TY - JOUR
T1 - Session Introduction
T2 - 28th Pacific Symposium on Biocomputing, PSB 2023
AU - Singhal, Pankhuri
AU - Veturi, Yogasudha
AU - Judy, Renae
AU - Park, Yoson
AU - Vujkovic, Marijana
AU - Veatch, Olivia
AU - Kember, Rachel
AU - Verma, Shefali Setia
N1 - Funding Information:
Acknowledgements PS is supported by F31AG069441-01.
Publisher Copyright:
© 2022 The Authors.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85144300569&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85144300569&partnerID=8YFLogxK
U2 - 10.1142/9789811270611_0037
DO - 10.1142/9789811270611_0037
M3 - Conference article
C2 - 36540995
AN - SCOPUS:85144300569
SN - 2335-6936
SP - 407
EP - 412
JO - Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
JF - Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
IS - 2023
Y2 - 3 January 2023 through 7 January 2023
ER -