Yu Taeho, Chae Minjee, Wang Ziling, Ryu Gahyeon, Kim Gi Bae, Lee Sang Yup
Metabolic and Biomolecular Engineering National Research Laboratory, Department of Chemical and Biomolecular Engineering (BK21 Four), KAIST Institute for BioCentury, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Systems Metabolic Engineering and Systems Healthcare Cross-Generation Collaborative Laboratory, KAIST, Daejeon, Republic of Korea.
Microb Biotechnol. 2025 Mar;18(3):e70131. doi: 10.1111/1751-7915.70131.
The combination of artificial intelligence (AI) with microbial technology marks the start of a major transformation, improving applications throughout biotechnology, especially in healthcare. With the capability of AI to process vast amounts of biological big data, advanced microbial technology allows for a comprehensive understanding of complex biological systems, advancing disease diagnosis, treatment and the development of microbial therapeutics. This mini review explores the impact of AI-integrated microbial technologies in healthcare, highlighting advancements in microbial biomarker-based diagnosis, the development of microbial therapeutics and the microbial production of therapeutic compounds. This exploration promises significant improvements in the design and implementation of health-related solutions, steering a new era in biotechnological applications.
人工智能(AI)与微生物技术的结合标志着一场重大变革的开始,改善了整个生物技术领域的应用,尤其是在医疗保健领域。凭借人工智能处理大量生物大数据的能力,先进的微生物技术有助于全面了解复杂的生物系统,推动疾病诊断、治疗以及微生物疗法的发展。本综述探讨了人工智能整合微生物技术在医疗保健领域的影响,重点介绍了基于微生物生物标志物的诊断进展、微生物疗法的开发以及治疗性化合物的微生物生产。这一探索有望显著改进与健康相关解决方案的设计和实施,引领生物技术应用的新时代。