The Convergence of Genomics and AI: Toward a New Era of Personalized Medicine
Mots-clés :
genomics, artificial intelligence, personalized medicine, machine learning, deep learning, precision medicine, genetic data, targeted therapies, oncology, biomarker discovery, genetic disordersRésumé
The integration of genomics and artificial intelligence (AI) represents a groundbreaking convergence in modern medicine, paving the way for personalized healthcare solutions that are more precise, effective, and tailored to individual genetic profiles. Genomics, the study of the complete set of genes within an organism, provides a vast amount of data that can be leveraged to understand disease mechanisms, identify genetic predispositions, and develop targeted therapies. However, the sheer volume and complexity of genomic data present significant challenges in analysis and interpretation. This is where AI, particularly machine learning (ML), steps in, offering advanced tools to process, interpret, and extract meaningful insights from genomic data at unprecedented scales.
