The COVID-19 pandemic has illuminated the longstanding inequities and fractures within the healthcare system. As we build the future of healthcare, we can aim to create a system that is more fair, more tailored, and more cost-effective. Rapid advances in sequencing and genomic technologies as well as large data streams from electronic health records (EHRs), imaging data, and wearables have created new opportunities for reimagining healthcare delivery. With increasing amounts of multi-dimensional data from these modalities, we will require machine learning and other novel approaches to discover new insights and to ultimately improve healthcare delivery.
Source: National Cancer Institute
Our session will focus on machine learning and other novel methods that leverage either genomics or other forms of multi-modal clinical data in order to improve healthcare. These improvements may range from identifying ways to risk stratify or treat patients for higher value care to creating tools for mitigating bias in health systems.
Broadly, we are interested in:
In this year’s session we are particularly interested in submissions that tackle inequities such as:
Steven E. Brenner
University of California, Berkeley
Martha L. Bulyk*
Brigham & Women's Hospital and Harvard Medical School
Jonathan H. Chen
Stanford School of Medicine
Dana C. Crawford
Case Western Reserve University
Stanford School of Medicine University
Samuel G. Finlayson
Harvard School of Medicine & MIT
Stanford University & Bioclinica
The submitted papers are fully reviewed and accepted on a competitive basis.
Please see the PSB paper format template and instructions at http://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.
PSB traditionally provides fellowships for select trainees. The application process opens upon paper acceptance. Individuals from underrepresented communities are particularly encouraged to participate in the conference and apply for travel support.
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.
Last updated: April 5th, 2021