在科学范式下的人工智能下,在生物学和医学中大语言模型的创新应用
Xing-Li Cun1,2, Chen-Jun Ding2, Fang Chen2,3
1Research and Consulting Center for The Frontier of the Intersection of Biotechnology and Information Technology(BT-IT),Chinese Academy of Sciences, Chengdu 610299,China.
概括
大型语言模型 (LLM) 正在彻底改变生物医学研究,为了解复杂疾病和推进精准医学提供了新的方法. 本综述探讨了LLM应用,挑战和科学人工智能的快速发展领域的未来方向.
科学领域:
- 生物医学研究的研究.
- 医学中的人工智能
- 计算生物学是一种计算生物学.
背景情况:
- 科学范式的人工智能正在快速发展,大型语言模型 (LLM) 成为一种变革性技术.
- 法律学正在越来越多地影响生物和医学研究,需要对其应用进行系统的审查.
- 了解LLM的作用对于破译复杂疾病和推进精准医学的方法创新至关重要.
研究的目的:
- 系统地审查和分析LLMs在生物医学研究中的创新应用.
- 阐明尖端研究进展,发展轨迹和LLM应用的持续挑战.
- 为该领域的方法创新和研究范式转型提供关键参考.
主要方法:
- 对过去两年的高影响力同行评审出版物和预印稿进行比较分析.
- 系统检查跨生物和医学领域的LLM应用程序.
- 审查研究进展,发展轨迹和挑战.
主要成果:
- 在生物学和医学领域的LLM应用中识别尖端研究进展和发展轨迹.
- 阐明当前LLM应用中持续存在的挑战和局限性.
- 概述LLMs为生物医学研究注入的变革动力.
结论:
- 在科学范式中,LLM代表了人工智能的重大进步,为生物医学发现提供了新的途径.
- 解决跨学科挑战和未来考虑对于充分利用法学士的潜力至关重要.
- 该领域正在迅速发展,有望在理解复杂疾病和推进精准医学方面进一步转变.
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