The global wave of digitalization and net-zero initiatives is upon us. The Presidential Hackathon International Track eagerly awaits contributions from all sectors, fostering collaborative solutions to global challenges for a brighter future! Whether you bring innovative ideas or boundless hack spirit, all are welcome to join hands in reshaping the present and revolutionizing the future!

We are delighted to extend our invitation to the collaborative Neuroscience Symposium, titled "2023 Neuroscience Symposium - Neurodrug Development," jointly organized by the University of Helsinki and Taipei Medical University. The event is scheduled for December 12, 2023, at 9:00 AM. @Conferance Room 1, 8F, Teaching & Reseach Building, Shuangho Campus, Taipei medical University

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。

臺北醫學大學醫學科技學院健康資訊科技國際研究中心(TMU-ICHIT)與工研院生醫與醫材研究所(ITRI)訂於4/29(六) 9~12時 於 臺北醫學大學部立雙和醫院第一醫療大樓13樓國際會議廳 共同舉辦「2023神經科學跨領域共創研討會」，大會主題為：智慧醫院與腦科學開放式資料庫的整合與未來趨勢發展 (2023 Collaborative Neuroscience: The Convergence of Smart Hospitals and Open Databases in Brain Research)。

2022.12.05(Mon) 09:00-12:00 「2022 TMU-NHRI-NIH Neuroscience Symposium-Neurodegenerative Disorders」

2022.04.27 (W3) 13:00-16:00，Video Conference - College of Medical Science and Technology & College of Biomedical Engineering Joint Symposium on De Novo Strategies for Diagnosis & Treatment of Diseases @ https://taipeimedicaluniversity-wll.my.webex.com/taipeimedicaluniversity-wll.my-tc/j.php?MTID=m9507bfc0a896c595f8baed77b75f593a

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.

10 AM, DEC.10, 2021, ※The lecture will be remote using webex .

敬邀參與11/19(五).11/20(六) 國衛院與北醫大合辦 「2021神經退化性疾病-治療與機轉的新方向 2021 Neurodegenerative Diseases - New Directions in Mechanism and Treatment」國際研討會.