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

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.

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Publication Details

Published
2024-11-21
DOI
https://doi.org/10.1142/9789819807024_0042
Primary Topic
Health, Environment, Cognitive Aging
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Zhongming Zhao, Peter Kochunov, Li Shen, Paul M. Thompson
Health, Environment, Cognitive Aging
article

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

Zhongming Zhao, Peter Kochunov, Li Shen, Paul M. Thompson
article en

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.

Vol. 30
University of Pennsylvania (US), The University of Texas Health Science Center at Houston (US)
Openalex Percentile: Top 70%
Health, Environment, Cognitive Aging
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