News & Stories
2022

News
HKUST Scientists Discover Changes in Aging Stem Cells and How It Might Be Reversed
Aging, and the struggle against it, has long been a popular theme in classic and modern literature in human history. From the ill-fated Qin Shi Huang’s expedition to the sea searching for eternal life to Count Dracula’s popularity in the West, aging is a mystery that has captured the world's imagination for thousands of years and yet remains unsolved.

News
HKUST Launches AI-based Guidewire Recognition Technology to Enhance Patient Safety
Researchers at The Hong Kong University of Science and Technology (HKUST) have developed an AI-based guidewire recognition and counting technology to reduce the risk of guidewire retention in patient’s body after a clinical procedure known as insertion of central venous catheter (CVC).
The team, led by Prof. Gary CHAN Shueng-Han from HKUST’s Department of Computer Science and Engineering, has designed the AI software technology and clinically deployed it in Tseung Kwan O Hospital (TKOH) on nineteen cases since November 2021. The system, which accurately and promptly recognizes all the used guidewires removed from patient’s bodies without missing a single case, is proven to be highly reliable in enhancing patient safety.

News
Disproportionately Focusing Vaccination Efforts on Least Advantaged Populations Benefits Everyone
A new study uses a data-intelligent model to highlight the need to boost vaccination campaign budgets for disadvantaged, vulnerable populations to reach the maximum health benefit for everyone.
When vaccine access is prioritized for the most disadvantaged communities, it improves both social utility and equity — even when such populations have strong vaccine hesitancy. An international research team co-led by Prof. Pan HUI from the Hong Kong University of Science and Technology (HKUST) and HKUST(Guangzhou), Prof. James EVANS from the University of Chicago, and Prof. Yong LI from Tsinghua University, reveals the key to breaking the dilemma of multiple ethical values from a data-intelligent epidemic model which can predict COVID-19 curves in US metro areas accurately.