Category: News

  • Xinke’s work on DTI prediction is now published in Digital Discovery

    Congratulations to Xinke Zhan on the publication of his new work in Digital Discovery! The innovative multi-perspective attention approach of the MAARDTI model offers a powerful advance for the prediction of drug-target interactions. We look forward to its impact on drug discovery! We are especially grateful for the many constructive…

  • The Team Publishes New Progress in Chemical Ecotoxicological Prediction in ACS Omega

    Congrats to Xinpo on his ACS Omega paper published on Aug 12 comparing machine learning and deep graph learning for chemical ecotoxicity prediction. The study highlights the superior performance of GCN for environmental safety modeling, especially for same-species predictions. However, cross-species prediction remains challenging. Immediate testing of chemicals is available…

  • Screening of novel anticancer peptides from bacterial genome

    Our work on the discovery of novel anticancer peptides using AI approaches is published in the Journal of Chemical Information and Modeling. This is a collaborative work with the team of Henry Kwok, Chris Wong, and Lawrence Si from University of Macau. In this research, we developed an AI workflow…

  • Exploring Frontiers at the Sino-German Symposium on AI in Medicine on Nov 16-18, 2023 in Shanghai, China

    Exploring Frontiers at the Sino-German Symposium on AI in Medicine on Nov 16-18, 2023 in Shanghai, China

    The Sino-German Medical Artificial Intelligence Conference, co-organized by Tongji University and the Technical University of Munich, and hosted by Tongji University’s affiliated Tongji Hospital, concluded successfully. Themed “Bridging the Gap Between Developers and Medical Practitioners,” the conference brought together numerous academics and clinical researchers to share their latest research and…

  • Joining the AIDD Centre at MPU

    Starting in September 2023, Shirley Siu joined the Centre for Artificial Intelligence Driven Drug Discovery at Macao Polytechnic University.