New LLMs, Agents, and Graphs in Life Sciences

With Claude joining the lab, we survey healthcare LLMs, their real-world use, and how neurosymbolic AI can remedy their limitations

In recent weeks, Anthropic announced “Claude for Life Sciences” as an AI framework for assisting life science researchers. The release is one of several recent moves by general-purpose AI vendors to enter healthcare workflows.

Last year, OpenAI partnered with Formation Bio and Sanofi as well as signed agreements with Moderna, Eli Lilly; followed by a Thermo Fisher Scientific deal in 2025. At the same time xAI advertises Grok for Government with support for science and healthcare purposes, while DeepSeek gains adoption across Chinese hospitals.

Today we’ll look at LLMs entering biomedical workflows, examine what these systems can do in lab- and clinic-adjacent tasks, and how hybrid designs aim to mitigate common failure modes.

In this issue: Generative AI in Healthcare — LLMs Tailored for Life Sciences — General Models Adapted to Healthcare — Domain-Specific Biomedical LLMs — Fully Integrated Workflow Tools — Limitations & Neurosymbolic AI — Graph-Grounded LLMs — Agentic LLM Tools