|Mammary molecular portraits reveal lineage-specific features and progenitor cell vulnerabilities|
AE Casey, A Sinha, R Singhania, J Livingstone, P Waterhouse, ...
Journal of Cell Biology 217 (8), 2951-2974, 2018
|A population-based study of the treatment effect of first-line ipilimumab for metastatic or unresectable melanoma|
E Drysdale, Y Peng, P Nguyen, T Baetz, TP Hanna
Melanoma research 29 (6), 635, 2019
|The origins and consequences of localized and global somatic hypermutation|
F Yousif, SD Prokopec, RX Sun, F Fan, CM Lalansingh, E Drysdale, ...
BioRxiv, 287839, 2018
|The false positive control lasso|
E Drysdale, Y Peng, TP Hanna, P Nguyen, A Goldenberg
arXiv preprint arXiv:1903.12584, 2019
|Forecasting Emergency Department Capacity Constraints for COVID Isolation Beds|
E Drysdale, D Singh, A Goldenberg
arXiv preprint arXiv:2011.06058, 2020
|Trends and relevance in the bladder and bowel dysfunction literature: PlumX metrics contrasted with fragility indicators|
M Rickard, DT Keefe, E Drysdale, L Erdman, JH Hannick, K Milford, ...
Journal of Pediatric Urology 16 (4), 477. e1-477. e7, 2020
|Implementing AI in healthcare|
E Drysdale, E Dolatabadi, C Chivers, V Liu, S Saria, M Sendak, J Wiens, ...
|Accurate Classification of Pediatric Colonic Inflammatory Bowel Disease Subtype Using a Random Forest Machine Learning Classifier|
J Dhaliwal, L Erdman, E Drysdale, F Rinawi, J Muir, TD Walters, I Siddiqui, ...
Journal of Pediatric Gastroenterology and Nutrition 72 (2), 262-269, 2021
|From Clinic to Computer and Back Again: Practical Considerations When Designing and Implementing Machine Learning Solutions for Pediatrics|
DS Sujay Nagaraj, Vinyas Harish, Liam G. McCoy, Felipe Morgado MSc, Ian ...
Current Treatment Options in Pediatrics, 2020
|MP71-09 COMPARISON OF FRAGILITY METRICS BETWEEN 2 COMMON PEDIATRIC UROLOGY BODIES OF LITERATURE|
M Rickard, J Hannick*, DT Keefe, E Drysdale, L Erdman, JD Santos, ...
The Journal of Urology 203 (Supplement 4), e1067-e1067, 2020
|Adjusting survival curves with inverse probability weights|
|Hypothesis: We hypothesize that sepsis can be predicted in children 0-18 years of age presenting to Emergency Departments (ED) at triage using modern machine learning (ML …|
MD Devin Singh, C McLean, L Radebe, L Erdman, E Drysdale
|Machine Learning Based Medical Directives at Triage in Pediatric Emergency Medicine: The First Step to Automated Pathways for Healthcare Delivery|
MD Devin Singh, C McLean, L Erdman, L Radebe, E Drysdale, J Fischer