Good morning, readers —
Here’s what we have this week:
Anthropic’s healthcare & life sciences strategy map
Vibe coding doctor
Cardiologists are better with AI
17 new tools/partnerships, 3 funding updates, new AI jobs & link-worthy content
Read time: 5 minutes
Our Picks ✨
Highlights if you’ve only got 2 minutes…
1/
Anthropic’s healthcare & life sciences strategy map
CB Insights recently shared a strategy map outlining Anthropic’s growing web of acquisitions, investments, and partnerships across industries. This comes on the heels of Anthropic’s massive $30B Series G round at a reported $380B valuation and continues to gain traction with enterprise customers.
In healthcare and life sciences, the moves are highlighted below. On the investment side, Anthropic has backed Phylo, an AI native biotech platform, and Heidi, a clinical AI workflow company. On the partnership front, it is embedding deeper into the research and data stack through collaborations with HealthEx for interoperability, Genmab in antibody therapeutics, 10x Genomics in single cell biology, and Benchling in biotech R&D infrastructure. Anthropic also just signed partnerships with institutions like the Allen Institute and HHMI.
Taken together, Anthropic is not just building models. It is wiring itself into the health and life sciences ecosystem. We’ll be watching closely as their strategy continues to evolve here. (tweet)(linkedin)

2/
Vibe coding doctor
A post went viral over the weekend about a cardiologist that just took 3rd place at Anthropic’s hackathon out of 13,000 applicants, and he built the project in seven days while working full time. Michał Nedoszytko, MD, coded postvisit.ai between cath lab shifts, in the cloud, and even on a flight from Brussels to San Francisco.
Postvisit.ai is an AI agentic care companion designed for what happens after the appointment. It helps patients understand their diagnosis, translates medical jargon, analyzes their full medical history using Opus 4.6’s massive context window, and even acts as a reverse AI scribe on the patient’s side.
The bigger story is less about the 3rd place finish but that a practicing physician was able to build a meaningful AI solution on his own. These new AI tools have lowered the technical barrier so domain expertise and clinical insight could guide the rest. The people who understand healthcare’s gaps most deeply are already inside the system and increasingly will have the power to build solutions themselves. More power to the people! (link)

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Cardiologists are better with AI
A new randomized controlled trial published in Nature Medicine offers one of the clearest signals yet that AI can meaningfully improve care at the point of decision. Nine general cardiologists were given 107 complex cardiac cases. Half the time they worked alone. Half the time they had support from a fine tuned large language model. Their decisions were then evaluated blindly by subspecialists.
AI assisted decisions were rated better or equal in 67% of cases. Clinically significant errors fell from 24% to 13%, and missing content dropped from 37% to 18%. The physicians themselves reported improved decision making 57% of the time and time savings in more than half of cases.
It’s also worth noting this was conducted in the fall of 2024. The models available today are already meaningfully better. For years, the conversation has been about whether AI is ready for clinical use but studies like this suggest we are. (link)

Tools & Partnerships 🔧
Latest on business, consumer, and clinical healthcare AI tools and partnerships…
TOOLS
Optum launches Value Connect for value-based care: Optum introduced Value Connect, an AI-powered tool designed to help providers manage performance and outcomes under value-based care contracts. (link)
Apple accelerates AI wearable push: Bloomberg reported Apple is developing camera-equipped AI wearables, including smart glasses and enhanced AirPods, designed to integrate with a revamped Siri experience. (link)
Gallup: 16% of U.S. adults use AI chatbots for medical advice: A new Gallup poll found 16% of Americans turn to AI chatbots for health guidance, though most still rely primarily on their own physicians. (link)
Study finds LLM-rewritten radiology reports improve patient understanding: Research showed AI-generated patient-friendly radiology summaries significantly improve readability while maintaining clinical accuracy, though open models showed higher error risk. (link)
Ambience expands Chart Awareness across records: Ambience enhanced its platform to analyze full longitudinal patient records, supporting deeper documentation and coding insights, with Houston Methodist rolling it out systemwide. (link)
DeepRare publishes rare disease AI research: A Nature study highlighted DeepRare’s AI system for detecting rare disease patterns from clinical and genetic data, showcasing a growing role for AI in complex diagnosis. (link)
Tempus launches AI-driven HRD-RNA cancer algorithm: Tempus unveiled HRD-RNA, an AI model that detects homologous recombination deficiency using RNA data to identify patients likely to respond to targeted therapies. (link)
Superpower AI launches personalized “AI Doctor”: Superpower unveiled an AI health assistant grounded in users’ blood work that retains long-term memory across conversations and cites peer-reviewed research when making suggestions. Future updates will integrate wearables, external medical records, and support for second opinions and prescriptions. (link)
Dr. Oz backs AI avatars for rural mental health: CMS Administrator Mehmet Oz said AI avatars could assist with early mental health intake and triage in underserved areas, alongside clinician oversight. (link)
Smarter Technologies debuts SmarterNotes: Smarter launched SmarterNotes, clinical documentation tools focused on improving coding accuracy and revenue cycle workflows. (link)
Medicomp adds MCP layer for AI validation: Medicomp Systems launched AI-enablement tools with a Model Context Protocol layer to structure and validate clinical data generated by AI systems. (link)
Ohio health system promotes AI literacy for physicians: An Ohio-based health system is rolling out AI education initiatives to help physicians better understand and safely adopt emerging tools. (link)
PARTNERSHIPS
NCCN + OpenEvidence: NCCN guidelines will be integrated into OpenEvidence’s clinical AI platform to expand evidence-based oncology support for clinicians. (link)
Mayo Clinic + Merck: Mayo Clinic and Merck partnered to advance AI-powered drug discovery and accelerate therapeutic development. (link)
San Juan Regional Medical Center + Wellsheet: San Juan Regional Medical Center deployed Wellsheet’s AI platform enterprise-wide to streamline documentation and chart review, with integration across major EHR systems. (link)
MUSC Health + OSF HealthCare + Kettering Health + MemorialCare + SpendRule: Four health systems deployed SpendRule’s AI contract intelligence platform to validate invoices against contract terms in real time and reduce manual supply chain oversight. (link)
Houston Methodist + Ambience Healthcare: Houston Methodist rolled out Ambience Healthcare’s AI documentation platform across the enterprise to support clinician workflows. (link)
Deal Desk 💰
Spotlight on latest capital raises, M&A, and investments…
FUNDING
Daffodil Health, an AI-powered platform modernizing US health plan administration and claims processing, rasied $16.3M in Series A funding. Flare Capital Partners led. (link)
Rainfall Health, an AI-driven compliance and reimbursement platform for hospitals and medical groups, raised $15M in Series A funding. Two Bear Capital led. (link)
GRANTS
Google Impact Challenge, AI for Health & Life Sciences: Up to $500K–$3M+ for projects accelerating breakthroughs in human health using AI (foundational models, agents, open datasets). (link)
Stay on top of the healthcare AI market and track our portfolio 📈

as of 2/22/26
Other Relevant News 🔍
News, podcasts, blogs, tweets, resources, etc…
AI Job Opportunities 💼
Explore our AI Job Board or contact us to feature roles in our newsletter…
Visuals of the Week 📸
Funny memes, cool pics, and interesting data from around the web…




That’s it for this week friends! Back to reading — I’ll see you next week.
Stay classy,
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