Research Post
Predicting the long-term outcomes of biologics in psoriasis patients using machine learning
Abstract
Real-world data demonstrate that ∼50% of psoriasis patients treated with a biologic agent will discontinue the drug because of a loss in efficacy. History of previous therapy with another biologic, female sex, and obesity were identified as predictors of drug discontinuations, but their individual predictive value is low.
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Modeling and Forecasting COVID-19 Cases using Latent Subpopulations
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Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms
Read this research paper, co-authored by Fellow & Canada CIFAR AI Chair at Russ Greiner: Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms
Jul 7th 2022
Research Post
Prediction of Obsessive-Compulsive Disorder: Importance of neurobiology-aided feature design and cross-diagnosis transfer learning
Read this research paper, co-authored by Fellow & Canada CIFAR AI Chair Russ Greiner: Prediction of Obsessive-Compulsive Disorder: Importance of neurobiology-aided feature design and cross-diagnosis transfer learning
