📢 Introducing Biomni - the first general-purpose biomedical AI agent.
Biomni is built on the first unified environment for biomedical agent with 150 tools, 59 databases, and 106 software packages and a generalist agent design with retrieval, planning, and code as action.
This enables Biomni to perform a wide range of research tasks - from literature review, hypothesis generation, protocol design, data analysis, clinical reasoning, and much more - across subfields like genomics, microbiome, physiology, and beyond.
Some key results:
🔬 Designed a molecular cloning experiment validated in wet lab, matching the performance of a >5-year expert in a blinded test
📊 Completed a wearable bioinformatics analysis across 458 messy files in 35 min vs. 3 weeks by a human
🧠 Uncovered novel transcription factor hypotheses driving skeletal lineage regulation
We built a web platform where biomedical scientists can immediately delegate their tasks to the agent today, completely free!
🧪 Try it now: https://t.co/EptQKNe2ut
📄 Paper: https://t.co/Q2jKnwEdzp
💻 Code: https://t.co/DIC4bWxZdq (will be fully open-sourced very soon!)
💬Join the community: https://t.co/LCxHr1AvLv
Biomni is an open-source initiative: we invite the community to build on it and advance biomedical research at scale.
With amazing collaborators @StanfordAILab@StanfordMed@StanfordCancer@genentech@arcinstitute@UCSF@UW@PrincetonAInews@serena2z@hcwww_@YuanhaoQ@mintaylu@yusufroohani @RyanLi0802 @LinQiu0128 Gavin Junze Di Shruti Jennefer Xin Zhou @MWheelerMD Jon Bernstein @MengdiWang10@PengHeAtlas@SnyderShot@lecong Aviv Regev @jure
ChatGPT now can analyze, manipulate, and visualize molecules and chemical information via the RDKit library.
Useful for scientific work across health, biology, and chemistry.
@anshitasaini_ OCR and/or image analysis for docs with non-extractable texts. Basically, it'd be amazing if it could see the diagrams and graphs inside notes and not require us to attach screenshots while attaching docs.
Today on the blog we introduce Cell2Sentence-Scale, which looks deep into how to best represent cells and biological information as text, opening up exciting applications for language-driven single-cell analysis with large language models. Learn more →https://t.co/Rzy4FSFnQY
📢 Introducing Molecule-MCP🧪🔬
Connect PyMOL and ChimeraX directly to Claude through the Model Context Protocol for prompt-assisted molecule modeling.
#AIScience#ComputationalChemistry#ClaudeAI
try it out at: https://t.co/p6f6FU0zJ0
Zoogle! Our new tool from @arcadiascience for picking research organisms. Even if you’re not a scientist, you should care that we spend >$50B/yr on clinical trials based on organismal models (>90% failure rate). Read more about Zoogle here: https://t.co/TXJg7f9alI