Faculty profile

Michael Brudno

ResearcherComputer ScienceUniversity of Toronto

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.

Michael Brudno

Researcher

Computer Science

Health Sciences

University of Toronto

Toronto, Ontario, Canada

Supervision signals

Has led research grants, which requires an independent research appointment. Ask their department whether they supervise graduate students.
35 publications in the last five years, latest in 2026.
Senior (last) author on 5 recent papers, a sign of leading a research group.
Principal investigator on 13 research grants (8 NSERC, 5 CIHR), most recently in 2025.

These signals come from public records, including CIHR, NSERC and SSHRC funding decisions. Ask the professor or the graduate program whether they are taking new students.

Academic metrics

122

Publications

1,200

Citations

h-index

125

Collaborators

Grants

Publications by year

Counts cover the works listed on the university profile; citation counts come from Dimensions.

Profiles and links

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Signals and details

Research

Bioinformatics Imaging Mass Cytometry Liver Transplant Machine Learning Risk Prediction Artificial Intelligence Equity Ethics

Latest papers

Development of an artificial intelligence based virtual tool for measuring distances during image-guided surgery.
Surgical endoscopy · 2026
Validation of a machine learning model for predicting early deterioration in the emergency department.
The American journal of emergency medicine · 2026
The GENIE Data Model: A Solid Tumor, Person-Centric Framework for Scalable, Harmonized Precision Oncology Data Collection.
Cancer research communications · 2026

All 122 publications

Latest funding

DynaGraft: Development of a Prognostic Multimodal AI tool for Graft Fibrosis in Liver Transplantation
CIHR · 2025 · Principal investigator
$933,300
Team Liver AI - Building the Framework to Tackle the Inequities of Access to and Outcomes for People Needing Liver Transplant in Canada
CIHR · 2024 · Co-investigator
$1,998,157
Team Liver AI - Building the Framework to Tackle the Inequities of Access to and Outcomes for People Needing Liver Transplant in Canada
CIHR · 2024 · Principal investigator
$20,000

All 31 grants and awards

122 publications.

Development of an artificial intelligence based virtual tool for measuring distances during image-guided surgery.

Kwok R, Yoshida T, Hunter J, Laplante S, Brudno M, Fecso A, Okrainec A, Madani A

Surgical endoscopy2026

DOI: 10.1007/s00464-025-12461-2 PMID: 41366573

Validation of a machine learning model for predicting early deterioration in the emergency department.

Lee YR, Ruffolo I, Mashouri P, Brudno M, Ben-Yakov M

The American journal of emergency medicine2026

DOI: 10.1016/j.ajem.2026.05.007 PMID: 42184774

The GENIE Data Model: A Solid Tumor, Person-Centric Framework for Scalable, Harmonized Precision Oncology Data Collection.

Hoppe JN, Lee J, Akinyemiju TF, Bitterman DS, Brudno M, Green MF, Huser V, Lipson JA, Mishra S, Nussbaum DP, Patel JN, Petkov VI, Rasmussen KM, Sirintrapun SJ, Spears PA, Van Sandijk S, Meyer AM, Topaloglu U, Warner JL

Cancer research communications2026

DOI: 10.1158/2767-9764.crc-26-0148 PMID: 42658634

Personalized survival benefit estimation from living donor liver transplantation with a novel machine learning method for confounding adjustment.

Gangadhar A, Hasjim BJ, Zhao X, Sun Y, Chon J, Sidhu A, Jaeckel E, Selzner N, Cattral MS, Sayed BA, Brudno M, McIntosh C, Bhat M

Journal of hepatology2025

DOI: 10.1016/j.jhep.2025.04.040 PMID: 40446930

One-Sided Matching Portal (OSMP): A Tool to Facilitate Rare Disease Patient Matchmaking.

Osmond M, Price EM, Buske OJ, Frew M, Couse M, Hartley T, Klamann C, Le HGBH, Xu J, So D, Jain A, Lu K, Mo K, Wyllie H, Wall E, Driver HG, Cheung WA, Cohen ASA, Farrow EG, Thiffault I, Consortium CRC, Turinsky AL, Pastinen T, Brudno M, Boycott KM

Human mutation2025

DOI: 10.1155/humu/5941599 PMID: 41103356

Artificial intelligence applied to 'omics data in liver disease: towards a personalised approach for diagnosis, prognosis and treatment.

