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HKUST Scientists Achieve Groundbreaking First by Applying Artificial Intelligence for Early Risk Forecasting of Alzheimer’s Disease 科大取得重大科研突破　首度利用人工智能為阿爾茲海默症作早期風險預測 An international research team led by the Hong Kong University of Science and Technology (HKUST) has developed an artificial intelligence (AI)-based model that uses genetic information to predict an individual’s risk of developing Alzheimer’s disease (AD) well before symptoms occur. The team, led by Prof. Nancy IP, HKUST President, and Prof. CHEN Lei, Chair Professor and Director of the University’s Big Data Institute, established one of the first deep-learning models for estimating AD polygenic risks in both European-descent and Chinese populations. Compared to other models, these deep learning models more accurately classify patients with AD. By combining the new model with genetic testing, an individual’s lifetime risk of developing AD can be estimated with over 70% accuracy. To learn more about the discovery, please click here. 由香港科技大學（科大）領導的一支國際研究團隊最近開發了一套人工智能模型，利用遺傳信息，可在病人出現病徵之前，預測罹患阿爾茲海默症的風險。 科大校長葉玉如教授和科大大數據研究所主任陳雷教授帶領的團隊，建立了首批深度學習模型，用於評估歐洲和中國人群患上阿爾茲海默症的多基因風險。與其他模型相比，科大的深度學習模型能更準確地辨識出阿爾茲海默症患者。當它與基因檢測結合運用，可估計一個人在其一生中患阿爾茲海默症的風險，準確率超過70%。 歡迎按此了解這項科研突破的詳情。 Email paoeditorial@ust.hk for feedback and questions. Unsubscribe Privacy Copyright © The Hong Kong University of Science and Technology. All rights reserved.