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Yu Huang

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Assistant Professor

Indiana University School of Medicine

United States

Research Interests

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Digital Care Team for AD Risk Assessment: Integrating Retinal Biomarkers, RWD, and AI-Driven Analysis for Early Detection

Open Date: 2025-01-01

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Articles (20)

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Collaborators (12)

Vivian Fonseca

Professor

Tulane University

UNITED STATES

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Yonghui Wu

Professor

University of Florida

UNITED STATES

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Hao Dai

University of Florida Health

UNITED STATES

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Ronald Ison

University of Florida

UNITED STATES

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Jingchuan Guo

UNITED STATES

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Fuyi Li

Group leader

University of South Australia

AUSTRALIA

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Michelle Alvarado

Assistant Professor

University of Florida

UNITED STATES

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Xin Ma

University of Florida

UNITED STATES

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Li Chen

Associate Professor

University of Florida

UNITED STATES

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Wenxi Huang

University of Florida

UNITED STATES

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Jiang Bian

Professor and Vice Chair of Translational Informatics

Indiana University School of Medicine

UNITED STATES

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Melissa Armstrong

University of Florida Health

UNITED STATES

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Yu Huang

Research Interests

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Recent Grants

Articles (20)

Social determinants of healthy aging: An investigation using the all of us cohort

Health Digital Twin Applications

Identifying sex-specific sub-phenotypes of Alzheimer's disease progression using longitudinal electronic health records

Toward a Computable Phenotype for Determining Eligibility of Lung Cancer Screening Using Electronic Health Records

Optimizing Strategy for Lung Cancer Screening: From Risk Prediction to Clinical Decision Support

Heterogeneous effects of sodium–glucose cotransporter‐2 inhibitors compared to dipeptidyl peptidase‐4 inhibitors on nephrolithiasis in older adults with type 2 diabetes

Glycogen drives tumour initiation and progression in lung adenocarcinoma

Care coordination and patient safety outcome: a graph-based approach

Variational temporal deconfounder network for individualized treatment effect estimation with longitudinal observational data

Clinical Trial Eligibility Criteria Decomposition and Parsing with Large Language Models

399-P: Towards a Digital Twin Model for Predicting Renal Function Decline in Type 2 Diabetes Using Longitudinal Electronic Health Records

Content hubs, information flows, and reactions for pesticide-related discussions on Twitter/X

Identifying progression subphenotypes of Alzheimer’s disease from large-scale electronic health records with machine learning

Identifying Alzheimer's Disease Progression Subphenotypes via a Graph-based Framework using Electronic Health Records.

Early Time Series Anomaly Prediction With Multi-Objective Optimization

Graph contrastive learning as a versatile foundation for advanced scRNA-seq data analysis

Glucagon‐Like Peptide‐1 Receptor Agonists and Risk of Parkinson's Disease in Patients with Type 2 Diabetes: A Population‐Based Cohort Study

A fair individualized polysocial risk score for identifying increased social risk in type 2 diabetes

Heterogeneous treatment effects of sodium‐glucose cotransporter 2 inhibitors on risk of dementia in people with type 2 diabetes: A population‐based cohort study

Develop and validate a computable phenotype for the identification of Alzheimer's disease patients using electronic health record data

Collaborators (12)

Vivian Fonseca

Yonghui Wu

Hao Dai

Ronald Ison

Jingchuan Guo

Fuyi Li

Michelle Alvarado

Xin Ma

Li Chen

Wenxi Huang

Jiang Bian

Melissa Armstrong

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