Abstract
Precision medicine is revolutionizing the field of healthcare by providing tailored treatment plans based on an individual’s genetic, environmental, and lifestyle factors. Neural networks and artificial intelligence (AI) are playing a pivotal role in this transformation, enabling the analysis of vast amounts of data to uncover patterns that inform personalized treatment strategies. This article explores how neural networks and AI are applied in precision medicine, from diagnostics to treatment recommendations. We discuss the challenges of data integration, ethical considerations, and the future potential of AI-driven personalized medicine to improve patient outcomes and enhance healthcare efficiency.
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