AI improving healthcare and medical outcomes
Google DeepMind, Meta, and Isomorphic Labs are investing $300 million in Biohub’s ambitious effort to build AI-powered biological datasets and simulations. The broader $1.8 billion initiative aims to help researchers explore cells digitally, potentially speeding up discoveries for preventing and managing disease.
Healthleap has raised $38 million to advance AI tools that flag hospital patients who may need closer clinical attention. The funding could help accelerate deployment of systems that support care teams in identifying risks earlier and prioritizing patient needs.
Nolla Health is launching a Utah pilot that lets users scan their faces with an app so AI can assess acne severity and generate treatment prescriptions. With physician oversight built into the rollout, the program could make dermatology care faster and more accessible for people seeking common acne treatments.
OpenAI has launched MentalHealthBench, an expert-informed benchmark designed to evaluate how AI systems respond in realistic mental health conversations. The effort could help improve the safety, helpfulness, and reliability of AI tools in sensitive support scenarios.
Enveda has secured $311 million to push more AI-discovered, nature-derived drug candidates into clinical trials. The funding supports a promising approach that uses AI to search the natural world for new medicines, including treatments for skin conditions and maintaining weight loss after GLP-1 use.
César de la Fuente’s lab is using Codex and ChatGPT to accelerate the search for new antimicrobial molecules across living and extinct genomes. The work points to a promising AI-assisted path for discovering candidates that could help fight drug-resistant infections.
Apple’s revamped Health app will use Apple Intelligence to help people better understand their personal health data. New features like “health age” and a readiness score could turn complex wellness signals into clearer, more actionable insights for everyday users.
DeepMind’s AlphaGenome Atlas offers a predictive map of the molecular effects of 9 billion single-letter DNA changes across the human genome. This could help researchers better understand disease biology, prioritize variants for study, and speed progress toward more precise diagnostics and therapies.
Google DeepMind has unveiled AlphaGenome Atlas, an AI-powered predictive map of every possible single-letter DNA change in the human genome. The tool could help researchers better understand how genetic variants affect biology, speeding up discoveries that may lead to new treatments for disease.
OpenAI says healthcare organizations can now connect trusted healthcare data, including EHR information and other industry sources, to ChatGPT. The update could help clinicians more securely access patient context and medical research in one place, supporting faster, better-informed care workflows.
OpenAI says ChatGPT Health now integrates with Epic, giving clinicians read-only access to patient health records inside the AI workflow. The move could help doctors and care teams review relevant context faster while keeping the underlying medical record protected from edits.
Former a16z biotech leader Vijay Pande argues that AI is helping biology evolve from a discovery science into an engineering discipline. His new, smaller AI-native fund is focused on concentrated bets and open datasets that could make medical breakthroughs faster, more reproducible, and more widely shared.
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