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The 40% of cancers we catch but never treat just got a solution.
Yesterday, Azra AI acquired Thynk Health, creating something we desperately need: a bridge between finding cancer and actually treating it.
Here’s the brutal reality:
Radiologists detect incidental findings in millions of scans annually. But up to 40% of these findings, including potential cancers, never receive follow up care. Patients fall through the cracks between detection and treatment.
Why? Because our systems don’t talk to each other.
The radiologist sees it.
The report gets filed.
The primary care doctor might miss it.
The patient never knows.
Months pass.
Opportunities vanish.
🎯 What makes this acquisition different:
Azra AI specializes in enterprise platforms for managing incidental findings across radiology and pathology. Thynk Health focuses specifically on lung cancer screening workflows. Together, they’re building an AI powered safety net that automatically flags findings, coordinates care teams, and ensures patients get from scan to treatment.
Think about it: We have AI that can detect Stage 1A lung nodules with incredible accuracy. Another recent study showed AI catching 50% of missed early stage lung cancers on routine chest X rays.
But detection without action is just expensive screening.
This isn’t about replacing doctors. It’s about closing the loop. When a radiologist identifies a concerning finding, the system automatically triggers care coordination, schedules follow ups, and tracks outcomes.
For health systems drowning in imaging volume, this could transform cancer survival rates. For FQHCs managing complex populations, it means fewer patients lost to follow up. For imaging centers, it’s a competitive differentiator that improves outcomes.
The technology exists. The AI works. Now we’re finally connecting the dots between seeing cancer and treating it.
That’s the kind of acquisition that actually saves lives.
♻️ Repost if closing the cancer care coordination gap matters to your patients
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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.
