Trevor Hastie & Rob Tibshirani (along with Sourav Chatterjee) have just published a new paper “Univariate-guided sparse regression” where they present a new statistical tool called “uniLasso” that improves how we build predictive models from data. This method is especially useful when trying to understand which factors are truly important in complex data sets—a task that arises in fields ranging from health research to economics. https://hdsr.mitpress.mit.edu/pub/3i97j340/release/3
The first Executive AI Summit on Healthcare and Medicine was held by Stanford’s Biomedical Data Science Department and Accenture on April 8, 2025. It brought together leaders from academia, biopharma, technology, consulting and healthcare delivery to discuss the great potential and necessary safety measures that define the rapidly changing AI healthcare landscape. Check out the eBooklet with highlights from the summit, including faculty and industry talks, panels and an interactive demo session.
Tanveer Syeda-Mahmood has been selected to receive the 2025 EMBS Professional Career Achievement Award “for outstanding technical achievement and leadership in multimodal decision support with lasting impact to academia/industry in multimodal healthcare AI.”
The award is given annually “for outstanding contributions advancing Biomedical Engineering and its professional practices as a practicing biomedical engineer working in industry, government, or other applied areas related to biomedical engineering.”
This year’s awards presentation will be held on Monday, July 14, 2025, during the opening ceremony of EMBC’25 in Copenhagen, Denmark. Find out more here: https://embc.embs.org/2025/.