Silver

The Use of Novel Antibodies Against LANCL1 as a Diagnostic and Therapeutic Target for the Management and Treatment of Cancer

• Prof. Irene Oi Lin NG*
• Dr Yu-Man TSUI*

The project focuses on developing monoclonal antibodies to target the protein LANCL1 in order to treat liver cancer. By specifically targeting LANCL1 on the surface of liver tumorinitiating cells (LTICs), the invention aims to inhibit the initiation and growth of liver tumors, which are known to be deadly and globally impactful. LANCL1 serves as a novel cell surface marker that drives LTIC functions, making it a promising target for therapeutic intervention in liver cancer management.

Bronze

Recurr-NET: A Multimodal Pre-operative Image-based Deep-learning Model for Predicting Hepatocellular Carcinoma Outcomes

• Prof. Wai-Kay SETO*
• Prof. Philip Leung-Ho YU
• Dr Keith Wan-Hang CHIU
• Dr Rex Wan-Hin HUI
• Dr Ho-Ming CHENG

The project focuses on developing a multimodal artificial intelligence model that integrates imaging and clinical data to predict outcomes for liver cancer after surgery. This innovative model demonstrates superior performance compared to traditional clinical scores and histology markers. It addresses the challenge of liver cancer recurrence by providing accurate predictions of recurrence risk post-surgery, thereby enhancing management strategies for healthcare providers. The artificial intelligence model leverages CT scans and patient data, significantly improving risk prediction capabilities