AI in HealthCare
By Prof. Terence WONG
Assistant Professor, Department of Chemical and Biological Engineering

By Prof. Hao CHEN
Assistant Professor, Department of Chemical and Biological Engineering and Department of Computer Science and Engineering

By Prof. Bonnie ZHU
Assistant Professor, Department of Chemical and Biological Engineering

Date: 20 Nov 2023
Time: 12:30 PM – 2:00 PM
Venue: HKUST Business School Central
1501-02, Hong Kong Club Building, 3A Chater Road
Central, Hong Kong
Enquires: Ms Tracy Au
(852) 3469 2471 / daoevents@ust.hk


Details
AI-enabled On-the-spot Cancer Imaging

By Prof. Terence WONG

Slide-free histological imaging is a cutting-edge imaging technology that revolutionizes the field of histopathology by revealing remaining cancer cells accurately and quickly. This approach involves capturing high-resolution digital images of cancer tissue samples without the need for traditional glass slides. Together with the power of artificial intelligence (AI), it is possible to provide gold-standard equivalent tissue images with automated and precise identification of cellular and tissue structures, aiding in disease diagnosis clinically. By eliminating the need for physical slides and introducing AI-powered analysis, slide-free histological imaging offers advantages such as improved efficiency, scalability, and the potential for enhanced accuracy and speed in pathology workflows, hence, improving patient care.

 

Trustworthy AI for Healthcare

By Prof. Hao CHEN

AI has revolutionized the healthcare industry by achieving or surpassing human performance in various tasks, thanks to the remarkable advancements in AI techniques and the unprecedented access to medical data. However, despite its impressive capabilities, AI still faces challenges in its trustworthiness, such as a lack of generalization and explainability, which hinder its widespread application in real-world scenarios. Therefore, it is crucial to enhance the credibility of AI to increase the trust and confidence of medical professionals and patients in adopting these techniques. In my talk, I will discuss the latest progress in developing trustworthy AI methods for disease diagnosis and prognosis.

 

Evolving Synthetic Viruses: Sparking the Gene Therapy Revolution with AI

By Prof. Bonnie ZHU

Over the past decade, gene therapy has become increasingly successful in clinics as a means of delivering genetic material (i.e., DNA) to the cells of a patient for therapeutic benefit. Prof. Zhu and her group aims to engineer novel ‘carriers’ for gene delivery using a combination of protein engineering approaches and machine learning. These ‘carriers’ will be designed to target specific cell types and perform desirable functions, offering a next-generation delivery system for therapeutic applications in many diseases. The extension of these new technologies will have broad utility and potential for developing future treatments.

Speaker Profile
Prof. Terence WONG
Assistant Professor, Department of Chemical and Biological Engineering

Prof. Terence Wong is an Assistant Professor of Chemical and Biological Engineering. With degrees from the University of Hong Kong, Washington University in St. Louis, and the California Institute of Technology, his expertise lies in integrating optical/photoacoustic imaging and deep-learning algorithms. His research develops smart devices for label-free imaging, high-speed histology, whole-organ imaging, and deep-tissue imaging for cancer targeting. Prof. Wong's numerous publications in top journals and U.S. patents establish him as a leading figure in the field.
Prof. Hao CHEN
Assistant Professor, Department of Chemical and Biological Engineering and Department of Computer Science and Engineering

Prof. Hao Chen is an Assistant Professor at the Department of Chemical and Biological Engineering and Department of Computer Science and Engineering. He leads the SMART Lab, focusing on trustworthy AI for healthcare. With a PhD from CUHK, his research spans medical image analysis, AI, machine learning, computer vision, and bioinformatics. He has 100+ peer-reviewed publications, holds several patents, and has received prestigious awards. Prof. Chen serves as an Associate Editor for journals and has held leadership roles in multiple conferences. His expertise in advancing AI for healthcare is evidenced by his team's 15+ medical grand challenge wins.
Prof. Bonnie ZHU
Assistant Professor, Department of Chemical and Biological Engineering

Prof. Bonnie Zhu is an Assistant Professor in the Department of Chemical and Biological Engineering. With a background in engineering science and a Ph.D. in Bioengineering from Stanford University, her interdisciplinary research spans materials science, gene therapy, neuroscience, and machine learning. Prof. Zhu's innovative approach combines machine learning and directed evolution to design advanced vector delivery systems for improved gene and cell-based therapeutics. At HKUST, she aims to leverage protein engineering and computational biology to develop safe and targeted molecular medicine, specifically in the field of neuro-immune modulation for treating brain disorders.
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