M. Parise

Artificial intelligence for genomic science: a scoping review of concepts, architectures, applications, and open challenges

This scoping review mapped how AI is defined and operationalized in genomic science, including machine learning, deep learning, graph-based methods, foundation models, and large language models, and synthesized their data modalities, applications, evaluation practices, interpretability strategies, and governance challenges.