Session Introduction: SALUD: Scalable Applications of cLinical risk Utility and preDiction

Pankhuri Singhal, Yogasudha Veturi, Renae Judy, Yoson Park, Marijana Vujkovic, Olivia Veatch, Rachel Kember, Shefali Setia Verma

Research output: Contribution to journalConference articlepeer-review


This PSB 2023 session discusses challenges in clinical implication and application of risk prediction models, which includes but is not limited to: implementation of risk models, responsible use of polygenic risk scores (PGS), and other risk prediction strategies. We focus on the development and use of new, scalable methods for harmonizing and refining risk prediction models by incorporating genetic and non-genetic risk factors, applying new phenotyping strategies, and integrating clinical factors and biomarkers. Lastly, we will discuss innovation in expanding the utility of these prediction models to underrepresented populations. This session focuses on the overarching theme of enabling early diagnosis, and treatment and preventive measures related to complex diseases and comorbidities.

Original languageEnglish (US)
Pages (from-to)407-412
Number of pages6
JournalPacific Symposium on Biocomputing
Issue number2023
StatePublished - 2023
Event28th Pacific Symposium on Biocomputing, PSB 2023 - Kohala Coast, United States
Duration: Jan 3 2023Jan 7 2023

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Computational Theory and Mathematics


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