Artificial Intelligence in the Life Sciences

AILSCI provides a forum for theoretical and methodological advances and practical applications of Artificial Intelligence (AI) in the broader life science area including:

• Molecular, structural, and cell biology

• Systems and disease biology

• Bioinformatics and cheminformatics

• Medicinal chemistry and chemical biology

• Drug discovery and design

• Medical research exploring new opportunities for therapy

Publications are required to contain substantial AI and life science contents and must be novel and of high scientific quality. Particularly encouraged are contributions reporting:

• Development of new AI methods for life science research including machine learning, explainable AI, generative approaches, foundation models, or agentic AI systems

• Adaptation of AI concepts from computer science for life science applications

• Interdisciplinary approaches interfacing AI with experimental research including agentic and robotic platforms

Not considered are manuscripts on topics falling outside the scope of AILSCI such as:

• Clinical diagnostic studies (such as medical image analysis in clinical practice)

• Retrospective COVID-19 studies and predictions of disease outbreaks or pandemics

• Investigations of plant or animal diseases

• Studies reporting increasingly complex AI models for machine learning applications without demonstrating significant advances compared to simpler standard models

• Applications of existing bio- and cheminformatics and molecular modeling methods that do not provide novel findings of high interest