Chunhua Weng

Columbia University

United States

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Articles (20)

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2024

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Collaborators (15)

Rebecca Schnall

Columbia University

UNITED STATES

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Suzanne M. Leal

UNITED STATES

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Nicholas Tatonetti

Vice Chair and Associate Professor

Cedars-Sinai Medical Center

UNITED STATES

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Krzysztof Kiryluk

Columbia University

UNITED STATES

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Justin Rousseau

Associate Professor

University of Texas Southwestern Medical Center

UNITED STATES

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Ning Shang

Columbia University

UNITED STATES

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Karthik Natarajan

Columbia University Irving Medical Center

UNITED STATES

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Jason Zucker

Columbia University Irving Medical Center

UNITED STATES

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Leah Kottyan

Associate Professor

Cincinnati Children's Hospital Medical Center

UNITED STATES

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Andrew DeWan

Associate Professor of Epidemiology (Chronic Diseases)

Yale School of Public Health

UNITED STATES

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Michael G Kahn

Emeritus Professor

University of Colorado Anschutz Medical Campus

UNITED STATES

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Theodore G. Drivas

UNITED STATES

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Hao Liu

Assistant Professor

Montclair State University

UNITED STATES

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Ali Soroush

Assistant Professor

Icahn School of Medicine at Mount Sinai

UNITED STATES

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John Lynch

Professor

University of Cincinnati

UNITED STATES

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Chunhua Weng

Research Interests

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Articles (20)

Digital biobanks are underutilized in dermatology and create opportunities to reduce the burden of skin disease

Fine-tuning large language models for rare disease concept normalization

Large language models in biomedicine and health: current research landscape and future directions

Converting OMOP CDM to phenopackets: A model alignment and patient data representation evaluation

Ethical considerations for artificial intelligence in dermatology: a scoping review

A span-based model for extracting overlapping PICO entities from randomized controlled trial publications

Sociotechnical feasibility of natural language processing-driven tools in clinical trial eligibility prescreening for Alzheimer’s disease and related dementias

Participant-guided development of bilingual genomic educational infographics for Electronic Medical Records and Genomics Phase IV study

Applying unsupervised machine learning approaches to characterize autologous breast reconstruction patient subgroups: an NSQIP analysis of 14,274 patients

Inference of Causal Relationships Between Genetic Risk Factors for Cardiometabolic Phenotypes and Female‐Specific Health Conditions

Clinical and temporal characterization of COVID-19 subgroups using patient vector embeddings of electronic health records

AI-generated text may have a role in evidence-based medicine

Inborn errors of immunity contribute to the burden of skin disease and create opportunities for improving the practice of dermatology

The suitability of UMLS and SNOMED-CT for encoding outcome concepts

A data-driven approach to optimizing clinical study eligibility criteria

Polygenic risk alters the penetrance of monogenic kidney disease

Risk Factors Associated With SARS-CoV-2 Breakthrough Infections in Fully mRNA-Vaccinated Individuals: Retrospective Analysis

Combining human and machine intelligence for clinical trial eligibility querying

Ontology-based categorization of clinical studies by their conditions

Identifying Data Quality Dimensions for Person-Generated Wearable Device Data: Multi-Method Study

Collaborators (15)

Rebecca Schnall

Suzanne M. Leal

Nicholas Tatonetti

Krzysztof Kiryluk

Justin Rousseau

Ning Shang

Karthik Natarajan

Jason Zucker

Leah Kottyan

Andrew DeWan

Michael G Kahn

Theodore G. Drivas

Hao Liu

Ali Soroush

John Lynch

Make your next move.