January 3-7, 2027

The Big Island of Hawaii, U.S.A.

Call for Papers and Posters

Precision Medicine:

Computational and AI Approaches for Understanding the Biological Basis of Health and Disease.

Motivation

Precision medicine draws on deep biological knowledge to tailor medical decisions and treatments to individual patients in a data-driven manner. The emergence of foundation models, biological sequence language models, and generative approaches represents a paradigm shift in how we can interrogate biological systems, predict molecular function, and design therapeutic interventions. For PSB 2027, we are particularly interested in papers that leverage these advanced computational approaches to illuminate disease mechanisms and translate biological insights into clinical applications. This includes research utilizing foundation models for protein structure and function prediction, large language models for genomic sequence interpretation, generative models for drug and therapeutic design, and AI-driven approaches for integrating diverse biological data types. We welcome papers that promote mechanistic understanding of disease through innovative computational analysis of biological data.

Achieving the promise of precision medicine requires applying state-of-the-art computational tools to integrate and interpret the large volumes of data being generated. To this end, we will invite submission of papers that analyze genomic, epigenomic, transcriptomic, proteomic, multi-omic, metabolomic, metagenomic, spatial, or other similar data types, along with their connection to clinical phenotypes and medical outcomes, with an emphasis on patient-specific data and precision medicine applications. We welcome submissions on topics including generative AI for biological discovery, foundation models applied to molecular and clinical data, integration of multiple types of large-scale biological data, personalized risk and intermediate phenotype prediction, mechanistic disease modeling, and advances in deep learning for precision medicine.

Session Topics

We invite contributions in a wide range of computational topics applicable to precision medicine, both in and outside the clinic. This session will cover original research and methodologies addressing precision medicine's most pressing current and anticipated challenges related to human health.

Examples of topics within the scope of this session include but are not limited to:

Foundation models and generative AI approaches for understanding biological systems, including protein structure prediction, genomic sequence modeling, and molecular function inference.
Large language models for biological sequences yielding novel insight into genomic variation, pathogenesis, and pharmacogenetics.
Generative approaches for therapeutic design, including drug discovery, antibody engineering, and gene therapy optimization.
Exploration of novel machine learning and deep learning approaches for the integration, interpretation, and application of genome variation data and other large-scale biological data.
Methods that exploit and integrate genomic, proteomic, transcriptomic, metabolomic, metagenomic, and other omics data for high-resolution individualized health-related outcomes.
Analysis of large-scale patient-specific biological data to predict clinical phenotypes.
Development of causal or predictive models for relating genotype, gene expression, disease labels, and intermediate phenotypes, as well as multi-omics models that incorporate intermediate phenotypes in evaluating disease status.
Methods for clinical annotation and interpretation of whole-genome and long-read sequencing data.
Methods leveraging rare or low-frequency noncoding variants from whole-genome sequencing or structural variants and epigenetic variation from long-read sequencing.
Innovations in polygenic risk score estimation and their clinical applications.
Methods for multi-ancestry analyses that explain observed health disparities and approaches to ensure equity and effectiveness of precision medicine for populations from diverse genetic and environmental backgrounds.
Methods for estimating and/or incorporating genetic ancestry for genomic discovery and precision medicine implementation.
Methods or approaches for interpreting genome relationship with the microbiome in clinical contexts.
Methods for analyzing, interpreting, and applying pharmacogenetics information.
Methods for incorporating data from biological perturbations generated by advanced genome editing techniques into phenotype predictive or integrative models.
AI approaches for computational pathology and histopathology image analysis in precision medicine.
Methods that enable data and model sharing while preserving patient privacy.

Session Organizers

Tayo Obafemi-Ajayi, Missouri State University; TayoObafemiAjayi@missouristate.edu

Nilah Ioannidis, University of California Berkeley; nilah@berkeley.edu

Mohamed Omar, Cedars-Sinai Medical Center; Mohamed.Omar@csmc.edu

Steven Brenner, University of California Berkeley; brenner@compbio.berkeley.edu

Submission Information

The submitted papers are fully reviewed and accepted on a competitive basis.

Important Dates: (https://psb.stanford.edu/keydates)

Paper submissions due: August 3, 2026 (no extensions will be granted)
Notification of paper acceptance: September 8, 2026
Camera-ready final paper deadline: October 1, 2026
Deadline for poster abstract submission: December 1, 2026

Paper Format and Submissions:

Please see the PSB paper format template and instructions at https://psb.stanford.edu/psb-online/psb-submit.

Unlike the abstracts at most biology conferences, papers in the PSB proceedings are archival, rigorously peer-reviewed publications. PSB publications are Open Access and linked directly from MEDLINE/PubMed and Google Scholar for wide accessibility. They should be thought of as short journal articles that may be cited on CVs and grant reports.

Poster Format:

Poster presenters will be provided with an easel and a poster board 32"W x 40"H (80x100cm). One poster from each paid participant is permitted. See the submission portal web site for the instructions regarding poster submissions.