Kenney Ng

Cambridge Scientific (United States) — United States

Computer Science · Physical Sciences

38h-index5.3kcitations176works5.42yr avg
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Research Topics

Machine Learning in Healthcare(36), Diabetes and associated disorders(30), Diabetes Management and Research(27), Pancreatic function and diabetes(27), Genetic Associations and Epidemiology(18)

Publications173 total

Multi‐View Biomedical Foundation Models for Molecule‐Target and Property Prediction
Advanced Science·2026· 5 citedOpen Access
PhysiOpt: Physics-Driven Shape Optimization for 3D Generative Models
2025Open Access
POS0785 EFFICACY OF IXEKIZUMAB IN RADIOGRAPHIC AXIAL SPONDYLOARTHRITIS PATIENTS WITH NORMAL AND ELEVATED CRP: A POOLED ANALYSIS OF PHASE III CLINICAL TRIALS
Annals of the Rheumatic Diseases·2025· 1 citedOpen Access
POS0699 BASELINE CHARACTERISTICS AND EFFICACY IN PATIENTS WITH RADIOGRAPHIC axSpA (r-axSpA) STRATIFIED BY CRP LEVEL: AN ANALYSIS FROM THE IXEKIZUMAB PHASE III TRIAL
Annals of the Rheumatic Diseases·2025· 1 citedOpen Access
Foundational model aided automatic high-throughput drug screening using self-controlled cohort study
2024· 1 citedOpen Access
Can metformin prevent cancer relative to sulfonylureas? A target trial emulation accounting for competing risks and poor overlap via double/debiased machine learning estimators
American Journal of Epidemiology·2024· 3 citedOpen Access
Data-Driven Phenotyping of Presymptomatic Type 1 Diabetes Using Longitudinal Autoantibody Profiles
Diabetes Care·2024· 8 citedOpen Access
Data-Driven Phenotyping of Presymptomatic Type 1 Diabetes Using Longitudinal Autoantibody Profiles
2024Open Access
Data-Driven Phenotyping of Presymptomatic Type 1 Diabetes Using Longitudinal Autoantibody Profiles
2024Open Access
LBA0002 EARLY (3-MONTH) AND MAINTAINED (12-MONTH) COMPARATIVE EFFECTIVENESS OF 5 DIFFERENT CLASSES OF ADVANCED THERAPIES IN A LARGE MULTINATIONAL COHORT OF REAL-WORLD PSA PATIENTS
Annals of the Rheumatic Diseases·2024
Noninvasive assessment of organ-specific and shared pathways in multi-organ fibrosis using T1 mapping
Nature Medicine·2024· 30 citedOpen Access
Deep learning of left atrial structure and function provides link to atrial fibrillation risk
Nature Communications·2024· 29 citedOpen Access
Patient Safety Indicators During the Initial COVID-19 Pandemic Surge in the United States
Journal of Patient Safety·2024
Estimating Heterogeneous Treatment Effects on Survival Outcomes Using Counterfactual Censoring Unbiased Transformations
arXiv (Cornell University)·2024Open Access
Bias formulas for violations of proximal identification assumptions in a linear structural equation model
Journal of Causal Inference·2024Open Access
Latent Space Explorer: Visual Analytics for Multimodal Latent Space Exploration
arXiv (Cornell University)·2023· 2 citedOpen Access
Efficient estimation of weighted cumulative treatment effects by double/debiased machine learning
arXiv (Cornell University)·2023· 1 citedOpen Access
Exploring the link between Gilbert’s syndrome and atherosclerotic cardiovascular disease: insights from a subpopulation-based analysis of over one million individuals
European Heart Journal Open·2023· 3 citedOpen Access
Cross-modal autoencoder framework learns holistic representations of cardiovascular state
Nature Communications·2023· 77 citedOpen Access
Genetics of myocardial interstitial fibrosis in the human heart and association with disease
Nature Genetics·2023· 76 citedOpen Access
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Frequent Co-authors

Patrick T. Ellinor(16), Amit V. Khera(15), Anthony Philippakis(15), Puneet Batra(9), Minxian Wang(8), James P. Pirruccello(8), Aniruddh P. Patel(7), Steven A. Lubitz(7), Deanna Brockman(6), Marcus D. R. Klarqvist(6), Seung Hoan Choi(6), Walter F. Stewart(6), Akl C. Fahed(5), Uri Kartoun(5), Bum Chul Kwon(5), Krishna G. Aragam(5), Sam Friedman(5), Shaan Khurshid(5), Matthew S. Lebo(4), Sean J. Jurgens(4)