量子计算:摆脱数据桎梏,创新药研发充满想象力的未来 | 李 翛然 | TEDxNanjing
传统新药研发平均耗时10-15年,花费超过20亿美元,而失败率高达95%。其根本原因在于,我们一直未能精准分析药物、靶点与机体之间的三重相互作用。面对这一困境,李翛然讲述了自己团队将AI技术与量子计算相结合,构建了“Quantum AIDD”(量子计算+AI药物设计)平台,通过高效求解薛定谔方程,提升药物分子模拟的精度和速度,推动定制化药物设计的故事。 李翛然博⼠是量子计算与AI制药领域的创新先锋,医图⽣科创始⼈兼CEO,CCF会员。他在量子计算和药物研发领域深耕,发表多篇SCI论⽂,拥有数项药物发明全球专利。作为业内先行者;主导医图⽣科的研发与商业化,开展了AI与量子计算在⽣物医药中的研究及应⽤项⽬。他将量子计算融⼊药物设计流程,探索未曾被AI与人类观察到的生物现象,开启“量⼦AI药物设计”时代,为制药⾏业带来全新的变革路径。 This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
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