Chunhua Weng

From GPT to DeepSeek: Significant gaps remain in realizing AI in healthcare

Leveraging long context in retrieval augmented language models for medical question answering

Environment scan of generative AI infrastructure for clinical and translational science

Achieving a rapid and continuous learning health system requires socio-technical harmonization of research and operational IT

Selection, optimization and validation of ten chronic disease polygenic risk scores for clinical implementation in diverse US populations

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

Closing the gap between open source and commercial large language models for medical evidence summarization

A Survey of Clinicians' Views of the Utility of Large Language Models

Leveraging generative AI for clinical evidence synthesis needs to ensure trustworthiness

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

Evaluating large language models on medical evidence summarization

Strong protective effect of the APOL1 p.N264K variant against G2-associated focal segmental glomerulosclerosis and kidney disease

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

Risk factors affecting polygenic score performance across diverse cohorts

Genome-wide polygenic score to predict chronic kidney disease across ancestries

Genetic regulation of serum IgA levels and susceptibility to common immune, infectious, kidney, and cardio-metabolic traits

Polygenic risk vectors (PRV) improve genetic risk stratification for cardio-metabolic diseases

Hypertension prevalence in the All of Us Research Program among groups traditionally underrepresented in medical research

Modelling kidney disease using ontology: insights from the Kidney Precision Medicine Project

Charting the life course: Emerging opportunities to advance scientific approaches using life course research

Genomic Information for Clinicians in the Electronic Health Record: Lessons Learned From the Clinical Genome Resource Project and the Electronic Medical Records and Genomics Network

Semi-supervised learning to improve generalizability of risk prediction models

Missense variants in <i>TAF1</i> and developmental phenotypes: Challenges of determining pathogenicity

Empowering genomic medicine by establishing critical sequencing result data flows: the eMERGE example

A survey of practices for the use of electronic health records to support research recruitment

A Harmonized Data Quality Assessment Terminology and Framework for the Secondary Use of Electronic Health Record Data