Scientists Create Digital Twins of Organs to Speed Up Drug Discovery
科學家建立人體器官數位孿生模型，以加速藥物研發
Scientists are revolutionizing medicine by building digital twins—sophisticated computer simulations of human organs.
科學家們正透過構建「數位孿生」(ㄕㄨˋㄨㄟˇㄌㄨㄢˇㄕㄥ)—即人體器官的精密電腦模擬—來徹底改變醫學。
Unlike static models, these digital twins act as dynamic, data-driven replicas that evolve as new information is gathered.
與靜態模型不同，這些數位孿生是動態且數據驅動的複製品，會隨著新資訊的收集而不斷演進。
By integrating complex data, from molecular structures to full physiological systems, researchers can now conduct "in silico" experiments.
透過整合從分子結構到完整生理系統等複雜數據，研究人員現在可以進行「矽基」(ㄒㄧˋㄐㄧ)實驗。
Organizations like the Modelling-Informed Medicine Centre (MiMeC) are leading this charge, working to standardize these models to speed up development.
像建模知情醫學中心 (MiMeC) 這類組織正引領這項變革，致力於將這些模型標準化，以加速研發進程。
While hurdles such as high computational demands and the need for strict data regulation remain, the potential is clear: digital twins could drastically reduce the high failure rates of traditional drug development, lower the reliance on animal testing, and eventually pave the way for precision medicine tailored to an individual’s unique biology.
儘管高計算需求和嚴格數據法規的必要性等障礙依然存在，但其潛力顯而易見：數位孿生能大幅降低傳統藥物研發的高失敗率，減少對動物實驗的依賴，並最終為量身打造個人獨特生物學特徵的精密醫療鋪路。
This technology marks a move toward a faster, more predictive, and safer future for global healthcare.
這項技術標誌著全球醫療保健正朝向更快速、更具預測性且更安全的未來邁進。
