Artificial intelligence and machine learning approaches using gene expression and variant data for personalized medicine.

ABSTRACT: Precision medicine uses genetic, environmental and lifestyle factors to more accurately diagnose and treat disease in specific groups of patients, and it is considered one of the most promising medical efforts of our time. The use of genetics is arguably the most data-rich and complex components of precision medicine. The grand challenge today is the successful assimilation of genetics into precision medicine that translates across different ancestries, diverse diseases and other distinct populations, which will require clever use of artificial intelligence (AI) and machine learning (ML) methods. Our goal here was to review and compare scientific objectives, methodologies, datasets, data sources, ethics and gaps of AI/ML approaches used in genomics and precision medicine. We selected high-

SUBMITTER: Vadapalli S 

PROVIDER: S-EPMC10233311 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature