Dr. Bo Wang is a tenure-track Assistant Professor in the Departments of Computer Science and Laboratory Medicine & Pathobiology at the University of Toronto. He is the inaugural Temerty Professor in AI Research and Education in Medicine. Dr. Wang is the Chief AI scientist at the University Health Network, the largest research hospital in Canada. He also holds a CIFAR AI Chair at Vector Institute. Dr. Wang obtained his PhD from the Department of Computer Science at Stanford University in 2017. Dr. Wang’s research focuses on machine learning, computational biology, and computer vision, with a particular emphasis on their applications in biomedicine. His significant contributions to these fields have led to his recognition through numerous esteemed awards, including the Gairdner Early Career Researcher Award and the Canada Research Chair Award.
Chief Artificial Intelligence (AI) Scientist, University Health Network
Assistant Professor, Department of Laboratory Medicine & Pathobiology, University of Toronto
Canada CIFAR Artificial Intelligence Chair
Research Interests
- Machine Learning
- Computational Biology
- Computer Vision
Publications
Generative AI could revolutionize health care — but not if control is ceded to big tech
2023
Deep learning for automatic organ and tumor segmentation in nanomedicine pharmacokinetics
2024
A radiographic score for human donor lungs on ex vivo lung perfusion predicts transplant outcomes
2024
Segment anything in medical images
2024
DeepVelo: Deep Learning extends RNA velocity to multi-lineage systems with cell-specific kinetics
2022
Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays
2022
Whole-genome sequencing reveals host factors underlying critical COVID-19
2022
Cell transcriptomic atlas of the non-human primate Macaca fascicularis
2022
Artificial intelligence for the echocardiographic assessment of valvular heart disease
2022
Colony stimulating factor-1 producing endothelial cells and mesenchymal stromal cells maintain monocytes within a perivascular bone marrow niche
2022
A sequence-to-sequence approach for document-level relation extraction
2022
BIONIC: biological network integration using convolutions
2022
Comparison of machine learning and the regression-based EHMRG model for predicting early mortality in acute heart failure
2022
The promise of machine learning applications in solid organ transplantation
2022
Factors associated with SARS-CoV-2 test positivity in long-term care homes: a population-based cohort analysis using machine learning
2022
A biomarker assay to risk-stratify patients with symptoms of respiratory tract infection
2022
A graph neural network approach for molecule carcinogenicity prediction
2022
One Cell At a Time (OCAT): a unified framework to integrate and analyze single-cell RNA-seq data
2022
Use of wearable technology and deep learning to improve the diagnosis of Brugada syndrome
2022
Using Deep Convolutional Neural Networks to Automate Classification of Carotid Plaques from Ultrasound Imaging
2022
Machine learning as a new frontier in mitral valve surgical strategy
2022
DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks
2023
NodeCoder: a graph-based machine learning platform to predict active sites of modeled protein structures
2023
Interpretable machine learning for automated left ventricular scar quantification in hypertrophic cardiomyopathy patients
2023
scGPT: Towards Building a Foundation Model for Single-Cell Multi-omics Using Generative AI
2023
scFormer: A Universal Representation Learning Approach for Single-Cell Data Using Transformers
2022
The differential impacts of dataset imbalance in single-cell data integration
2022
Standardized Radiographic Evaluation of Human Donor Lungs During Ex Vivo Lung Perfusion Predicts Lung Injury and Lung Transplant Outcomes
2022
The Inclusion of Biomarker Scoring During Ex-Vivo Lung Perfusion Can Improve Organ Utilization and Patient Outcomes-A Retrospective, Single Center Study
2022
InsighTx: A Machine-Learning Model That Accurately Predicts Transplant Outcomes During Ex Vivo Lung Perfusion
2022