Foundation Models for Real-Time Cancer Diagnosis

Explore groundbreaking developments in AI-powered cancer diagnosis through this 49-minute conference talk from the Big Data Conference 2024. Dr. Kun-Hsing Yu from Harvard Medical School delves into how artificial intelligence is revolutionizing medical research and practice, particularly in cancer pathology. Learn about recent advances in microscopic image digitization, foundation models, and scalable computing infrastructure that enable real-time cancer diagnosis. Discover the latest multi-modal AI systems for cancer pathology evaluation and understand how integrative biomedical informatics methods connect cell morphology with molecular profiles. Gain insights into the critical challenges faced when developing robust medical AI systems and their potential impact on the future of cancer diagnosis.