Hoifung Poon

Nov 18, 2024 | microsoft.com | Hoifung Poon |Brenda Potts

In cancer diagnosis or advanced treatments like immunotherapy, every detail in a medical image counts. Radiologists and pathologists rely on these images to track tumors, understand their boundaries, and analyze how they interact with surrounding cells. This work demands pinpoint accuracy across several tasks—identifying whether a tumor is present, locating it precisely, and mapping its contours on complex CT scans or pathology slides.

May 22, 2024 | microsoft.com | Hoifung Poon |Naoto Usuyama |Brenda Potts

The confluence of digital transformation in biomedicine and the current generative AI revolution creates an unprecedented opportunity for drastically accelerating progress in precision health. Digital pathology is emblematic of this exciting frontier. In cancer care, whole-slide imaging has become routinely available, which transforms a microscopy slide of tumor tissue into a high-resolution digital image.

Aug 10, 2023 | microsoft.com | Hoifung Poon |Brenda Potts

This content was given as a keynote at the Workshop of Applied Data Science for Healthcare and covered during a tutorial at the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, a premier forum for advancement, education, and adoption of the discipline of knowledge discovering and data mining. Recent and noteworthy advancements in generative AI and large language models (LLMs) are leading to profound transformations in various domains.