Faculty profile

Cedric Manlhiot

ResearcherUniversity 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.

Cedric Manlhiot

Researcher

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.
23 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 1 research grant (1 CIHR), most recently in 2026.

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

236

Publications

1,217

Citations

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

Congenital Heart Disease Outpatient Monitoring System Prediction Model Structural Heart Disease

Latest papers

Defining Population at Risk and Assessment of Patients With Presumed Coronary Microvascular and Vasomotor Dysfunction
Canadian Journal of Cardiology · 2026
Did the COVID-19 pandemic change the Kawasaki disease phenotype? Observations from the International Kawasaki Disease Registry
Pediatric Cardiology · 2026
Defining Metrics and the Framework for the Invasive Assessment of Patients With Presumed Coronary Microvascular and Vasomotor Dysfunction
Canadian Journal of Cardiology · 2026

All 236 publications

Latest funding

Continuous predictive monitoring to individualize the timing of clinical evaluations in patients with pediatric heart disease
CIHR · 2026 · Nominated PI
$819,316
Optimizing outcomes in survivors of childhood, adolescent and young adult cancer
CIHR · 2017 · Co-investigator
$2,729,448
The risk for premature atherosclerosis in survivors of childhood cancer: A study in the Preventing Cardiac Sequelae in Pediatric Cancer Survivors (PCS2) cohort
CIHR · 2017 · Co-investigator
$554,625

All 6 grants and awards

From the 150 most recent of 236 publications.

Defining Population at Risk and Assessment of Patients With Presumed Coronary Microvascular and Vasomotor Dysfunction

Boivin-Proulx L-A, Schampaert E, Bainey K, Chong AY, Saw J, Eckstein J, Lavoie A, Abuzeid W, Schwalm JD, Lara TAC

Canadian Journal of Cardiology20262 citations

DOI: 10.1016/j.cjca.2025.12.062

Did the COVID-19 pandemic change the Kawasaki disease phenotype? Observations from the International Kawasaki Disease Registry

Raghuveer G, Coffee M, Dahdah N, Harahsheh AS, Dionne A, Portman MA, Nowlen TT, Pagano JJ, Gunsaulus M, Wehrmann M

Pediatric Cardiology20261 citations

DOI: 10.1007/s00246-026-04201-7

Defining Metrics and the Framework for the Invasive Assessment of Patients With Presumed Coronary Microvascular and Vasomotor Dysfunction

Boivin-Proulx L-A, Schampaert E, Bainey K, Chong AY, Saw J, Eckstein J, Lavoie A, Abuzeid W, Schwalm JD, Lara TAC

Canadian Journal of Cardiology20261 citations

DOI: 10.1016/j.cjca.2025.12.061

A Standardized Invasive Protocol for the Investigation of Patients With Presumed Coronary Microvascular and Vasomotor Dysfunction

Boivin-Proulx L-A, Schampaert E, Bainey K, Chong AY, Saw J, Eckstein J, Lavoie A, Abuzeid W, Schwalm JD, Lara TAC

Canadian Journal of Cardiology20261 citations

DOI: 10.1016/j.cjca.2026.01.034

Gastrointestinal Symptoms in Kawasaki Disease and Multisystem Inflammatory Syndrome in Children

Fabi M, Harahsheh AS, Raghuveer G, Wehrmann M, Portman MA, Dahdah N, Sabati AA, Misra N, Yamazaki-Nakashimada MA, Khoury M

Pediatric Cardiology20261 citations

DOI: 10.1007/s00246-025-04097-9

The Pediatric Pulmonary Hypertension International Risk Score: A Prediction Model for Outcomes Using Machine Learning.

Griffiths M, Chinni BK, Lokhorst C, Douwes JM, Sleeper LA, Tingo J, Abman SH, Rosenzweig EB, Schramm JE, Austin ED, Mullen MP, Torrent-Vernetta A, Labrandero C, Benza R, Jesus Del Cerro M, Berger RMF, Manlhiot C, Everett AD

Circulation2026

DOI: 10.1161/circulationaha.125.077391 PMID: 42576812

Incomplete Kawasaki Disease Versus Non-severe Multisystem Inflammatory Syndrome in Children: Distinguishing Features from Contemporaneous Patients.

