence a dog’s tumour and healthy DNA, identify mutations unique to its cancer, and design a vaccine that teaches the immune system what to attack. We manage the entire process- from vet intake and tissue collection through genomic analysis, vaccine production, treatment and response monitoring ​We are now turning that one off effort into a repeatable clinical system. Gamgee is running clinical trials in Australia, working with vets, oncologists and specialised laboratories, and accepting cases globally. Our goal is to make personalised cancer treatment accessible to every dog that needs it- and use each case to improve the treatment for the next

Illume is a 24/7 AI personal health & longevity companion that connects your wearables, blood panels, and genomic data to text you personalized and actionable insights. We pull in your health data and fuse it into one secure model. You get daily text updates on what changed, what it means, and what to do next; conversational health Q&A like "What should I do to improve my bloodwork?"; cross-data trend detection that catches patterns individual platforms miss; and a full platform to dig deeper, explore your health data, and text your Illume agent anytime. We're 3 MIT grads & friends, with experience at Windsurf, MIT CSAIL, Eli Lilly, & the Broad Institute.

Cova is an AI-native home care agency, licensed in Michigan. We serve Medicaid, LTCI, and private-pay patients; we pay caregivers the highest base rate in the state; and we help unpaid family caregivers get paid through programs they didn't know they qualified for. Our entire operation runs on AI agents, which means less overhead and more value passed directly to the people doing the real work.

Prescience is the preeminent health benefits platform for the world's most ambitious companies. We save employers 20-50% on health insurance while offering best-in-industry health benefits: www.getprescience.com About us: Prescience is building a new healthcare system for America. We train AI systems to: create, operate, insure, and deliver healthcare for employer health plans. Prescience Time Machine – an AlphaGo-like system – steers patients towards “Move 37 health trajectories” that deliver dramatic cost savings for employers. Rishab Jain and Aditya Jain, M.D. are serial entrepreneurs and brothers from Harvard & Harvard Medical School with backgrounds in machine learning and medicine. We believe abundant intelligence will bring an opportunity to fundamentally rebuild the $4.5T healthcare industry around proactive (prescient) health and wellness.

Plena is the AI operating system for specialty medical practices. We automate the administrative workflows that keep clinics running — referrals, fax intake, scheduling, procedure compliance, and collections — end to end, across all the systems a practice already uses. Unlike point solutions that cover a slice of the problem, Plena becomes the operating layer across the entire practice, connecting the systems, teams, and workflows that keep it running. In 10 months we've grown 17x and crossed seven figures in committed ARR across six specialties and eight states, with 80% of growth through word of mouth.

Describe an experiment in plain English, and Infera turns it into a validated, instrument-ready run across the equipment your lab already uses. Infera handles the protocol logic, vendor-specific scripts, data, inventory, and institutional knowledge in one system. An AI-native compiler for the lab: one system from intent to execution.

Lattice Health monitors deployed medical imaging AI so hospitals can tell whether each model is still working, tracking agreement with the radiologist's read, drift, and performance across patient groups. It observes rather than controls and produces the evidence teams need for safety, governance and compliance.

Voquill is the modern AI-native operating system for medical labs. This software manages the entire workflow of the lab (accessioning, workflow, reporting, coding, compliance, and revenue) and contains modern agentic AI tools to help each step. For example, pathologists can write reports 20% faster through our voice AI coworker. Incumbent lab operating systems are old, don't scale with how modern labs work, and can’t integrate existing AI solutions. As a result, labs are either building their own or paying millions for band-aid solutions and consultants. We're building an agentic platform to manage every aspect of the lab and displace the billions spent on legacy management systems.

Panacea provides AI-native FDA regulatory services for Biotechs and Medical Device companies. We hire the most experienced FDA consultants in the industry (ex-FDA, decades of experience, hundreds of filings) and pair them with our AI platform to enable the fastest and lowest cost pathway to FDA approval. While other regulatory consultants bill hourly, our pricing model is simple: fixed, outcome-based pricing. Payment is only due when milestones are complete. We support all FDA regulatory pathways including IND, NDA, BLA, ODD, Pre-Subs, 510(k), De Novo, PMA, IDE, BDD, etc.

