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AI for Biomedicine in the Era of Large Language Models
March 26, 2024, 4:50 a.m. | Zhenyu Bi, Sajib Acharjee Dip, Daniel Hajialigol, Sindhura Kommu, Hanwen Liu, Meng Lu, Xuan Wang
cs.CL updates on arXiv.org arxiv.org
Abstract: The capabilities of AI for biomedicine span a wide spectrum, from the atomic level, where it solves partial differential equations for quantum systems, to the molecular level, predicting chemical or protein structures, and further extending to societal predictions like infectious disease outbreaks. Recent advancements in large language models, exemplified by models like ChatGPT, have showcased significant prowess in natural language tasks, such as translating languages, constructing chatbots, and answering questions. When we consider biomedical data, …
abstract arxiv biomedicine capabilities cs.cl differential disease infectious disease language language models large language large language models outbreaks predictions protein protein structures quantum spectrum systems type
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