Leaders of Stanford Medicine discuss artificial intelligence in health and medicine; its usefulness in research, education and patient care; and how to responsibly integrate the technology. Read it here: med.stanford.edu/news/all-news/…

Olivier Gevaert and team have developed a biomedical model inspired by DALL-E, using RNA expression profiles to generate synthetic digital pathology images across several cancer tissues. You can try the model here: lnkd.in/egWGGDYJ.  nature.com/articles/s4155…

Rob Tibshirani honored with COPSS Distinguished Achievement Award and Lectureship The award is a very high recognition of meritorious achievement and scholarship in statistical science. community.amstat.org/copss/awards/c…

The Stanford Center for Cancer Systems Biology invites you to its symposium on 4/22 & explore the systems biology approach to understanding cancer progression and treatment response with a theme of computational methods in single-cell and spatial analysis. stanford.us8.list-manage.com/track/click?u=…

Congratulations to Sohaib Hassan, Elana Simon and Selina Junyi Pi who were all awarded the NSF Graduate Research Fellowship Program (GRFP). The goal of the program is to broaden participation of the full spectrum of diverse talents in STEM, and is a five-year fellowship.

Please join us at the next monthly CCSB Seminar, 4/19, 11am-12pm. Speaker: Dr. Sean Bendall, Associate Professor in the Department of Pathology Title: Multi-generational decisions in single cell biology James H. Clark Center, Room S360

DBDS FEST 2024: DEI panel— Diversifying Data, Diversifying Viewpoints, moderated by Julia Salzman

Matthew Aguirre, Ph.D. student, presents his work at DBDSFEST, “Gene regulatory network structure informs the distribution of perturbation effects.”

Congratulations to Sohaib Hassan, Elana Simon and Selina Junyi Pi who were all awarded the NSF Graduate Research Fellowship Program. The five-year fellowship provides three years of financial support inclusive of an annual stipend NSF GRFP. research.gov/grfp/AwardeeLi…

A team led by senior DBDS PhD students Gautam Machiraju & Alex Derry announced a new paper accepted for publication in the 2024 International Conference on Machine Learning in Vienna, Austria. This work advances new modes of inference for Foundation Models. Congrats to the team!

AI Grand Rounds podcast: DBDS' Nigam Shah discusses the impact of computational tools in understanding complex biological systems & the pivotal role of AI in advancing health care delivery in improving efficiency and addressing systemic challenges. nejm.ai/ep18

A survey article on multimodal models for clinical biomedicine was published in the International Journal of Computer Vision for which DBDS adjunct faculty Dr. Tanveer Syeda-Mahmood is a co-author. Read it here: link.springer.com/article/10.100…

EchoNet, developed by the Zou Lab, is advanced image post-processing analysis software designed to aid diagnostic review, analysis, and reporting of echocardiographic DICOM images for cardiac function, and was just approved by the FDA. Congrats, team!

DBDS' Yixing Jiang, a Ph.D. student advised by Prof. Andrew Ng and Jonathan Chen, publishes Many-Shot In-Context Learning in Multimodal Foundation Models in arxiv.org Read it here: arxiv.org/abs/2405.09798

"Green Button" technology, which can quickly answer clinical questions—such as which drug is most effective for certain cancer patients—was developed by the Nigam Shah lab and led to raising $33M to scale AI-powered real-world evidence. fiercehealthcare.com/health-tech/at…

DBDS' Yusuf Roohani's research was focused on uncovering the ‘machinery’ underlying cell function and learn to precisely tune it using artificial intelligence. His work just made the cover of Nature Biotechnology. Congratulations, Yusuf! Yusuf Roohani nature.com/nbt/

DBDS Cluster Hire is live! We are delighted to inform you that the ad for the SOM AI Faculty Cluster Hire Search is now live; the application link for the search is here: facultypositions.stanford.edu/cw/en-us/job/4…

Tina Hernandez-Boussard in Tech Target: Advancing transparency, fairness in AI to boost health equity techtarget.com/healthtechanal…

Zou Team's ADMET-AI model in Bioinformatics: The emergence of large chemical and combinatorial chemical spaces coupled with high-throughput docking and generative AI have greatly expanded the chemical diversity of small molecules for drug discovery. academic.oup.com/bioinformatics…

Elana Simon, Kyle Swanson and James Zou in Nature Methods on Nature.com: Language models for biological research: a primer nature.com/articles/s4159…