Klarify handles every job a therapist does other than the therapy itself, from clinical notes and treatment plans to insurance claims and finding new clients. Therapists hold the world together. They also run businesses, file insurance claims, write letters, fill forms, supervise new grads, and do hours of paperwork every night. Practice management software has existed for decades. It records what therapists do. It can't actually do any of it. Klara is the AI at the heart of Klarify. She handles notes, treatment plans, clinical letters, insurance claims, between-session resources, supervision prep, and finding new clients. Nearly 12,300 therapists use Klarify today. Our mission is to empower therapists, not replace them. So they can focus on the one thing only a human can do. Be present with their client.

We turn medical records into personalized videos walking patients through onboarding, adherence, and recovery. The engagement data we collect builds our AI-native patient engagement platform for pharma, hospitals, medical devices, and private clinics, so they can stop chasing the patient and spend more time caring for them.

Taiga automates medical billing for doctor's offices. A doctor uploads their visit data, our AI figures out the right billing codes, checks the claim for errors, and submits it to insurance, dealing with any denials. Faster billing, fewer rejected claims, less busywork. We're Nanda and Adam, friends since 3rd grade. Both of our parents are doctors with their own practices, and billing was always a source of stress and lost revenue for them. We want providers to treat patients while we handle the rest.

BioStack is building the data engine for healthcare and drug discovery AI. The bottleneck is not models. It is access to high-quality biological data. Clinical and experimental data is fragmented, unstructured, and locked inside hospitals, labs, and CROs, while generating new data is slow and expensive. BioStack fixes this with proprietary clinical and preclinical data pipelines that turn real biomedical workflows into ML-ready training environments. We structure longitudinal multimodal data across imaging, EHR, and experimental assays, then package it for post-training and reinforcement learning so models can learn how research and care actually happen. Instead of static datasets, BioStack gives AI labs workflow-aligned data and environments that improve reasoning, decision-making, and real-world performance in biology and medicine.

Clara is an AI primary care and longevity practice from the team that founded and grew Circle Medical to $100M in revenue. Our mission at Clara is to add one billion years of healthspan to humanity. We do this with an AI with deep clinical knowledge, coupled with the ability to sift through medical data to detect trends and patterns that could be missed. Unlike Claude or ChatGPT, Clara can see your medical data and then act. Chat with Clara as you would a doctor and Clara can help with you make sense of symptoms, get medication refills, order and understand labs, and achieve health goals. Medical recommendations are preliminary until one of our human medical providers in the loop reviews and approves them.

We know how to improve cancer outcomes by 8x-10x: you catch it early. MRI is the most robust and powerful cancer-detection tool in the world, yet systems cost millions to purchase, take months to install, and require high levels of technical skill to operate. We've redesigned MRI from the ground up with new physics, algorithms, and hardware, all to bring cancer screening to the entire world. Our mobile MRI is an imaging clinic on wheels. No equipment to buy, no infrastructure needed. For a flat per-scan fee, any medical site can offer MRI cancer screening. Starting with prostate cancer. Then everything else.

Harbor is building an AI-native contract research organization (CRO) for clinical trials. We started with an AI-native system of record for clinical trial data (electronic data capture system), grew the software business to seven trials and ~$187k in contracted software revenue over the next twelve months, then expanded into full-service trial execution and signed our first CRO contract worth $1.93M over three years. Clinical trials consume 45% of all new drug and device development spend. While some of that goes to software, sites, and patients, the largest line items are services: project management, monitoring, data management, site coordination, source verification, query resolution, record reconciliation, and analysis. Today, drug and device companies outsource clinical operations to legacy CROs and their massive teams, which is why the CRO market is $82B annually. Harbor delivers the regulated services companies buy from legacy CROs, but built around our AI-native system of record from day one. Our software already automates the core data workflows: study build, data capture, query generation, monitoring, signing, and database lock. Because we own the system of record, we can expand into the surrounding service workflows: site contracting and billing, subject engagement and retention, statistics, reporting, and more. We built Harbor because we lived through the problem. Albert spent four years in clinical trials and regulatory strategy at a medical device startup, taking an unproven wearable from first-in-human trials to FDA authorization. Nate brings the technical depth, having built scalable software at Google and Ramp and served as employee #1 at a previous YC startup.

Eos helps clinics turn their data into actionable insights to identify more eligible patients and early care interventions. We harmonize historical data across all systems to create standardized patient data distributions, acting like a translation layer between different applications. Then we build a centralized index over it: a compressed representation that lets petabytes of raw data stay where it is while allowing us to search and reason across it as one system. Instead of treating the visit or document as an isolated instance, we can look at it as a continuous story. We can predict how a case will resolve, trigger the required approvals and actions, and do so while reducing staff workload and recovering hospital revenue.