Ghosh S, Zhao X, Alim M, Brudno M, Bhat M

Gut2025

DOI: 10.1136/gutjnl-2023-331740 PMID: 39174307

Modelling the liver's regenerative capacity across different clinical conditions.

Nguyen-Lefebvre AT, Ghosh S, Baciu C, Hasjim BJ, Naimimohasses S, Oldani G, Pasini E, Brudno M, Selzner N, Wrana J, Bhat M

JHEP reports : innovation in hepatology2025

DOI: 10.1016/j.jhepr.2025.101465 PMID: 40704068

Assessing the diagnostic impact of blood transcriptome profiling in a pediatric cohort previously assessed by genome sequencing.

Hou H, Yuki KE, Costain G, Szuto A, Barnes S, Ramani AK, Celik A, Braga M, Gloven-Brown M, Stavropoulos DJ, Bowdin S, Cohn RD, Mendoza-Londono R, Scherer SW, Brudno M, Marshall CR, Stephen Meyn M, Shlien A, Dowling JJ, Wilson MD, Kyriakopoulou L

NPJ genomic medicine2025

DOI: 10.1038/s41525-025-00505-4 PMID: 40593860

Using machine learning for personalized prediction of longitudinal coronavirus disease 2019 vaccine responses in transplant recipients.

Azarfar G, Sun Y, Pasini E, Sidhu A, Brudno M, Humar A, Kumar D, Bhat M, Ferreira VH, PREVenT Study Group, PREVenT-COVID Group investigators, PREVenT-COVID Group coordinators

American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons2025

DOI: 10.1016/j.ajt.2024.11.033 PMID: 39643006

High-fidelity measurement of pulse arrival time in critically ill children using standard bedside monitoring equipment.

Ruffolo I, Siddiqui A, Nguyen B, Dixon W, Assadi A, Greer R, Schwartz S, Brudno M, Mariakakis A, Goodwin A

Physiological measurement2025

DOI: 10.1088/1361-6579/ae1b70 PMID: 41187451

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Michael Brudno

Research

Latest papers

Latest funding

Development of an artificial intelligence based virtual tool for measuring distances during image-guided surgery.

Validation of a machine learning model for predicting early deterioration in the emergency department.

The GENIE Data Model: A Solid Tumor, Person-Centric Framework for Scalable, Harmonized Precision Oncology Data Collection.

Personalized survival benefit estimation from living donor liver transplantation with a novel machine learning method for confounding adjustment.

One-Sided Matching Portal (OSMP): A Tool to Facilitate Rare Disease Patient Matchmaking.

Artificial intelligence applied to 'omics data in liver disease: towards a personalised approach for diagnosis, prognosis and treatment.

Modelling the liver's regenerative capacity across different clinical conditions.

Assessing the diagnostic impact of blood transcriptome profiling in a pediatric cohort previously assessed by genome sequencing.

Using machine learning for personalized prediction of longitudinal coronavirus disease 2019 vaccine responses in transplant recipients.

High-fidelity measurement of pulse arrival time in critically ill children using standard bedside monitoring equipment.

Integrating Human and Artificial Intelligence for Better Patient Care

Frequent collaborators

Rosanna Weksberg

Taila Hartley

Cynthia Hawkins

Mamatha Bhat

David Chitayat

Anna Goldenberg

Eric Bouffet

Uri Tabori

Guillaume Bourque

Adam Shlien

David Malkin

Parisa Shooshtari

Sarah Bowdin

Devin Singh

Jean Michaud

Ute Bartels

Gregory Costain

Yann Joly

Nada Jabado

Vijay Ramaswamy

Chris McIntosh

Melanie Barwick

Evdokia Anagnostou

Nazia Selzner

Anne-Claude Gingras

Resham Ejaz

Andrew Arnold

Ravi Retnakaran

Geoffrey Liu

John Kingdom

Charles Boone

Jennifer Stinson

Janet Raboud

David Dyment

Seema Mital

François Rousseau

James Ellis

Heather Ross

Quaid Morris

Mathieu Lupien