This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a Western University directory, so their courses may be missing. Find their university profile.
Research
Read how they describe their research on their Western University profile.
Latest papers
Deep Learning Protocols for Predicting Drug Mechanism of Action and Drug-Target Interactions.
Methods in molecular biology (Clifton, N.J.) · 2027 · senior author
Human mesenchymal stromal cell extracellular vesicles maintain therapeutic miRNA cargo despite exposure to cystic fibrosis bronchoalveolar lavage fluid.
Cytotherapy · 2026
Toward Imbalanced Molecular Property Regression: A Benchmark Study and Interval-Aware Mixture of Experts.
Journal of chemical information and modeling · 2026 · senior author
Latest funding
- $1,154,386
AI-Assisted Multimodal Imaging for Joint Damage Assessment, Flare Prediction, and Personalized Management of Rheumatoid Arthritis
CIHR · 2026 · Nominated PI
- $120,000
Harnessing Cross-Biobank Genomic and Microbiome Data for AI-Accelerated Antibiotic Discovery in IBD
CIHR · 2025 · Supervisor
- $120,000
AI-Driven De Novo Design of Pin1 Inhibitors for Precision Treatment of Triple-Negative Breast Cancer
CIHR · 2025 · Supervisor
37 publications.
Deep Learning Protocols for Predicting Drug Mechanism of Action and Drug-Target Interactions.
Sun Y, Liu C, Jing Z, Li YY, Hu P
Human mesenchymal stromal cell extracellular vesicles maintain therapeutic miRNA cargo despite exposure to cystic fibrosis bronchoalveolar lavage fluid.
Rolandsson Enes S, Hampton TH, Barua J, Mui Z, Tertel T, Giebel B, McKenna DH, Hu P, Ashare A, Stanton BA, Dos Santos CC, Weiss DJ
Toward Imbalanced Molecular Property Regression: A Benchmark Study and Interval-Aware Mixture of Experts.
Sun Y, Shi Y, Deng A, Jing Z, Leung C, Hu P
Spatially guided translation from histology images to transcriptomic profiles using foundation model-driven contrastive learning.
Huang ZH, Xu Z, Hu P
Systemic and Local Adiposity in the Bone Marrow Microenvironment Associated With Improved Prognosis in Hodgkin Lymphoma: Imaging and Molecular Analysis.
Matos A, Cawthorn WP, Marinho-Dias J, Ramalheira S, Roncon S, Pereira D, Ribeiro T, Rodrigues C, Mariz M, Miranda A, Brízido H, Bicho M, Medeiros P, Carneiro A, Trigo F, Hu P, Pereira F, Duarte H, Gray CD, Macgillivray T, Ramsay AG, Oliveira MJ, Ribeiro R
Deep Unsupervised Domain Adaptation for Translating Cancer Dependency Maps From Cell Lines to Breast Cancer Tumor Genomics.
Shi Y, Xu W, Hu P
Heterozygous Nonsense Mutation in the Nuclear Transport Factor KPNA7, a Maternal Factor Active in Embryonic Tissues, Causes Autosomal Dominant Otosclerosis.
Benteau T, Abdelfatah N, Griffin A, Penney C, Hu P, Stanton SG, Zhai G, Maheu M, French CR, Young TL
A copula-infused graph neural network for cell type classification in single-cell RNA sequencing data.
Min S, Lac L, Hu P
GraphBAN: An inductive graph-based approach for enhanced prediction of compound-protein interactions.
Hadipour H, Li YY, Sun Y, Deng C, Lac L, Davis R, Cardona ST, Hu P
Enhanced Interpretable Neural Network Approach for Unified Batch Effect Mitigation and Disease Classification Using Cross-Cohort Microbiome Profiles.
