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William Ma

Master's Research - McGill University
Supervisor
Amin Emad
Research Topics
Causality
Computational Biology
Data Mining
Deep Learning
Graph Neural Networks
Knowledge Graphs
Learning on Graphs
Medical Machine Learning
Multimodal Learning
Recurrent Neural Networks
Representation Learning
GitHub

Publications

Unbiased characterization of COVID-19 endotypes leads to prognostication of high-risk individuals using routine blood tests
William Ma
Antoine Soulé
Catherine Allard
Madeleine Durand
Karine Tremblay
Simon Rousseau
Amin Emad
Unsupervised proteomic analysis identified biologically coherent endotypes that advance understanding of acute lung injury in COVID‑19 and… (see more) support improved diagnostic and prognostic strategies.
2026-03-13
Communications Medicine (published)
doi.org
A circulating proteome-informed prognostic model of COVID-19 disease activity that relies on 1 routinely available clinical laboratories 2
William Ma
Antoine Soulé
Karine Tremblay
Simon Rousseau
Amin Emad
Abstract
2022-12-31
(published)
www.semanticscholar.org