This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of Toronto directory, so their courses and email address may be missing. Find their university profile.
Research
Latest papers
From performance to practice: knowledge-distilled segmentator for on-premises clinical workflows.
npj health systems · 2026
Generalist biological artificial intelligence in modeling the language of life.
Nature biotechnology · 2026
Digital twins of ex vivo human lungs enable accurate and personalized evaluation of therapeutic efficacy.
Nature biotechnology · 2026
Latest funding
- $661,724
BREATHe: B-type natriuretic peptides to reduce events and advance treatment in heart failure
CIHR · 2024 · Co-investigator
- $692,325
'Smart Ventilation' - Novel Real-Time Biosensors and Artificial Intelligence for Optimized Mechanical Ventilation in Human Lungs
CIHR · 2023 · Co-investigator
- $600,000
Canada Research Chair - Tier 2
CIHR · 2022 · Nominated PI
90 publications.
From performance to practice: knowledge-distilled segmentator for on-premises clinical workflows.
Lan Q, Choi A, Ma J, Wang B, Zhao Z, Jiang X, Hsu YC
Generalist biological artificial intelligence in modeling the language of life.
Rao VM, Zhang S, Plosky BS, Hsu PD, Wang B, Zou J, Zitnik M, Topol EJ, Rajpurkar P
Digital twins of ex vivo human lungs enable accurate and personalized evaluation of therapeutic efficacy.
Zhou X, Wang B, Wei Y, Hacker S, Kim S, Borrillo T, McCaig A, Ahmed H, Ren Y, Hough O, Orsini L, Chao BT, McInnis M, Cypel M, Liu M, Yeung JC, Del Sorbo L, Keshavjee S, Sage AT
Deep learning for H&E-based meningioma molecular classification and outcome prediction: a retrospective cohort study.
Landry AP, Nassiri F, Yefet LS, Lalchungnunga H, Shulman ED, Wang JZ, Ellenbogen Y, Gui C, Ajisebutu A, Patil V, Liu J, Wei Q, Singh O, Sosa J, Mansouri S, Ma S, Wang B, Vaubel R, Giannini C, Raghunathan A, Gao A, Ruppin E, Aldape K, Zadeh G
Orthrus: toward evolutionary and functional RNA foundation models.
Fradkin P, Shi RI, Dalal T, Isaev K, Frey BJ, Lee LJ, Morris Q, Wang B
Mamba-based deep learning approach for sleep staging on a wireless multimodal wearable system without electroencephalography.
Zhang AH, He-Mo A, Yin RF, Li C, Tang Y, Gurve D, van der Horst V, Buchman AS, Ghahjaverestan NM, Goubran M, Wang B, Lim ASP
Development and cross-site validation of machine-learning models for diagnosis and prognosis of stable angina with and without obstructive coronary artery disease: a study protocol.
Deng J, Patel SK, Fung M, Heybati K, Layard B, Wang B, Rubin B, Simard T, Hibbert B, Anderson T, Subasri V
Androgen activity in the male embryonic hindbrain drives lethal PFA ependymoma.
Zhang J, Ong W, Rasnitsyn A, Gonzalez RD, Lopez Gutierrez R, Balin P, Saadeldin A, Wu X, Vladoiu MC, Santa-Maria Lopez V, Gonzalez-Salinas F, Yadav N, Mohanakrishnan D, Boosi Narayana Rao K, Mooli RGR, Najem H, Pacheco S, Kharas K, Richman C, Przelicki D, Wang EY, Su H, Curry RN, Yang R, Kameda-Smith MM, Livingston B, Scott D, Luo Z, Xia M, Abeysundara N, Erickson AW, Mankahla N, Hu LZ, Pan C, Suarez R, Huang N, Wu Y, Wang H, Douglas T, Pallota J, Hébert S, Ng K, Mantione K, Whetstone H, Maan H, Lakkis H, Lee J, Ramakrishnan SK, Pei Y, Tang Y, Lin FY, Aldave G, Gallo M, Friedlander RM, Notta F, Donovan LK, Chintagumpala M, Wang B, Li Y, De Carvalho DD, Zhang Z, Mao Y, Hua W, Eberhart C, Lucas CG, Venneti S, Sorensen PH, Delaidelli A, Li H, Zhou W, Kirk J, Tang DG, Jiang T, Liu H, Lathia JD, Suzuki H, Rich JN, Stein LD, Jabado N, Ramaswamy V, Lu QR, Heimberger AB, Daniels C, Michealraj KA, Kleinman CL, Taylor MD
LUMI-lab: A foundation model-driven autonomous platform enabling discovery of ionizable lipid designs for mRNA delivery.
Xu Y, Cui H, Pang K, Li G, Gong F, Dong S, Wang B, Li B
Human haematopoietic stem cells remember inflammatory stress.
