MHRC Research Seminar: Large AI Models for Transforming Biomedicine

Enjoy free admission, all are welcome.
* Seats are limited and will be arranged on a first-come-first-served basis.
* Please note that NO CPD points will be offered by the research seminar.

Topic:
Large AI Models for Transforming Biomedicine

Speaker:
Prof. Chen Hao
Assistant Professor
Department of Computer Science and Engineering
Department of Chemical and Biological Engineering
Director of Collaboration Center for Medical and Engineering Innovation
The Hong Kong University of Science and Technology

Abstract:
The rapid advancements in large AI models are poised to revolutionise healthcare, offering unprecedented opportunities to enhance diagnosis, treatment, and patient outcomes. From accelerating drug discovery and personalising medicine to improving operational efficiency and predictive analytics, these models are unlocking new frontiers in medical innovation. This talk explores the transformative potential of large AI models in healthcare, highlighting real-world applications, challenges, and ethical considerations. Join us to discover how cutting-edge AI technologies can reshape the future of healthcare, empowering providers and patients alike to achieve better, faster, and more equitable care.

Biography:
Prof. Chen Hao is an Assistant Professor at the Department of CSE&CBE, The Hong Kong University of Science and Technology. He leads the Smart Lab focusing on large and trustworthy AI for healthcare. He serves as Director of Collaboration Center for Medical and Engineering Innovation, HKUST. He received the Ph.D. degree from The Chinese University of Hong Kong (CUHK) in 2017. He has 100+ publications (Google Scholar Citations 39200, h-index 82) in Nature Biomedical Engineering, Nature Communications, IEEE-TMI, MIA, CVPR, ICCV, etc. He also has rich industrial research experience and holds a dozen of patents in AI and medical image analysis. He received several premium awards such as Asian Young Scientist Fellowship, MICCAI Young Scientist Impact Award, and several best paper awards. He serves as the Associate Editor of multiple journals including IEEE RBME, TMI, TNNLS, JBHI, etc. He also led the team winning 15 medical grand challenges.