AI-Augmented Pathology: Enhancing Real-Time Cancer Diagnosis and Discovery

Join Dr. Kun-Hsing Yu, from Harvard Medical School, as he discusses how artificial intelligence (AI) is transforming the landscape of cancer research and clinical diagnosis.

Recent advances in microscopic image digitization, multi-modal machine learning algorithms, and scalable computing infrastructure have paved the way for AI-enhanced pathology assessments. During this talk, Dr. Yu will:

• highlight breakthroughs in pathology foundation models and their effectiveness in analyzing high-resolution digital images.
• present examples of AI-empowered, real-time pathology evaluations during cancer surgery and demonstrate their adaptability to evolving diagnostic classifications.
• discuss studies that used AI to reveal links between cell morphology and molecular profiles.
• outline ongoing challenges in developing robust medical AI systems and identify research directions to address such challenges.

The CBIIT Data Science Seminar Series is dedicating its 2025 events to spotlighting the use of AI in cancer research and care. Brought to you by CBIIT and NCI’s Division of Treatment and Diagnosis AI working group, the upcoming webinars will explore a variety of questions, such as the following:

• How can we use AI for diagnosis, treatment, drug development, and omics research?
• What are the related laws and ethical considerations for AI?
• How can we empower an AI-ready cancer research community through workforce development, collaborations, and funding?

To view upcoming speakers or recordings of past presentations, visit the CBIIT Data Science Seminar Series webpage.