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HomeStanford - Department of Biomedical Data Science  > DBDS  > Community Announcements
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8th Stat4Onc Annual Symposium 5/16-17

We are excited to announce the opening registration website for the 8th Stat4Onc Annual Symposium, which will take place May 16-17, 2025, at Stanford University, Stanford, CA, USA.

The Stat4Onc Annual Symposium is an NCI sponsored conference that fosters interdisciplinary discussions between clinical and quantitative scientists on cancer clinical trials. Researchers from academia, industry, and regulatory agencies are invited to share their latest research, explore novel ideas, and collaborate on solutions for enhancing trial design, drug development, and patient care.
Find more details here: The Stat4Onc Annual Symposium

Five short courses are offered on May 15 and May 18. Please visit registration link for short course registration fees.

REGISTER NOW!

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DBDS Open House May 6

We’re excited to announce DBDS OPEN HOUSE 2025 – and we’d love for you to join us!

Date: May 6, 2025
Time: 4pm-6pm
Location: Edwards Building, 300 Pasteur Drive, 3rd floor, Stanford, CA 94305

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Roxana Daneshjou lands cover of Nature Biomedical Engineering

“Auditing the inference processes of medical-image classifiers by leveraging generative AI and the expertise of physicians” by Roxana Daneshjou (et all) was featured on the latest cover of Nature Biomedical Engineering.

Abtract: The inferences of most machine-learning models powering medical artificial intelligence are difficult to interpret. Here we report a general framework for model auditing that combines insights from medical experts with a highly expressive form of explainable artificial intelligence. Specifically, we leveraged the expertise of dermatologists for the clinical task of differentiating melanomas from melanoma ‘lookalikes’ on the basis of dermoscopic and clinical images of the skin, and the power of generative models to render ‘counterfactual’ images to understand the ‘reasoning’ processes of five medical-image classifiers.

Read it here:
Poster for the workshop
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Experimental Design: AI for Science

Only Weeks Away – Don’t Miss Out! Registration Filling Fast!

We are excited to invite you to the workshop “Experimental Design: AI for Science” happening at Stanford University on 3rd and 4th April 2025.  The workshop focuses on theory and methodology of AI based experimental design and its application to addressing scientific problems. We have an exciting lineup of speakers including David Baker, Adji Bousso Dieng, Ashia Wilson, Stefano Ermon, Jennifer Listgarten, Aaron Streets, Andreas Krause, Brian Trippe, Yisong Yue, Jure Lesokvec and Kyunghyun Cho.

Website: edai4science.github.io
Registration for the workshop.
Submit abstracts before Mar. 15.

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