生命科学中的计算:从早期算法到现代人工智能

Samuel A. Donkor, Matthew E. Walsh, Alexander J. Titus
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引用次数: 0

摘要

从 20 世纪 50 年代的早期计算模型到今天的人工智能(AI)和机器学习(ML)应用,生命科学领域的计算经历了一场变革性的演变。本文重点介绍了生命科学计算历史发展中的重要里程碑和技术进步。讨论内容包括生物过程计算模型的建立、生物信息学工具的出现以及人工智能/ML 在现代生命科学研究中的整合。本文关注了生命科学中使用的人工智能工具,如科学大语言模型和生物人工智能工具,研究了它们的能力、局限性以及对生物风险的影响。本文旨在澄清和确立基本术语和概念,以确保知情决策和跨学科有效交流。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computing in the Life Sciences: From Early Algorithms to Modern AI
Computing in the life sciences has undergone a transformative evolution, from early computational models in the 1950s to the applications of artificial intelligence (AI) and machine learning (ML) seen today. This paper highlights key milestones and technological advancements through the historical development of computing in the life sciences. The discussion includes the inception of computational models for biological processes, the advent of bioinformatics tools, and the integration of AI/ML in modern life sciences research. Attention is given to AI-enabled tools used in the life sciences, such as scientific large language models and bio-AI tools, examining their capabilities, limitations, and impact to biological risk. This paper seeks to clarify and establish essential terminology and concepts to ensure informed decision-making and effective communication across disciplines.
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