2024.03.21(W4) 13:30-15:00，Special Lecture on BIGI : Transforming drug discovery through AI. @ Meeting Room A, 9th Floor, Teaching and Research Building, TMU Shuanghe Campus

2024.03.14(W4) 13:30-15:00，Special Lecture on BIGI : Smart Ageing Tech: Enabling Digital Transformation in the Healthcare Industry. @ Meeting Room A, 9th Floor, Teaching and Research Building, TMU Shuanghe Campus

臺北醫學大學醫學科技學院健康資訊科技國際研究中心主辦的【世界病人安全教父David W. Bates教授演講暨交流會】將於7月28日（五）下午14:00至16:30舉行。我們特邀美國哈佛大學的David W. Bates教授以及北醫大醫學資訊研究所特聘教授李友專Yu-Chuan (Jack) Li，共謀AI在醫療領域的前瞻應用。本場線上講座匯聚了業界精英，期待透過分享與交流，共同推進醫療科技的未來發展。誠摯邀請您的參與，共創新的科技醫療篇章。

Using artificial intelligence based models to predict the risk of mucormycosis among COVID 19 survivors: An experience from a public hospital in India

北一女中今年應屆科學班高三生梁詠榛耗時約8個月，在台北醫學大學醫療資訊研究所助理教授楊軒佳（圖左）指導下，完成個別科學研究成果

Artificial Intelligence of Things (AIoT) is the combination of artificial intelligence and internet of things (IoT), and has opened a wide range of opportunities for healthcare advancements. Wearable devices, non-contact sensors, m-health technologies are some examples of IoT which when connected to the internet can collect valuable medical data. This data can provide insights about the symptoms, the patterns and variations, enable remote care and monitoring, and encourage participatory health care among the patients. Research has focused on the IoT devices, and how they can be used to monitor health parameters and detect health conditions. Non-contact sensors are gaining popularity in clinical settings for monitoring the vital parameters of patients. Application of artificial intelligence (AI) algorithms on the data collected from IoT devices can help in prediction, early detection, and better management of diseases. These models could assist healthcare professionals in decision making and formulating better care plans for patients. Thus, artificial intelligence has a wide range of applications for healthcare data from IoT devices.

經濟部於11月10日隆重舉辦「110年經濟部產業創新成果聯合頒獎典禮」，現場揭曉及頒發具有產業創新奧斯卡獎之稱的第7屆「國家產業創新獎」44件得獎作品，與獎勵智財專利「國家發明創作獎」的43位金銀牌得主。在這兩年一度的盛會中，賴清德副總統更在百忙中親臨致詞與頒獎，帶領大家共同見證我國產業創新盛事。

隨著醫療進步，處方用藥變得越來越複雜，吃錯藥的比例也逐年攀升。2004年起，李友專院長開始關注處方安全問題。

Dr. Yu-Chuan Jack Li, distinguished Professor of the College of Medical Science and Technology, Taipei Medical University and President-Elect of the International Medical Informatics Association, speaks about Taiwan’s successful coping with the COVID-19-Crisis. He sketches opportunities und innovative solutions and chances for the future due to the pandemic