Session Introduction: Translating Big Data Imaging Genomics Findings to the Individual: Prediction of Risks and Outcomes in Neuropsychiatric Illnesses

Authors

Peter Kochunov
Li Shen
Zhongming Zhao
Paul M Thompson

Language

English

Publication Date

1-1-2025

Journal

Pacific Symposium on Biocomputing

DOI

10.1142/9789819807024_0042

PMID

39670398

Abstract

This PSB 2025 session is focused on opportunities, challenges and solutions for translating Big Data Imaging Genomic findings toward powering decision making in personalized medicine and guiding individual clinical decisions. It combines many of the scientific directions that are of interest to PSB members including Big Data analyses, pattern recognition, machine learning and AI, electronic health records and others.

Keywords

Humans, Precision Medicine, Computational Biology, Big Data, Mental Disorders, Genomics, Imaging Genomics, Translational Research, Biomedical, Machine Learning

Published Open-Access

yes

Recommended Citation

Kochunov, Peter; Shen, Li; Zhao, Zhongming; et al., "Session Introduction: Translating Big Data Imaging Genomics Findings to the Individual: Prediction of Risks and Outcomes in Neuropsychiatric Illnesses" (2025). Faculty, Staff and Student Publications. 800.
https://digitalcommons.library.tmc.edu/uthshis_docs/800