Pragmatic and Observational Research

Application of artificial intelligence to data management processes and predictive analysis

The rightful use of artificial intelligence (AI) and machine learning (ML) approaches can accelerate our ability to leverage and extend the information contained within original, heterogeneous, and high-volume multi-omics/genomics, phenotypic, longitudinal, and healthcare data management, processing, integration, annotation, interpretation, and sharing. AI/ML have the potential to elevate recovery process with diagnostic and predictive analysis to identify major causes of mortality, modifiable risk factors, and actionable information that supports early detection and prevention of targeted disorders and sequela. Effective application of AI/ML algorithms will lead to identifying treatments that have the most potential and detecting disease development and progression through symptoms and procedures that typically precede a diagnosis to identify patients who are very likely to develop a disease. This Article Collection focuses on studies involving application of AI/ML for data management process, biomarkers discovery, and predictive analysis.