AI in Genomics and Biomarker Discovery: Advancing Precision Medicine
Keywords:
Genomics AI, biomarker discovery, multiomics integration, federated learning, real-time genomic diagnostics, precision medicine, explainable AI genomics, privacy-preserving AIAbstract
Artificial intelligence (AI) allows for reforming genomics and biomarker exploration through the ability to detect variants, polygenic risk scoring, and integrate multiomics. AI models are excellent for traditional methods because they can perform better in real-time diagnoses and genomic diagnostics. In addition to the so-called "big data" issues regarding data quality, privacy, and model interpretability, newly developed technologies such as federated learning and synthetic data generation propose various solutions for these problems. The main idea is that AI applications in clinical practice can turn precision medicine into personal medicine by achieving a high level of development in personalized treatment strategies for multisystemic diseases.
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