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500 million cells. One AI. The future of cancer care just shifted.
The Cancer Research Institute just dropped something massive.
They’re partnering with 10x Genomics to analyze 20,000 cancer samples using AI, creating the most comprehensive map of immune responses to cancer we’ve ever seen.
Think about that scale: starting with 3,000 samples in the pilot, then expanding to capture data from 500 million individual cells. Each one telling us something about how the immune system fights, or fails to fight, cancer.
Here’s what makes this revolutionary:
They’re using single-cell and spatial data analysis, meaning they can see not just which immune cells are present, but exactly where they are in the tumor microenvironment. Location matters in cancer as much as it does in real estate.
The Chromium and Xenium platforms they’re using give us resolution we couldn’t dream of five years ago. We can track individual immune cells, see how they interact with cancer cells, and predict which patients will respond to immunotherapy before we even start treatment.
This isn’t just about better diagnostics. It’s about eliminating the guesswork in cancer treatment.
Right now, immunotherapy works miraculously for some patients and does nothing for others. We’ve been essentially playing roulette with $15,000-per-month treatments.
With this AI model, oncologists could know upfront: Will checkpoint inhibitors work? Should we try CAR-T instead? Or combine treatments?
The implications for community oncology are huge. Smaller cancer centers without major research infrastructure could access these AI insights, bringing precision medicine to every zip code, not just academic medical centers.
But here’s my question: As we generate 500 million data points per study, who owns this biological intelligence? The patients? The researchers? The AI companies?
We’re entering an era where your immune system’s playbook could be more valuable than your medical record.
♻️ Repost if precision oncology should reach every community cancer center
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Author:
Jonathan Govette is a seasoned healthcare and technology executive with more than two decades of experience building, scaling, and advising digital health companies. He is the Co-Founder and CEO of Oatmeal Health, an AI-driven Lung Cancer Screening and Diagnostics company focused on expanding access to early detection for underrepresented populations, particularly patients served by Federally Qualified Health Centers and value-based health plans.
With a background in engineering, product development, and strategic partnerships, Jonathan has founded and led multiple health technology ventures across clinical care delivery, regulated medical software, and AI-enabled diagnostics. His work sits at the intersection of medicine, technology, and health equity, with a consistent focus on translating complex clinical problems into scalable, real-world solutions.
Jonathan has spent much of his professional life dedicated to improving outcomes for marginalized and underserved communities. He has designed and implemented frameworks that align clinical quality, reimbursement, and technology to sustainably advance health equity at scale. This mission is deeply personal and informs his leadership philosophy and long-term vision for healthcare transformation.
In addition to his operating experience, Jonathan is an author and long-time writer in the healthcare domain, with over 20 years of published work covering digital health, medical innovation, and healthcare systems. He is a frequent mentor to early-stage founders and regularly advises startups on product strategy, partnerships, and go-to-market execution in regulated healthcare environments.
Before entering industry full-time, Jonathan nearly pursued a career in medicine with an early path toward cardiothoracic surgery, an experience that continues to shape his clinical perspective and respect for frontline care delivery.
CEO | Oatmeal Health | AI Lung Cancer Startup | Engineer | Writer | Almost Became a Doctor (Cardiac Thoracic Surgeon) | 3x Health Tech Founder | Startup Mentor | Follow to share what I’ve learned along the way.
