W. Nelson

To Embed or Not: Network Embedding as a Paradigm in Computational Biology

Roded Sharan, Jure Leskovec, Marinka Zitnik, 2019, Front. Genet..

GWAS and ExWAS of blood mitochondrial DNA copy number identifies 71 loci and highlights a potential causal role in dementia

G. Paré, M. O’Donnell, Sukrit Narula, 2021, medRxiv.

Nailfold capillaroscopy and deep learning in diabetes

M. Ghassemi, H. Gerstein, Karsten Roth, 2023, Journal of diabetes.

A versatile, fast and unbiased method for estimation of gene-by-environment interaction effects on biobank-scale datasets

G. Paré, M. Chong, N. Perrot, 2021, medRxiv.

The Toronto Postliver Transplantation Hepatocellular Carcinoma Recurrence Calculator: A Machine Learning Approach

A. Goldenberg, L. Erdman, Lawrence F. Lau, 2021, Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society.

Opening the black box: the promise and limitations of explainable machine learning in cardiology.

Shuang Di, J. Petch, W. Nelson, 2021, The Canadian journal of cardiology.

Machine Learning–Based Early Warning Systems for Clinical Deterioration: Systematic Scoping Review

P. Devereaux, M. McGillion, N. Barr, 2021, Journal of medical Internet research.

Semi-Markov Offline Reinforcement Learning for Healthcare

M. Ghassemi, S. Connolly, Mehdi Fatemi, 2022, CHIL.

A versatile, fast and unbiased method for estimation of gene-by-environment interaction effects on biobank-scale datasets

G. Paré, Shihong Mao, M. Chong, 2023, Nature communications.

Optimizing warfarin dosing for patients with atrial fibrillation using machine learning

L. Wallentin, Shuang Di, J. Eikelboom, 2024, Scientific reports.