Zeng AGX, Nagree MS, Jakobsen NA, Shah S, Varesi A, Kang JRW, Murison A, Cheong JG, Turkalj S, Zhang X, Radtke FA, Abera TA, Lim INX, Jin L, Araújo J, Aguilar-Navarro AG, Parris D, McLeod J, Kim H, Lee HS, Zhang L, Boulanger M, Bader E, Gbeha E, Parkhurst CN, Wagenblast E, Flores-Figueroa E, Wang B, Schwartz GW, Shultz LD, Nam AS, Grimes HL, Josefowicz SZ, Awadalla P, Vyas P, Dick JE, Xie SZ
BREATHe: B-type natriuretic peptides to reduce events and advance treatment in heart failure
Principal investigators: Lee, Douglas S
Keywords: Heart Failure; Hospitalization; Laboratory Testing; Outcomes Research; Population Health; Prediction Modeling
'Smart Ventilation' - Novel Real-Time Biosensors and Artificial Intelligence for Optimized Mechanical Ventilation in Human Lungs
Principal investigators: Sage, Andrew T; Keshavjee, Shaf; Poudineh, Mahla
Keywords: Autonomous Ventilation; Biomarkers; Biotechnology; Ex Vivo Perfusion; Human Lung Physiology; Lung Transplantation; Machine Learning; Real-Time Biosensors
Canada Research Chair - Tier 2
Principal investigators: WANG, BO
Keywords: Crc
Machine learning for healthcare research
Principal investigators: Austin, Peter C
Keywords: Big Data; Machine Learning; Prediction Models; Risk Prediction
Advanced Artificial Intelligence for Human Ex Vivo Lung Perfusion using Digital Twins
Principal investigators: Sage, Andrew T; Keshavjee, Shaf; WANG, BO
Keywords: Artificial Intelligence; Biomarkers; Computer Modeling; Digital Twins; Ex Vivo Lung Perfusion; Interventional Diagnostics; Lung Transplantation
Addressing Inequity and Optimizing Prioritization in Liver Transplantation: Application of Artificial Intelligence to Improve Clinical Practice and Survival
Principal investigators: Bhat, Mamatha; Gopalkrishnan, Rahul
Keywords: Artificial Intelligence; Liver Transplantation
Artificial Intelligence for Public Health (AI4PH) Training Platform
Principal investigators: Rosella, Laura C; Anderson, Maureen; Buckeridge, David L; Fan, Lisa; Lee, Joon; Lix, Lisa M; Osgood, Nathaniel D
Keywords: Artificial Intelligence; Big Data; Decision Making; Health Equity; Machine Learning; Public Health; Social Determinants Of Health; Training
Addressing Inequity and Optimizing Prioritization in Liver Transplantation: Application of Artificial Intelligence to Improve Clinical Practice and Survival
Principal investigators: Bhat, Mamatha; WANG, BO; Xu, Wei
Keywords: Liver Transplantation
Deconvolving the cistrome of colon cancer metastasis using deep learning to integrate multi-modal single-cell genomics data
Principal investigators: Karimzadeh Reghbati, Mehran
Keywords: Colorectal Cancer Metastasis; Deep Learning; Epigenomics; Integrative Analysis; Single-Cell Genomics; Systems Biology
Integrative analysis of single-cell multi-omics data with interpretable deep learning methods
Principal investigators: Wang, Bo
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
- Thoracic Surgery
- Medicine
- Critical Care Medicine
- Transplant Program
- Department of Surgery
- Biochemistry & Biomedical Sciences
- Department of Laboratory Medicine and Pathobiology
- Other
Co-authors at University of Toronto, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
Anna Goldenberg
Critical Care Medicine
7 shared papers, latest 2025
Shaf Keshavjee
Thoracic Surgery
6 shared papers, latest 2026
Marcelo Cypel
Thoracic Surgery
5 shared papers, latest 2026
Mamatha Bhat
Transplant Program
5 shared papers, latest 2024
Mingyao Liu
Department of Surgery
5 shared papers, latest 2026
Andrew McArthur
Biochemistry & Biomedical Sciences
4 shared papers, latest 2024
Samira Mubareka
Department of Laboratory Medicine and Pathobiology
4 shared papers, latest 2024
Slava Epelman
Cardiology
4 shared papers, latest 2025
Bowen Li
Pharmaceutical Sciences
3 shared papers, latest 2026
Zhaolei Zhang
Terrence Donnelly Centre for Cellular and Biomolecular Research
3 shared papers, latest 2026
Lorenzo Del Sorbo
Faculty
3 shared papers, latest 2026
Filio Billia
Physiology
3 shared papers, latest 2022
George Tomlinson
Biostatistics Division
3 shared papers, latest 2023
Benjamin Haibe-Kains
Radiation Oncology/Medical Physics
3 shared papers, latest 2025
Karen Mossman
Medicine
3 shared papers, latest 2024
Fahad Razak
Health Policy and Management
2 shared papers, latest 2025
Mansoor Husain
Medicine
2 shared papers, latest 2025
Tereza Martinu
Toronto General Research Institute
2 shared papers, latest 2023
Finlay Maguire
Faculty
2 shared papers, latest 2024
Anthony Gramolini
Department of Physiology
2 shared papers, latest 2021
Barry Rubin
Vascular Surgery
2 shared papers, latest 2026
Michael Brudno
Computer Science
2 shared papers, latest 2024
Fahad Razak
General Internal Medicine
2 shared papers, latest 2025
Arinjay Banerjee
Vaccine and Infectious Disease Organization
1 shared papers, latest 2024
Elham Dolatabadi
Faculty
1 shared papers, latest 2025
Shahid Husain
Department of Medicine
1 shared papers, latest 2022
Yun Li
Department of Molecular Genetics
1 shared papers, latest 2026
Michael Sklar
Anesthesiology and Pain Management
1 shared papers, latest 2022
Elham Dolatabadi
Health Policy and Management
1 shared papers, latest 2025
Jennifer Chung
Faculty
1 shared papers, latest 2025
Divya Sharma
Biostatistics Division
1 shared papers, latest 2022
Farshad Nassiri
Faculty
1 shared papers, latest 2026
Cedric Manlhiot
Faculty
1 shared papers, latest 2025
Chris McIntosh
Department of Medical Biophysics
1 shared papers, latest 2020
Sean van Diepen
Medicine
1 shared papers, latest 2022
Amol Verma
Health Policy and Management
1 shared papers, latest 2024
Robert Kozak
Infectious Diseases
1 shared papers, latest 2021
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