Harahsheh AS, Gunsaulus M, Tierney S, Nowlen TT, Pagano JJ, Dallaire F, Lee S, Norozi K, Orr WB, Dionne A, Elias MD, Hicar MD, Fabi M, Tremoulet AH, Raghuveer G, Jain SS, Misra N, Nwanze DT, Manlhiot C, McCrindle BW, International Kawasaki Disease Registry (IKDR)

Pediatric cardiology2026

DOI: 10.1007/s00246-026-04444-4 PMID: 42696153

Machine learning enhanced expert system for detecting heart failure decompensation using patient reported vitals and electronic health records.

Saha S, Ross H, Velmovitsky PE, Wang CX, Vishram-Nielsen JKK, Manlhiot C, Wang B, Cafazzo JA

Scientific reports2025

DOI: 10.1038/s41598-025-16376-9 PMID: 40846740

Effect of the COVID-19 Pandemic on the Epidemiology of Kawasaki Disease in Canada.

Butris N, Gangemi D, Farid P, O'Shea S, Collins T, Chahal N, Rahman R, Guerra V, McCrindle BW, Manlhiot C

CJC pediatric and congenital heart disease2025Senior author

DOI: 10.1016/j.cjcpc.2025.07.001 PMID: 41607721

Machine learning-based predictive model for atrial arrhythmia following transcatheter atrial septal defect closure.

Jacquemyn X, Van De Bruaene A, Ector J, Haemers P, De Meester P, Manlhiot C, Budts W, Vandenberk B

International journal of cardiology. Congenital heart disease2025

DOI: 10.1016/j.ijcchd.2025.100639 PMID: 41322047

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Cedric Manlhiot

Research

Latest papers

Latest funding

Defining Population at Risk and Assessment of Patients With Presumed Coronary Microvascular and Vasomotor Dysfunction

Did the COVID-19 pandemic change the Kawasaki disease phenotype? Observations from the International Kawasaki Disease Registry

Defining Metrics and the Framework for the Invasive Assessment of Patients With Presumed Coronary Microvascular and Vasomotor Dysfunction

A Standardized Invasive Protocol for the Investigation of Patients With Presumed Coronary Microvascular and Vasomotor Dysfunction

Gastrointestinal Symptoms in Kawasaki Disease and Multisystem Inflammatory Syndrome in Children

The Pediatric Pulmonary Hypertension International Risk Score: A Prediction Model for Outcomes Using Machine Learning.

Incomplete Kawasaki Disease Versus Non-severe Multisystem Inflammatory Syndrome in Children: Distinguishing Features from Contemporaneous Patients.

Machine learning enhanced expert system for detecting heart failure decompensation using patient reported vitals and electronic health records.

Effect of the COVID-19 Pandemic on the Epidemiology of Kawasaki Disease in Canada.

Machine learning-based predictive model for atrial arrhythmia following transcatheter atrial septal defect closure.

Continuous predictive monitoring to individualize the timing of clinical evaluations in patients with pediatric heart disease

Optimizing outcomes in survivors of childhood, adolescent and young adult cancer

The risk for premature atherosclerosis in survivors of childhood cancer: A study in the Preventing Cardiac Sequelae in Pediatric Cancer Survivors (PCS2) cohort

Brain development following late onset intrauterine growth restriction

Novel approaches to the prediction, diagnosis and treatment of cardiac late effects in survivors of childhood cancer

Clinical Assessment of Thrombosis in Children after Heart surgery: The CATCH study

Frequent collaborators

Luc Mertens

Seema Mital

Anthony Chan

Tapas Mondal

Rejane Dillenburg

Edgar Jaeggi

Frederic Dallaire

Laura Banks

Filio Billia

Heather Ross

Kevin Bainey

Yasbanoo Moayedi

John Kingdom

Jon-david Schwalm

Andrew Redington

Jacqueline Saw

Adelle Atkinson

David Nicholas

Peter Liu

Steven Miller

David Nicholas

Anne Dipchand

Sheila Weitzman