NVIDIA just launched the BioNeMo Agent Toolkit, packaging its decade-long life sciences libraries and models into tools AI agents can call directly. Instead of guessing biological rules, agents can now run virtual screening in minutes, handle genomic analysis, and design proteins. Anthropic and OpenAI are already integrating it, while over 50 biopharma and tech companies have begun adopting the stack.
Nobel laureate and AlphaFold pioneer John Jumper just announced he is leaving Google DeepMind after nearly nine years to join Anthropic. Jumper thanked CEO Demis Hassabis for trusting him to lead the protein-folding project fresh out of his PhD, noting he plans to take time to recharge before starting his new role.
Midjourney just unveiled its first hardware product, an underwater full-body scanner that builds a 3D body map in 60 seconds using 500,000 ultrasound sensors. The company plans to roll out the scanners inside a luxury San Francisco spa in 2027, betting it can make routine body scanning accessible outside traditional hospitals.
Chinese company Yueban just debuted Xiaoban, an autonomous toilet designed for elderly and mobility-impaired users. Borrowing lidar and ultrasonic navigation from robot vacuums, the device rolls directly to users via voice or remote commands, cleans itself, and autonomously empties waste into a drainage dock or regular toilet. It is expected to cost 28,999 yuan (around $4,300) in China.
OpenAI just rolled out a major health intelligence upgrade to ChatGPT powered by GPT-5.5 Instant, available to all free users. Guided by a global network of over 260 physicians, the model matches frontier Thinking models on tough medical benchmarks, while real-world factual errors in health queries dropped 71% over the last two months.
OpenAI just introduced LifeSciBench, a benchmark built by 173 doctorate-level scientists to test how well AI handles real biotech research. It features 750 tasks across seven workflows, pairing them with over a thousand research artifacts like charts and sequence files. While frontier models show promise in communicating findings, they still struggle with complex experimental design.
Revolution Medicines just showed that a drug targeting the slippery RAS protein nearly doubled survival time in advanced pancreatic cancer patients, jumping from 6.6 to 13.2 months. Now, researchers are deploying AI to screen millions of molecules against notorious, smooth-surfaced culprits like p53 and MYC that fuel roughly 70 percent of cancers. What used to take decades of chemistry trial-and-error might soon become a solved computation problem.
Anthropic just revealed research testing Claude against dedicated chemistry tools ChemDraw and MestReNova on NMR spectral analysis. Without domain-specific fine-tuning, Claude Opus 4.7 matched or beat both tools on hydrogen shift prediction with an average ±0.079 ppm error, while successfully performing inverse structure elucidation from raw 1D spectra. Why it matters: Frontier models are beginning to assist with complex analytical lab data, though benchmarks remain small.
OpenAI just updated GPT-Rosalind, its specialized model series for enterprise life sciences research, baking in GPT-5.5's agentic coding and tool-calling skills. The new model beats GPT-5.5 on wet lab troubleshooting, medicinal chemistry, and genomics while burning up to 31% fewer tokens, aiming to slash the time scientists spend connecting dry-lab data to wet-lab experiments.
Microsoft and Mayo Clinic just partnered to build a frontier AI model purpose-built for clinical reasoning and healthcare. Mayo will train the system on its de-identified patient data and retain ownership, while Microsoft provides the supercomputing power and plans to distribute it via Azure Foundry APIs.
Microsoft just rolled out seven in-house MAI models covering reasoning, coding, vision, and speech, all built from scratch on clean data without third-party distillation. The drop includes MAI-Thinking-1, a lightweight coding model for GitHub Copilot, and an enterprise tuning workflow called Frontier Tuning. Why it matters: Microsoft is aggressively engineering full-stack independence across its own silicon and software.
OpenAI just launched Rosalind Biodefense, granting vetted developers and select government partners access to GPT-Rosalind, its frontier reasoning model built for life sciences. The sponsored initiative aims to accelerate pandemic preparedness, threat detection, and medical countermeasures alongside collaborators like Lawrence Livermore National Laboratory.
Biohub just unveiled ESM, a protein "world model" featuring the ESMFold2 design engine, a 2.8B-sequence model called ESMC, and an atlas of 1.1 billion predicted structures. Instead of spending months physically screening candidate binders in a lab, researchers can now design and rank functional antibodies computationally in just a few days. Lab tests against five cancer and immune targets, confirmed via cryo-EM, prove the designs actually work.
Researchers at the University of Chicago just built a flexible AI skin patch that analyzes health metrics on the body in milliseconds, completely bypassing the cloud. Using printed organic electrochemical transistors, the device mapped lethal heart rhythms with 99.6% accuracy even when stretched past 1.5 times its original size. It brings wearable tech much closer to instantaneous, on-skin clinical intervention.
Google just launched Gemini for Science, a new suite of agentic research tools on Google Labs designed to supercharge the scientific method. The prototypes handle multi-agent hypothesis debates, parallel code generation for computational experiments, and literature synthesis via NotebookLM. Two accompanying research papers were published in Nature.
Anthropic just teamed up with the Gates Foundation on a $200 million, four-year partnership combining grant funding, Claude credits, and engineering support. The initiative targets global health challenges like polio and HPV vaccine screening, while deploying AI tutoring tools across the US, sub-Saharan Africa, and India.
Google just launched REPLIQA, a joint initiative by Google Quantum AI and Google.org to apply quantum tech and AI to life sciences. The effort commits $10M to five universities, including Harvard and MIT, to build quantum sensors and simulate molecular processes like drug-metabolizing enzymes. Google cautions this is foundational research aiming for long-term breakthroughs rather than overnight results.
Isomorphic Labs is in advanced talks to raise more than $2 billion in a new funding round led by Thrive Capital. The AI drug discovery startup, spun out of Alphabet's Google DeepMind, will also see Alphabet participate. The massive deal underscores that big-ticket investor appetite for AI pharmaceuticals remains sky-high.
Google just rebranded the Fitbit app into Google Health, baking in a Gemini-powered AI health coach and pairing it with a new $99 screenless tracker called Fitbit Air. The AI coach can tailor workout plans, interpret medical records, and log meals from photos, pulling data from multiple wearables into one hub. It starts rolling out to existing users on May 19.
Researchers at Baylor College of Medicine just discovered that the human brain continues advanced language processing even under general anesthesia. Using Neuropixels probes in the hippocampus, the team found neurons actively distinguishing parts of speech and predicting upcoming words in stories—mirroring the predictive coding behind LLMs. The findings challenge assumptions about consciousness and could advance brain-computer speech prosthetics.
