AI in Genomic Medicine: Unlocking the Potential of Precision Health
Abstract
Genomic medicine, powered by artificial intelligence (AI), is transforming the landscape of precision health. This paper delves into the role of AI in analyzing vast genomic datasets to identify genetic markers, predict disease risk, and develop targeted therapies. By leveraging machine learning algorithms, researchers can uncover complex genetic patterns and associations that traditional methods may overlook. The paper presents several case studies where AI has significantly contributed to advancements in cancer genomics, rare disease diagnosis, and pharmacogenomics. Challenges such as data privacy, ethical considerations, and the need for interdisciplinary collaboration are also discussed.
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