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ResearchMatch V2 Results

The ɬÀï·¬ initiative in Computational Medicine is pleased to announce the results of the secondÌýiterationÌýof ResearchMatch. From the original 51ÌýResearchMatch applications received, 16Ìýprojects successfully found a collaborator within the ɬÀï·¬ community and submitted a joint ResearchMatch proposal. These projects were peer reviewed by the MiCM committee and MiCM affiliated faculty members.

With help from partners;Ìýthe Goodman Cancer Research Centre (GCRC),ÌýÌý²¹²Ô»åÌýthe ɬÀï·¬ Faculty of Medicine,ÌýMiCM was able to fund 8ÌýResearchMatch projects.

Please join us in congratulating the recipients.

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ResearchMatch Funded Projects

Axis Applicants Title Funded by
Life science research

Morag Park & Amin Emad

Computational precision medicine for aggressive breast cancer

The Goodman Cancer Research Centre/ ɬÀï·¬ Initiative in Computational Medicine

Life science research

Blake Richards & Mark Brandon

Infrastructure for open machine learning research on the M3 platform data

ɬÀï·¬ Initiative in Computational Medicine

Life science research

Philippe Campeau & Celia Greenwood

Predicting the functional impact of Chromodomain Helicase DNA-binding (CHD) protein mutations

ɬÀï·¬ Initiative in Computational Medicine

Life science research

Luke McCaffrey & Amin Emad

AI-based single-sample protein-protein interaction network reconstruction in cancer

The Goodman Cancer Research Centre/ ɬÀï·¬ Initiative in Computational Medicine

Life science research

Anmar Khadra & Alan Peterson

Heterogeneity of axon-myelin relation in gene edited mice and its functional significance

ɬÀï·¬ Initiative in Computational Medicine

Population health research Jamie Engert & Mathieu Blanchette

Prediction of Aortic Stenosis using Artificial Intelligence

The Research Institute of the ɬÀï·¬ Health Centre/ɬÀï·¬ Initiative in Computational Medicine
Population health research

George Thanassoulis & Simon Gravel

Transethnic Approaches to Valve Disease

The Research Institute of the ɬÀï·¬ Health Centre/ɬÀï·¬ Initiative in Computational Medicine

Clinical research

Susan Rvachew, Aparna Nadig & Mirco Ravanelli

Facilitation of assessment and intervention for speech and language disorders via automatic speech recognition

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ÌýɬÀï·¬ Initiative in Computational Medicine

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