Ai And Predictive Medicine: Recent Advances

This article discusses the potential of deep learning, specifically convolutional neural networks, in enhancing predictive modeling for omics data analysis in precision medicine. The authors highlight the challenges and future research directions in utilizing omics data for precision medicine, and address the limitations in current predictive modeling methods. They also discuss the challenges in genomics research, including the focus on common genetic variants and the need to consider rare variants and gene-environment interactions.