Docura Health reduces settlement time in workers’ compensation cases by automating medical record review, chronologies, and report drafting with AI. We transform thousands of pages of records into structured, compliant summaries, helping evaluators, claim adjusters, insurers, and legal teams resolve cases faster.

Beacon Health (YC W26) is building AI employees that double revenue for primary care practices while also reducing the total cost of care. Primary care is the primary source of care for over 200M Americans, but physicians don’t have the bandwidth to manage their patient panels. Beacon Health builds AI employees that automate tedious background workflows - preventative screenings, prior authorizations, referrals, and risk adjustment. We handle these workflows from start to finish, directly in their EHR. We’re on a mission is to bring joy back to primary care.

Ditto Bio discovers drugs for autoimmune diseases by harnessing parasite biology. Viruses, ticks, and worms have experimented over millions of years to create proteins that control the human immune system. We use AI to identify these proteins and engineer them into next-generation autoimmune therapies. Our team is three PhD scientists from UCSF, UCSD, and UC Berkeley who have worked together for 3+ years in biotech. We have deep expertise in parasite biology, computational biology, and software for AI-based protein structure prediction

We produce patient-derived cancer datasets for licensing to pharmaceutical and AI companies. Our data comprises matched spatial transcriptomics, H&E and clinical labels. We operate our own laboratory, where samples are processed. Samples are sourced from leading biobank / hospital networks. As R&D workflows increasingly rely on frontier AI systems, we believe there is critical need for real world datapoints so that findings translate in the clinic.

Ruma Care automates all admin work for infusion clinics - starting with prior authorizations & copay assistance enrollment. Biologics are expensive medications that cost $80-$150K+ per year per patient, and often need to be administered in specific settings called infusion clinics. Medical providers buy these drugs up front to secure pricing deals and safer inventory - they are reimbursed for the cost of the medications through the patients’ insurance. Current medical workflows aren't built for infusion clinics. Inventory, storage, transport, and billing is still managed through paper and excel spreadsheets. And because they’re so expensive, these specialty medications are denied by insurers at a rate of 37% each year. When they are denied, when workflows fail, or patients are infused before paperwork is cleared, providers don’t get reimbursed for the medication and are left covering the costs. Ruma Care solves this so clinics get paid, patients get treated faster, and care teams spend less time fighting forms. We do this in three ways: 1. For each medication, diagnosis, and insurance combination, Ruma extracts the submission criteria required to get the drug approved by insurers. 2. We pull out the correct forms, then automate the form-filling for prior authorizations. 3. Lastly, we enroll patients in copay assistance programs, all in one workflow and platform. We turn a process that traditionally spans 70+ online portals, disparate paper forms, and manual phone calling into a single, streamlined platform. As we process prior authorizations, our models learn from denial patterns to understand exactly what insurers need to see to get a prior authorization approved.

Strand AI develops foundation models to generate missing bio-data about patients. With this imputed data, pharmaceutical companies can select better patients for their drug trials and shave months from their drug launch timelines. We’ve already trained a multimodal foundation model that integrates spatial biology modalities, beating SOTA at a fraction of the cost.

Opalite makes it easy for healthcare providers to communicate with non-English speaking patients. We’re built to work inside existing clinical workflows, so providers can communicate in real time without waiting for an interpreter or delaying care. Opalite is available instantly, 24/7, and replaces traditional interpretation services with software that’s more reliable and saves millions of dollars per year. We've built a voice AI system that is the safest, most compliant, and most accurate medical interpreter in the world.

Prana replaces the reactive, 15-minute annual physical with continuous, proactive care. We connect to your medical records and wearables to watch for "clinical drift," catching subtle declines in health that human doctors miss between visits. Most AI health apps are just chatbots. Prana is a full-stack medical provider. Our AI acts as a always-on physician that watches your data, explains your labs, and manages your prescriptions. Safety & Scale: We automate 90% of the "grunt work" (history taking, logistics, triage) so our human doctors can focus purely on high-leverage decisions. This allows us to offer 24/7 physician care for a fraction of the cost of traditional care. The Team: - Meer Patel (CEO): JHU BME. Deferred Brown Medical School to build Prana because code scales better than appointments. - Vishvam Rawal (CTO): Ex-Quant. Building high-frequency data infrastructure for health signals. - Sanjit Menon (CHO): Graduating MD Candidate. Deep clinical expertise to ensure our models practice good medicine. Traction: Live in beta with early users.

