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Congratulations to Sylvia on leading the Biomedical Data Science department for the past five years. With her strong leadership, direction, and guidance, DBDS is poised to become the leader in the AI/precision healthcare revolution. Sylvia has led the charge for DBDSand has reached milestones in research, discovery, increased grants, and growth with faculty and staff, proving itself to be one of the strongest departments in the School of Medicine. She is tireless, devoted and determined, working incessantly to propel our department to a position of eminence in the biomedical data science field. She is both a visionary and luminary; we could not ask for a more skilled pilot to chart the course for DBDS’ current and future success.
Olivier Gevaert and team have developed a biomedical model inspired by DALL-E, we use RNA expression profiles to generate synthetic digital pathology images across several cancer tissues.
You can try the model here: https://lnkd.in/egWGGDYJ. We also generated 1M images for download: https://lnkd.in/eSsM9ZqA
Amazing work by Francisco Carrillo Pérez in the lab, and only possible thanks to the Polaris compute resources and collaboration with Ravi Madduri at Argonne National Laboratory, U.S. Department of Energy (DOE).
Full text is available here: https://rdcu.be/dBZJK.
https://www.nature.com/articles/s41551-024-01193-8
Full text is available here: https://rdcu.be/dBZJK.
https://www.nature.com/articles/s41551-024-01193-8
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: https://med.stanford.edu/news/all-news/2024/03/stanford–medicine-live.html