This event aims to connect leaders from various sectors with our faculty, students, and staff to discuss advancements in AI, data science, and multimodal data integration in precision healthcare.
Date: January 16th, 2025
Time: 9:00 am – 2:00 pm
Location:
Frances C. Arrillaga Alumni Center
326 Galvez Street
Stanford, CA
Machine learning operations (MLOps), a discipline concerned with the production, monitoring and maintenance of artificial intelligence (AI) and machine learning (ML) models at scale, applied in healthcare can facilitate the transition of AI/ML-enabled healthcare tools from research to sustainable deployment.1,3 Adherence to MLOps best practices can address persistent challenges with AI/ML tools deployed into clinical workflows where models often struggle with generalisability, integration and robustness….
Read it here: https://pmc.ncbi.nlm.nih.gov/articles/PMC11535661/
An award of up to $8.9 million from The Advanced Research Projects Agency for Health (ARPA-H) to the Stanford Department of Biomedical Data Science (DBDS) will fund Stanford researchers in the development of AI-augmented support tools for cancer tumor boards. The effort will consist of multi-disciplinary teams of clinicians collaborating to review data on cancer patients to determine the best course of action for each individual.
DBDS Awarded $8.9 Million From ARPA-H to Support AI Tumor Board Research