We program DNA sequences to be context-aware, unlocking new kinds of genetic therapies.

Anto is building a foundation model for microbial communities, making the gut microbiome computable for the first time. We predict drug toxicity and efficacy across diverse populations and fix drugs so they work for everyone — solving the hidden root cause of most drug failures. Founded by Arvid (Broad Institute of MIT and Harvard; Nature-published researcher who pioneered quality-aware, goal-directed sparsification) and David (Harvard Medical School Gastroenterology, J&J), second-time founders who published the breakthrough at leading machine learning AI conferences and Nature.

Kaigo Health provides an AI-powered outpatient care management platform that automates and scales remote care management for Medicare patients including post-discharge followups, ongoing check-ins, and monitoring. Using phone calls as an age-friendly interface, we aggregate patient responses, voice biomarkers, and remote patient monitoring data for powerful preventative and proactive healthcare.

We help oncologists and radiologists extract insights from CT scans to support tumor characterization and treatment. The hospitals we work with include Stanford Hospital, Cedars-Sinai, UCI Health, and Weill Cornell.

LunaBill is building AI Voice callers for healthcare billing teams. Insurance claim follow-up calls account for the 80% of the daily workload of a healthcare billing team, with each call averaging 30 minutes. Since our launch in July we are now at $764K in contracted ARR, of which $428K is live revenue and the rest will go live by January 2026. Our customers see a 10x increase in claims followed up per biller in the first week and we have converted 100% of pilots to paying customers. We have automated 50,000+ calls and signed partnerships with top healthcare systems in the country. The founders have known each other for over a year. Suhail is a 2x founder, with 3+ years of experience building in healthcare including operating a medical billing company with 200+ healthcare clients. David founded Skiesoft, Taiwan’s biggest healthcare AI scribe company, used by thousands of healthcare professionals. He also worked as a data scientist at UCSF, building models to audit medical-coding accuracy.

Improving how you look and feel leads to better outcomes in life (career, relationships, first impressions, opportunities, etc). Improving your health and appearance is an engineering problem - the body can be optimized like any other system

Algen is using CRISPR to uncover disease-driving RNA messages to find treatments for cancer, inflammation and diseases with high unmet needs. We are harnessing the power of CRISPR and machine learning to find first-in-class drugs that modulate RNA messages at single-cell resolution. Algen's founders are bioengineer from Jennifer Doudna Lab and biotech commercialization expert, teamed up with experienced pharmaceutical executives.

Sunflower is building an AI-native telemedicine clinic for addiction. There are over 18,750 patients on a waitlist for Therapy or Meds, representing $153M worth of TAM just waiting to be served. We started by launching Sunflower Sober, the first AI Sponsor for addiction which grew to 100 MAU in less than 6 months and currently driving about $1.5M in run-rate worth of subscription app revenue. Sunflower Sober is currently pacing to add over 800,000 new users a year which means we are growing literally faster than Alcoholics Anonymous. We have built one of the largest and most deeply loved brands within sobriety, and now we are building the clinical services underneath this brand to better fulfill on our mission & serve Medicaid who spends over $30B a year on SUD services. Sunflower is founded by Koby who previously led Growth at Rupa from $5M to $75M/year. Our team includes clinical leaders (MDs / LPCs) from the Mayo Clinic, Choose Your Horizon, & Charlie Health.

When enterprise agents fail in production, the conditions that caused the failure are critical: user state, data, tool calls, and context. Without a way to recreate these conditions, teams can't fix what broke. Playgent provides infrastructure to create high-fidelity sandbox environments for AI agents. Our environments come packaged as a single MCP url where tool calls are mocked, authentication is abstracted away, and test data can be initialized via natural language or JSON specifications. Teams can use Playgent to reproduce production failures in safe, scoped environments that accurately reconstruct state. Finally, export runs as OTel traces from Playgent's environment to plug directly into your observability tools or RL pipelines.

Blank Bio is an applied AI research lab focused on increasing the success rates of clinical trials. We do this by training RNA foundation models that learn the patterns that shape disease progression and patient response to treatment. We aim to help pharma make more informed decisions in clinical trials by capturing the biology that makes each patient’s tumour unique. We’re a technical team of AI scientists and engineers from companies including Recursion, Deep Genomics, DeepMind, and Amazon, and institutions including Memorial Sloan Kettering Cancer Centre, Stanford, and the Vector Institute.