Fung DLX, Khan MW, Leung CK, Hu P
AI-Assisted Multimodal Imaging for Joint Damage Assessment, Flare Prediction, and Personalized Management of Rheumatoid Arthritis
Principal investigators: Hu, Pingzhao; Hitchon, Carol A; O'Neil, Liam J; Pope, Janet E
Keywords: Ai Agent; Deep Learning; Flare; Joint Damage; Joint Inflammation; Large Language Model; Multimodal Imaging; Rheumatoid Arthritis; Thermal Imaging; X-Ray Imaging
Harnessing Cross-Biobank Genomic and Microbiome Data for AI-Accelerated Antibiotic Discovery in IBD
Principal investigators: Janarthanan, Sugitha
Keywords: Artificial Intelligence; Bioinformatics; Disease Biomarkers; Drug Discovery; Inflammatory Bowel Disease
AI-Driven De Novo Design of Pin1 Inhibitors for Precision Treatment of Triple-Negative Breast Cancer
Principal investigators: Li, Yan Yi
Keywords: Admet Prediction; Ai-Driven Drug Discovery; Generative Modeling; Molecular Docking And Dynamics Simulations; Multi-Objective Optimization; Pin1 Inhibitor Design; Precision Oncology; Structure-Based De Novo Drug Design; Translational Breast Cancer Research; Triple-Negative Breast Cancer (Tnbc)
AI-Driven Platform for Large-Scale Screening, Analysis, and Experimental Validation: Targeting Pin1 for Precision Drug Discovery in Triple-Negative Breast Cancer
Principal investigators: Hu, Pingzhao; Kerr, Michael A; Lu, Kun Ping
Keywords: Data Integration; Drug Design; Drug Discovery Platform; In Vitro And In Vivo Experimental Validation; Machine Learning; Pin1 Inhibitors; Triple Negative Breast Cancer; Virtual Screening
Discovery and Development of Pin1 inhibitors using generative AI
Principal investigators: Hu, Pingzhao
Keywords: Breast Cancer
Physics-aware Reinforcement Learning-guided Quantum Flow Matching Model for 3D De Novo Inhibitor Design
Principal investigators: Hu, Pingzhao
Keywords: Information, computer and communication technologies; Medical and health sciences
Optimizing Drug Combinations in Triple Negative Breast Cancer through A Graph Neural Network Approach for Enhanced Predictive Modeling
Principal investigators: OLOULADE, BABATOUNDE MOCTARD
Keywords: Breast Cancer; Drug Combinations; Drug Discovery Applications; Graph Mamba Network; Molecular Graph Representation; Multimodal Data Integration; Neural Architecture Search; Reinforcement Learning
Discovery and Development of Pin1 inhibitors using generative AI
Principal investigators: Hu, Pingzhao
Keywords: Life sciences (including biotechnology); Human health (including medically-related psychological research)
Predicting Risks for Rheumatoid Arthritis Using Generative Artificial Intelligence
Principal investigators: Hu, Pingzhao
Keywords: Ai Interpretability; Denoising Diffusion Probabilistic Models; Disease Biomarkers; Disease Risk Prediction; Generative Ai; Genome-Wide Association Studies; Knockoff Inference; Polygenic Risk Score; Statistical Genetics
An Interpretable and Inclusive AI Framework for COVID-19 Biomarker Discovery and Risk Prediction
Principal investigators: Wade, Kaitlyn E
Keywords: Artificial Intelligence; Bioinformatics; Biostatistics; Complex Diseases; Disease Biomarkers; Genome Wide Association Studies; Knockoff Inference; Polygenic Risk Score; Risk Prediction; Statistical Genetics
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Biostatistics Division
- Biochemistry
- Oral Biology
- Research Institute
- Department of Medicine
- Epidemiology Division
- Biomedical Sciences
- Other
Co-authors at Western University, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
Pingzhao Hu
Biostatistics Division
10 shared papers, latest 2026
Prashen Chelikani
Oral Biology
5 shared papers, latest 2025
Wei Xu
Biostatistics Division
3 shared papers, latest 2026
Liam O'Neil
Internal Medicine
1 shared papers, latest 2023
Anna Heath
Faculty
1 shared papers, latest 2024
Derek Jonker
Department of Medicine
1 shared papers, latest 2023
Yongdong Ouyang
Biostatistics Division
1 shared papers, latest 2024
Terry-Lynn Young
School of Communication Sciences and Disorders
1 shared papers, latest 2026
Geoffrey Liu
Epidemiology Division
1 shared papers, latest 2023
Guangju Zhai
Biomedical Sciences
1 shared papers, latest 2026
Brian Raught
Research Institute
1 shared papers, latest 2023
Leigh Murphy
Manitoba Institute of Cell Biology
1 shared papers, latest 2023
Laurent Brochard
Critical Care Medicine
1 shared papers, latest 2024
Kyla Sask
Materials Science and Engineering
1 shared papers, latest 2025
Anna Heath
Biostatistics Division
1 shared papers, latest 2024
Karen Burns
Health Research Methods, Evidence, and Impact
1 shared papers, latest 2024
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