2023-01-012024-05-17https://scholars.lib.ntu.edu.tw/handle/123456789/672147本計畫提出成立｢尖端生醫計算及影像研究中心｣，由計算、影像與多體學三大前瞻技術主題組成，藉以瞭解發育、老化和癌症相關的細胞命運和動態變化，以及精神/神經疾患的致病機轉，進而促進人類健康和疾病治療。本中心計畫的提出，是基於先進計算領域近年來之發展，以及前瞻生醫影像技術的驅動，並結合現今多體學技術之成熟，因此有機會透過新科技的應用解決過去無法應對的生醫課題。這些尖端技術在精準健康和醫療上扮演關鍵轉譯及橋接角色，讓新藥開發得以縮短時程、個人化醫療也有被實現之曙光。本中心在研究方面有三個主要推動目標：一、運用尖端多體學技術產生各種數據；二、透過尖端計算技術與資源發展新穎的古典與量子演算法、分析工具和資料庫；三、發展尖端影像技術，結合多體學資料和計算分析獲得有用且重要的資訊。透過達成這些技術目標，並落實人才培育與國際學術合作，致力於醫療照護與健康品質之長期目標。The proposed "Center for Advanced Computing and Imaging in Biomedicine" consists of three technical components: computing, imaging, and multi-omics. The advanced technologies developed in the center will be applied to understand the cells` development, aging, and dynamics, as well as the mechanism of neural diseases and mental illness. This proposed center is motivated by the recent rapid development of computing and imaging technologies and the long-term goal is to promote human health and disease treatment. With the combination of computing, imaging and multi-omics, we can tackle the challenges in biomedicine that were not possible before. In addition, these advanced technologies play a critical role in bridging the current state-of-the-art to future precision healthcare and medicine so that the time for new drug discovery can be significantly shortened and personalized medicine can one day be realized. To this end, there are three primary goals in this proposal: 1. Utilize the multi-omics approach to generate more health-relevant data; 2. Develop novel classical and quantum computing algorithms for data analytics and establish databases; 3. Design and implement advanced biomedical imaging technologies. The image data will be combined with multi-omics data and the computing technologies will thus derive useful information. With these technology development tasks, in this center we will also build a platform for general education and international collaboration.