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Session Details

Pacific Symposium on Biocomputing (PSB) 2023

SALUD: Scalable Applications of cLinical risk Utility and preDiction

January 3-7, 2023 | The Big Island of Hawaii
Paper submissions due: August 1, 2022

Call for Papers

Genetics + Clinical Risk Modeling = Risky Business or Ready for Prime Time?

Identifying individuals at risk of disease prior to the onset of symptoms is one of the main challenges and goals of precision medicine. Despite recent advancements in estimating disease risk through integration of ‘omic and clinical data, many questions remain regarding best practices for the harmonization of multiple risk factors into clinically relevant models. Also, we feel there needs to be more discussion around the inclusion and generalization of genetic factors in non-European populations, as well as the application and implementation of thoughtful approaches in the clinic.

Development and use of new, scalable methods or innovative machine learning approaches for harmonizing and refining risk prediction models by incorporating :

Genetic and non-genetic risk factors
'Omics data (including multi-organ imaging data)
Biological or molecular knowledge
Expansion to underrepresented populations

Clinical Implications and application of risk prediction models. Examples include:

Implemention of risk models
Responsible use of PGS and other risk prediction strategies
Awareness among clinical educators and patients

Longitudinal disease models for comorbidity and risk prediction. Examples include:

Association of PGS with secondary conditions such as comorbidities
Understanding how genetic risk for one disease can inform risk for comorbidities
Predicting adverse health outcomes using genetic risk models, early diagnosis, interventions and treatment strategies

Call for Reviewers

Open peer review has long been a topic of discussion given its many merits, including fostering transparent communication of diverse ideas. Though it's not as prevalent as the traditional blinded peer review model, we feel giving reviewers the option to opt-in to an open review has the ability to strengthen discussion for both the reviewers and submitter.

If you are interested in reviewing submissions for the Clinical Risk Prediction session, click the link for the interest form below:

I Want to Review