Faculty profile

Michael Brudno

ResearcherDepartment of Computer 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

Department of Computer Science

Faculty of Arts and Science

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 15 research grants (8 NSERC, 7 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

123

Collaborators

Grants

Publications by year

Counts cover the publications linked to this profile. Citations and the h-index appear when the source records them.

Profiles and links

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Signals and details

Research

Machine Learning Clinical User Interfaces Computational Medicine Decision Support Human Computer Interaction Bioinformatics Imaging Mass Cytometry Liver Transplant

Latest papers

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
Development of an artificial intelligence based virtual tool for measuring distances during image-guided surgery.
Surgical endoscopy · 2026

All 122 publications

Latest funding

Strategy for Building Bioinformatics Capacity with AI coding tools
CIHR · 2025 · Co-investigator
$9,480
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

All 36 grants and awards

122 publications.

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

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

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

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

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

Approaches to identify scenarios for data science implementations within healthcare settings: recommendations based on experiences at multiple academic institutions.

Sung L, Brudno M, Caesar MCW, Verma AA, Buchsbaum B, Retnakaran R, Giannakeas V, Kushki A, Bader GD, Lasthiotakis H, Mamdani M, Strug L

Frontiers in digital health2025

DOI: 10.3389/fdgth.2025.1511943 PMID: 40161559

Strategy for Building Bioinformatics Capacity with AI coding tools

Co-investigatorCIHR2025Planning and Dissemination Grant - Institute Community Support

Principal investigators: Brazas, Michelle D

Keywords: Ai Coding Assistant Tools; Bioinformatics Skill Development; Education Pedagogy; Preparing Trainees For Modern Work Environment; Short Format Skill Development; Skill Development Strategy; Trainees And Early Career Researchers; Using Ai To Improve Inclusivity, Diversity, Equity & Access

$9,480

DynaGraft: Development of a Prognostic Multimodal AI tool for Graft Fibrosis in Liver Transplantation

Principal investigatorCIHR2025Project Grant

Principal investigators: Bhat, Mamatha; Brudno, Michael; Sharma, Divya

Keywords: Imaging Mass Cytometry; Liver Transplant; Machine Learning; Risk Prediction

$933,300

Team Liver AI - Building the Framework to Tackle the Inequities of Access to and Outcomes for People Needing Liver Transplant in Canada

Co-investigatorCIHR2024Team Gr.: Embr. Diversity to Achieve Precision/Health Equity-Infection/Immunity

Principal investigators: Bhat, Mamatha; Flemming, Jennifer A; Gongal, Patricia; Gopalkrishnan, Rahul; Sharma, Divya

Keywords: Artificial Intelligence; Cirrhosis; Equity; Ethics; Liver Transplantation; Organ Allocation

$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

Principal investigatorCIHR2024Team Gr.: Emb. Diversity to Achieve Precision/Health Eq-Infection & Immunity-LOI

Principal investigators: Bhat, Mamatha; Brudno, Michael; Gopalkrishnan, Rahul; Hirschfield, Gideon M

Keywords: Artificial Intelligence; Equity; Ethics; Liver Transplantation; Organ Allocation; Personalized Care

$20,000

Transforming Sepsis Care: Robust prediction and decision making leveraging the Social Determinants of Health

Co-investigatorCIHR2024Team Grant: Embracing Diversity to Achieve Precision & Health Equity - Aging

Principal investigators: Gopalkrishnan, Rahul; Razak, Fahad; Richard, Lucie; Siddiqi, Arjumand; Verma, Amol

Keywords: Equity In Predictive Models; Machine Learning/Artificial Intelligence In Healthcare; Sepsis; Social Determinants Of Health

$1,996,903

The Pan-Canadian Genome Library (PCGL)

Principal investigatorCIHR2023Team Grant: Pan-Canadian Human Genome Library

Principal investigators: Bourque, Guillaume; Boycott, Kym M; Scherer, Stephen W; Bhérer, Claude; Brazas, Michelle D; Brudno, Michael; Caron, Nadine R; Courtot, Mélanie; Ferretti, Vincent; Joly, Yann; Jones, Steven; Lerner-Ellis, Jordan P; Stedman, Ian; Stein, Lincoln; Wasserman, Wyeth W; Zawati, Ma'n Hilmi M.

Keywords: Clinical Trials; Data Diversity; Data Standards; Database; Federated Network; Genetic Variants; Genetics; Genomics; Human Genomes; Portals

$14,940,000

Integrating Human and Artificial Intelligence for Better Patient Care

Principal investigatorNSERC2023Discovery Grants Program - Individual

Principal investigators: Brudno, Michael

Keywords: computational medicine; human computer interaction; machine learning; clinical user interfaces; decision support

$92,000

Addressing Inequity in Liver Transplantation: Application of Artificial Intelligence to Optimize Prioritization on the Waitlist

Co-investigatorCIHR2023Project Grant

Principal investigators: Bhat, Mamatha; Gopalkrishnan, Rahul; Hirschfield, Gideon M

Keywords: Artificial Intelligence; Equity; Liver Transplantation; Waitlist Prioritization

$745,875

Addressing Inequity and Optimizing Prioritization in Liver Transplantation: Application of Artificial Intelligence to Improve Clinical Practice and Survival

Co-investigatorCIHR2022Project Grant - PA: Women's Health Research - Early Career Researcher Grant

Principal investigators: Bhat, Mamatha; Gopalkrishnan, Rahul

Keywords: Artificial Intelligence; Liver Transplantation

$100,000

The Genetics Navigator: A novel digital tool to advance quality and equity in genomic medicine

Co-investigatorCIHR2021Project Grant - PA: CMA Foundation - Virtual Care

Principal investigators: Bombard, Yvonne; Hayeems, Robin Z

Keywords: E-Health Tools; Genomics; Patient Facing Health Tools; Personalized Healthcare; Randomized Controlled Trial; User-Centered Design

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

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Michael Brudno

Research

Latest papers

Latest funding

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.

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

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

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.

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.

Approaches to identify scenarios for data science implementations within healthcare settings: recommendations based on experiences at multiple academic institutions.

Integrating Human and Artificial Intelligence for Better Patient Care

Frequent collaborators

Rosanna Weksberg

Taila Hartley

Cynthia Hawkins

Mamatha Bhat

Anna Goldenberg

Eric Bouffet

David Chitayat

Uri Tabori

Guillaume Bourque

Adam Shlien

Sarah Bowdin

Devin Singh

David Malkin

Parisa Shooshtari

Gregory Costain

Yann Joly

Jean Michaud

Ute Bartels

Nada Jabado

Evdokia Anagnostou

Reshma Amin

Deepali Kumar

Chris McIntosh

Lauren Chad

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