Overview

1. 1
   Machine learning for suicide risk prediction in children and adolescents with electronic health records.

   Translational psychiatry · 2020

   CSChang SuFWFei Wang

   PMID: 33243979·PMCID: PMC7693189·DOI·First author·153 citations·Abstract
2. 2
   Patterns of Social Determinants of Health and Child Mental Health, Cognition, and Physical Health.

   JAMA pediatrics · 2023

   YXYunyu XiaoFWFei WangCSChang Su

   PMID: 37843837·PMCID: PMC10580157·DOI·Senior author·96 citations·Abstract
3. 3
   Identification of Parkinson's disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data.

   NPJ digital medicine · 2024

   CSChang SuZXZhenxing XuHLHaoyang LiHZHaotan ZhangFWFei Wang

   PMID: 38982243·PMCID: PMC11233682·DOI·First author·43 citations·Abstract

• MPI

  Development of An Integrated Pipeline for Early PD Prediction and Disease Modifying Drug Repurposing

  National Institute of Neurological Disorders and Stroke · 2026–2031

  Abstract & 1 publication

  R01NS148533-01
• PI

  Progression Subtyping and Drug Target Identification for Parkinson's Disease with Integrative Machine Learning

  National Institute of Neurological Disorders and Stroke · 2024–2029

  Abstract & 4 publications

  R01NS140142-02
• Sub-PI

  Never Again: Advancing the Prevention of Recurrent Child Sexual Abuse

  Eunice Kennedy Shriver National Institute of Child Health and Human Development · 2024–2028 · via Temple University

  Abstract

  R01HD114586-02
• Co-I

  Understanding Sex-Specific Mechanisms of Amygdala dysfunction to Advance Tailored Therapies in PD

  Michael J. Fox Foundation for Parkinson's Research · 2026–2028

  MJFF-028026
• Co-I

  Disparities of Alzheimer's disease progression in sexual and gender minorities

  National Institute on Aging · 2023–2028 · via University of Florida

  Abstract & 5 publications

  R01AG080624-01
• Co-I

  Data-Driven Approach to Identify Determinants of Outcomes and Risk Factors of Cardiovascular Diseases in New York City Area

  Novartis Foundation · 2023–2027

  NF 231850-01
• Co-I

  Computational Drug Repurposing for AD/ADRD with Integrative Analysis of Real World Data and Biomedical Knowledge

  National Institute on Aging · 2022–2027

  Abstract & 6 publications

  R01AG076234-01
• Co-I

  Disentangling the Clinical Heterogeneity of Type 2 Diabetes with Integrative Analysis of Electronic Health Records and Biomedical Knowledge Graph Through Machine Learning

  National Institute of Diabetes and Digestive and Kidney Diseases · 2025–2026 · via University of California, San Diego

  Abstract

  U24DK097771-12S1

• PI

  Informing Sexual Abuse Recurrence Prevention with System Data Integration

  Temple University · OPEN TO ACCRUAL (as of 2025)
• PI

  Progression Subtyping and Drug Target Identification for Parkinson's Disease with Integrative Machine Learning

  Weill Medical College of Cornell University · OPEN TO ACCRUAL (as of 2024)
• PI

  Deciphering Neighborhood-level Consumption Patterns: Correlations with Socioeconomic Determinants of Health and Neurodegenerative Disease

  Weill Medical College of Cornell University · OPEN TO ACCRUAL (as of 2024)

• Machine Learning Helps Define New Subtypes of Parkinson’s Disease

  July 16, 2024

  Researchers at Weill Cornell Medicine have used machine learning to define three subtypes of Parkinson’s disease based on the pace at which the disease progresses.

• Big-Data Study Explores Social Factors Affecting Child Health

  November 20, 2023

  A team led by researchers at Weill Cornell Medicine has used an AI-based approach to uncover underlying patterns among the conditions in which people are born, grow, live, work, and age, termed social determinants of health (SDoH), and then linked each pattern to children’s health outcomes.

• CS

  Chengkun Sun

  Postdoc mentee · since 2026