494 人类细胞极其复杂，人工智能能否破解它的奥秘
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Silvana Konermann and the team at Arc Institute are trying to crack one of science's most difficult problems: why complex diseases like Alzheimer's and cancer remain so stubbornly unsolvable, even as research advances. Her solution is a universal “virtual cell” — an AI model trained on a billion biological experiments that can read the language of human cells, predict what's going wrong and reveal how to fix it. In conversation with TED’s Chris Anderson, Konermann explores how this work could fundamentally change the way we discover drugs and treat disease. (This ambitious idea is part of The Audacious Project, TED’s initiative to inspire and fund global change.)
阿尔克研究所的西尔瓦娜·科内曼（Silvana Konermann）及其团队，正试图攻克科学界最棘手的难题之一：为什么像阿尔茨海默病和癌症这样的复杂疾病，尽管研究不断进步，却依然难以攻克？她的解决方案是一个通用的“虚拟细胞”——一种基于十亿次生物实验训练的人工智能模型，能够解读人类细胞的语言，预测哪里出了问题，并揭示如何修复。在TED的克里斯·安德森的对话中，科内曼探讨了这项工作如何从根本上改变我们发现药物和治疗疾病的方式。（这一雄心勃勃的想法是“大胆项目”的一部分，这是TED激励和资助全球变革的倡议。）