Editorial: Precision Medicine Meets AI
Raymond L. Rosales
Oct 2024 DOI 10.35460/2546-1621.2024-0185 Access
Abstract
There are rapid advancements in AI-driven diagnostics and wearable technologies, which are enabling early disease prediction, especially in conditions like Parkinson's disease. Precision medicine, underpinned by molecular biology and genomic data, allows clinicians to tailor treatment based on patient phenotypes, significantly enhancing personalized healthcare. AI complements this by processing vast datasets, from health records to biomarker evaluations, supporting more precise diagnostics and treatment recommendations.
-
National Research Council. Toward Precision Medicine: Building a Knowledge Network for Biomedical Research and a New Taxonomy of Disease (The National Academies Press, Washington, DC, 2011).
-
Johnson KB, Wei WQ, Weeraratne D, Frisse ME, Misulis K, Rhee K, et al. Precision Medicine, AI, and the Future of Personalized Health Care. Clin Transl Sci. 2021 Jan;14(1):86-93. doi: 10.1111/cts.12884. Epub 2020 Oct 12.
Articles related to the one you are viewing
There are currently no results to show, please try again later
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License, which permits use, share — copy and redistribute the material in any medium or format, adapt — remix, transform, and build upon the material, as long as you give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original. You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit https://creativecommons.org/licenses/by-nc-sa/4.0/.