Abstract
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 language | English (US) |
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Pages (from-to) | 407-412 |
Number of pages | 6 |
Journal | Pacific Symposium on Biocomputing |
Issue number | 2023 |
DOIs | |
State | Published - 2023 |
Event | 28th Pacific Symposium on Biocomputing, PSB 2023 - Kohala Coast, United States Duration: Jan 3 2023 → Jan 7 2023 |
All Science Journal Classification (ASJC) codes
- Biomedical Engineering
- Computational Theory and Mathematics