April 2, 2024, 7:42 p.m. | Yue Wang, Yingzhou Lu, Yinlong Xu, Zihan Ma, Hongxia Xu, Bang Du, Honghao Gao, Jian Wu

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.01273v1 Announce Type: new
Abstract: Recently, there has been a burgeoning interest in virtual clinical trials, which simulate real-world scenarios and hold the potential to significantly enhance patient safety, expedite development, reduce costs, and contribute to the broader scientific knowledge in healthcare. Existing research often focuses on leveraging electronic health records (EHRs) to support clinical trial outcome prediction. Yet, trained with limited clinical trial outcome data, existing approaches frequently struggle to perform accurate predictions. Some research has attempted to generate …

abstract arxiv clinical clinical trials costs cs.cl cs.lg development digital digital twins electronic gpt health healthcare knowledge language language model large language large language model patient reduce research safety scientific stat.me twin twins type via virtual world

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