Lin Qiu retweeted
Excited to share that the project we’ve been working on over the past year has been officially published by @ScienceMagazine !
Huge shoutout to @KexinHuang5 and the Biomni team!
Today, we're excited to share that Biomni is published in @ScienceMagazine.
Biomedical research is still fragmented, manual, and difficult to scale. In this work, we introduce Biomni - the first general-purpose biomedical AI agent with an integrated biology environment that can reason, plan, and execute end-to-end scientific workflows.
We show that, with the right environment and harness, AI can automate large-scale omics analyses, orchestrate laboratory robotics, optimize molecular properties, and even train new AI models for biology.
We also introduce a reinforcement learning recipe for continually improving biomedical AI agents, enabling open-source models to achieve frontier-level performance.
It's surreal to look back. We started the Biomni project in early 2024, when agentic AI was still nascent. It is exciting to see tens of thousands of biologists collaborating with agents every day to accelerate science.
Try Biomni: biomni.phylo.bio
Read more: science.org/doi/10.1126/scie…
This work is not possible without this truly inter-disciplinary team: @serena2z @hcwww_ @YuanhaoQ Minta Lu, Ryan Li, @yusufroohani Lin Qiu @shiyi_c98 Gavin Junze Di @rickwierenga @kavi_deniz Sherry @TianweiShe Shruti Jennefer Xin Zhou @MWheelerMD Jon Bernstein @MengdiWang10 @PengHeAtlas @zhou_jingtian @SnyderShot @lecong Aviv Regev @jure
@StanfordAILab @genentech @phylo_bio @arcinstitute @UW @berkeley_ai @RetroBio_ @tamarindbio @Princeton @UCSF
Lin Qiu retweeted
🙌Biomni-R0-32B, the first RL agent model trained end-to-end for biology research, is now open-weight on @huggingface!
To benchmark progress, we’re also releasing Biomni-Eval1 — 443 data points across 10 biomedical research tasks!
🔗 Data: huggingface.co/datasets/biom…
🔗 Model: huggingface.co/biomni/Biomni…
Lin Qiu retweeted
Biomni-R0-32B-Preview is now open-weight on Hugging Face!
Biomni-R0-32B is biomedical AI model trained by the Biomni team. It beats GPT-5 and Claude Sonnet 4.
To ground progress, we’re also releasing Biomni-Eval1 — 443 data points across 10 tasks for benchmarking agent on real-world biomedical research!
Model: huggingface.co/biomni/Biomni…
Eval: huggingface.co/datasets/biom…
Lin Qiu retweeted
We’ve upgraded ScholarQA, our agent that helps researchers conduct literature reviews efficiently by providing detailed answers. Now, when ScholarQA cites a source, it won’t just tell you which paper it came from–you’ll see the exact quote, highlighted in the original PDF. 🧵
Lin Qiu retweeted
🧬 scRNA-seq annotation is fundamental, but it can take weeks!
⬇️ Biomni is an AI agent that gets it done in minutes by writing scanpy/umap code, searching literature/databases, and applying biological reasoning.
Try it free on your scRNA dataset at biomni.stanford.edu ⚡
Lin Qiu retweeted
Announcing Biomni — the first general-purpose biomedical AI agent. Biomni is a free web platform where biomedical scientists can immediately delegate their tasks to Biomni, starting today!
Biomni automates literature reviews, hypothesis generation, protocol design, bioinformatics analysis, clinical reasoning, and much more — scaling biomedical expertise for 100× the number of discoveries.
Key results:
➡️ Designed a cloning experiment with real-world wet-lab validation; on par with 5+ year expert in a blind test
➡️ Ran 458-file wearable bioinformatics analysis in 35 minutes vs. 3 weeks (800x faster) for human expert
➡️ Uncovered novel hypothesis: new TFs regulating skeletal lineages on a large scRNA+scATAC data
➡️ Human-level performance on LAB-bench DbQA and SeqQA, with SOTA at Humanity’s Last Exam and across 8 new biomedical tasks—ranging from GWAS and rare disease diagnosis to microbiology and drug repurposingPowered by:
➡️ Biomni-E1 – the first unified environment designed for a biomedical agent—encompassing 150 tools, 59 databases, 106 software—systematically curated from 2,500+ bioRxiv papers
➡️ Biomni-A1 – a generalist agent with retrieval, planning, and code as action
Biomni is an open-source initiative: we invite the community to build on it and advance biomedical research at scale.
- Try it now: biomni.stanford.edu
- Paper: biomni.stanford.edu/paper.pd…
- Code: github.com/snap-stanford/bio…
- Join the community: tinyurl.com/biomni-slackWith
Amazing team and collaborators @StanfordAILab @StanfordMed @StanfordCancer @genentech @arcinstitute @UCSF @UW @PrincetonAInews
@KexinHuang5 @serena2z @hcwww_ @YuanhaoQ @mintaylu @yusufroohani @RyanLi0802 @LinQiu0128 Gavin Junze Di Shruti Jennefer Xin Zhou @MWheelerMD Jon Bernstein @MengdiWang10 @PengHeAtlas @SnyderShot @lecong Aviv Regev
So excited to be part of this amazing project! 🎉 Biomni is seriously changing the game for biomedical research.
📢 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: biomni.stanford.edu
📄 Paper: biomni.stanford.edu/paper.pd…
💻 Code: github.com/snap-stanford/bio… (will be fully open-sourced very soon!)
💬Join the community: tinyurl.com/biomni-slack
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
Lin Qiu retweeted
📢 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: biomni.stanford.edu
📄 Paper: biomni.stanford.edu/paper.pd…
💻 Code: github.com/snap-stanford/bio… (will be fully open-sourced very soon!)
💬Join the community: tinyurl.com/biomni-slack
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
Lin Qiu retweeted
Sketch2Code: Evaluating Vision-Language Models for Interactive Web Design Prototyping
@RyanLi0802 @Diyi_Yang
Paper: arxiv.org/abs/2410.16232
Project Page: salt-nlp.github.io/Sketch2Co…
Demo: sketch2code-demo.streamlit.a…