Ping Zhang

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Ohio State University

United States

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Recent Grants

Grant: Open

CAREER: Developing Actionable Methods for Observational Health Data

Open Date: 2022-04-01

Close Date: 2027-03-31

Grant: Close

A Statistical Network Pharmacology Approach for Early Detection of Adverse Drug Events

Open Date: 2021-09-15

Close Date: 2024-08-31

Grant: Close

SenSE: Multimodal Biosensors and Data driven Methods for Explainable Analytics for a Proactive approach to Heart Failure Care

Open Date: 2020-10-01

Close Date: 2023-09-30

Grant: Close

SenSE: Multimodal Biosensors and Data driven Methods for Explainable Analytics for a Proactive approach to Heart Failure Care

Open Date: 2020-10-01

Close Date: 2023-09-30

Articles (24)

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Collaborators (9)

Courtney Hebert

UNITED STATES

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Yali Jia

Associate Professor

Oregon Health & Science University

UNITED STATES

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Paul D. Juarez

Meharry Medical College

UNITED STATES

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Joshua Joseph

Assistant Professor of Medicine

The Ohio State University College of Medicine

UNITED STATES

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Kevin Coombes

Professor

Georgia Cancer Center at Augusta University

UNITED STATES

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Gareth McKay

Reader

The Queen's University Belfast

UNITED KINGDOM

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Michael Wesley Milks

The Ohio State University College of Medicine

UNITED STATES

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Ruth Hogg

The Queen's University Belfast

UNITED KINGDOM

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Macarius M. Donneyong

Associate Professor

Ohio State University

UNITED STATES

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Ping Zhang

Research Interests

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Recent Grants

Articles (24)

A deep learning system for detecting silent brain infarction and predicting stroke risk

An eyecare foundation model for clinical assistance: a randomized controlled trial

Domain Invariant Representation Learning and Sleep Dynamics Modeling for Automatic Sleep Staging

A Drug Similarity-Based Bayesian Method for Early Adverse Drug Event Detection

A Proactive Agent Collaborative Framework for Zero‐Shot Multimodal Medical Reasoning

MedVH: Toward Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context

An adaptive AI-based virtual reality sports system for adolescents with excess body weight: a randomized controlled trial

MHFNet: A Multimodal Hybrid-Embedding Fusion Network for Automatic Sleep Staging

Opioid and stimulant co-prescribing: our efforts and remaining open questions—authors' reply

The recent trend of twin epidemic in the United States: a 10-year longitudinal cohort study of co-prescriptions of opioids and stimulants

SSM-Net: Semi-supervised multi-task network for joint lesion segmentation and classification from pancreatic EUS images

CURE: A deep learning framework pre-trained on large-scale patient data for treatment effect estimation

Multimodal risk prediction with physiological signals, medical images and clinical notes

Stable clinical risk prediction against distribution shift in electronic health records

Estimating treatment effects for time-to-treatment antibiotic stewardship in sepsis

A fair and interpretable network for clinical risk prediction: a regularized multi-view multi-task learning approach

TMM-Nets: Transferred Multi- to Mono-Modal Generation for Lupus Retinopathy Diagnosis

The application of artificial intelligence in the management of sepsis

Review of applied health informatics courses in a multidisciplinary biomedical informatics department

Mixed-Weight Neural Bagging for Detecting $m^6A$ Modifications in SARS-CoV-2 RNA Sequencing

A pharmacovigilance study of pharmacokinetic drug interactions using a translational informatics discovery approach

Chemical-induced gene expression ranking and its application to pancreatic cancer drug repurposing

mHealth Interventions for Self-management of Hypertension: Framework and Systematic Review on Engagement, Interactivity, and Tailoring

Examining the Drivers of Racial/Ethnic Disparities in Non-Adherence to Antihypertensive Medications and Mortality Due to Heart Disease and Stroke: A County-Level Analysis

Collaborators (9)

Courtney Hebert

Yali Jia

Paul D. Juarez

Joshua Joseph

Kevin Coombes

Gareth McKay

Michael Wesley Milks

Ruth Hogg

Macarius M. Donneyong

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