Artificial Intelligence in the Life Sciences

Aims & Scope✦ Inferred from recent articles

This journal focuses on the application of artificial intelligence (AI) and machine learning (ML) in various aspects of life sciences research. Key areas include drug discovery and development, such as predicting drug-drug interactions, designing synthesis routes, modeling molecule-protein interactions, and identifying drug targets. The journal also covers AI applications in understanding biological systems, predicting pathogenicity, analyzing clinical data, and operationalizing AI models in pharmaceutical research. Furthermore, it explores the interpretability, trustworthiness, and ethical considerations of AI in these domains.

AI-summarised from recent articles · verify on publisher page →

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Source: OpenAlex · Note: citations accumulate over time so older years appear higher

SJR Quartile by Discipline

Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.

Subject Classification