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This paper introduces Apodex Discovery, a framework and reality benchmark (TRACES) for evaluating and building 'discoverative AI'—AI systems that investigate open-ended real-world problems. The proposed heavy-duty solvers outperform published state-of-the-art on AAV capsid design and improve drug repurposing prediction scores.
伦敦国王学院的一项研究显示,医院和大学正在以不到制药公司成本10%的费用进行仿制药重新利用的后期临床试验,为失明、癌症预防和新冠等疾病提供可负担的治疗方案。
DeepMind的Co-Scientist AI在实验室测试中帮助识别了两种重新利用的药物,可阻断肝纤维化,其中一种抗癌药物阻断了91%的损伤反应,优于人类专家的选择。