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Anthropic has established a biological wet lab in the Bay Area and plans to use its AI model Claude to direct experimental robots, with a broader focus on biology beyond drug discovery.
LangChain's guide explores how organizations like Madrigal Pharma, Abridge, and Vizient are scaling AI agents in healthcare and life sciences to accelerate research and reduce documentation burden, focusing on infrastructure for reliability and compliance.
RegDivergence-101 is a pilot benchmark for detecting cross-jurisdiction regulatory contradictions between FDA and EMA using LLMs, establishing baseline methods with varying performance in classifying regulatory relationships.
OpenAI launches Rosalind Workbench, a virtual environment that integrates AI models and scientific tools to help life science researchers streamline data analysis, explore biological questions, and accelerate workflows.
A tweet about the AASF 2026 life sciences panel discussion, noting that life sciences are shifting from observation to targeted manipulation of genes, proteins, and cellular states.
At WAIC 2026 in Shanghai, Huawei showcased AI-driven research tools across neuroscience, life sciences, and intelligent instrumentation, highlighting shorter R&D cycles with platforms like Brainμ, ScienceOne Omni, and Owl·AuraID.
The paper introduces EMBL AI Librarian, a knowledge layer that lets life-science AI agents query Europe PMC using natural language and receive direct evidence. It improves retrieval and downstream task performance across multiple benchmarks, with code released publicly.
A new benchmark, ClinReg, evaluates LLMs on real regulatory and clinical-trial tasks, finding that open-weight models now match closed-source models on accuracy at a fraction of the cost.
OpenAI shares a field report on using AI agents like Codex and Claude Code to assist in scientific computing projects, showing significant acceleration in software development and maintenance while shifting researchers' roles to verification and orchestration.
The White House's 'Science: A New Golden Age' report proposes shifting billions in research funding from universities to tech and AI companies, sparking mixed reactions from scientists.
Bristol Myers Squibb is deploying its second NVIDIA DGX SuperPOD based on DGX Vera Rubin NVL72 systems, creating the most powerful AI cluster in life sciences to accelerate drug discovery and make AI accessible to all scientists.
A Twitter user criticizes a life sciences hackathon announced by Anthropic's Claude, arguing that banning inquiry undermines the purpose.
Anthropic and Gladstone Institutes announce a global virtual hackathon called 'Built with Claude: Life Sciences' with a $100k prize pool, using Claude Science and Claude Code.
Anthropic launched Claude Science, a new flagship product for autonomous scientific research in computational biology and drug development, available to all paid Claude subscribers.
Modal announces its integration with Claude Science, providing elastic compute infrastructure for life sciences researchers, with up to $100K in committed resources.
Modal announces integration with Claude Science, providing elastic compute for life sciences researchers with up to $100K in committed resources.
Anthropic launches Claude Science, a desktop app for macOS and Linux that provides a unified research environment for life sciences, integrating AI, databases, HPC, and tools for genomics, proteomics, structural biology, and more.
NVIDIA launched the BioNeMo Agent Toolkit, integrating GPU-accelerated AI capabilities as callable skills for Anthropic's Claude Science AI workbench, enabling life sciences researchers to run accelerated workflows like protein structure prediction and drug discovery using natural language.
Anthropic launched Claude Science, an AI workbench that provides scientists with a unified environment for computational research, including connections to over 60 databases and prebuilt toolkits, without introducing a new AI model.
OpenAI introduces an updated GPT-Rosalind model purpose-built for life sciences research, with improved performance in medicinal chemistry, genomics, and drug-discovery workflows, and new benchmarks like LifeSciBench and MedChemBench.