Wei Wang¹ , Qikun Huang²

1 Biotechnology Research Center, Cuixi Academy of Biotechnology, Zhuji, 311800, China
2 Institute of Life Science, Jiyang College of Zhejiang A&F University, Zhuji, 311800, China
Author    Correspondence author
International Journal of Molecular Medical Science, 2024, Vol. 14, No. 1   doi: 10.5376/ijmms.2024.14.0003
Received: 02 Jan., 2024    Accepted: 03 Feb., 2024    Published: 13 Mar., 2024

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Wang W., and Huang Q.K., 2024, The application prospects of artificial intelligence in molecular medicine, International Journal of Molecular Medical Science, 14(1): 16-23 (doi: 10.5376/ijmms.2024.14.0003)

The application of artificial intelligence in molecular medicine has garnered widespread interest and research. With the continuous increase in data volume and advancements in computing capabilities, artificial intelligence algorithms have demonstrated significant potential in the field of molecular medicine. This review introduces the basic principles and classifications of artificial intelligence, along with fundamental concepts and research content of molecular medicine. Addressing applications in early disease diagnosis, identification and prediction of molecular markers, drug design and discovery, as well as treatment response and personalized therapy in molecular medicine, the paper discusses the potential of artificial intelligence, outlines the prospects of its application in molecular medicine, and explores associated opportunities and challenges. However, artificial intelligence faces challenges in the molecular medicine field, including issues related to data quality and quantity, privacy and ethics, as well as model interpretability and trustworthiness. The review provides insights into the future directions of artificial intelligence in molecular medicine, encompassing the application of new technologies and methods, interdisciplinary collaboration and resource sharing, and the collaborative role of artificial intelligence with human physicians. It is hoped that through this review, researchers and the medical community can gain a comprehensive understanding of the application of artificial intelligence in molecular medicine.

Artificial intelligence; Molecular medicine; Early diagnosis; Drug discovery; Precision medicine