| 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 | 13 | 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 | 5 | 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 | 5 | 2018 |
| The false positive control lasso E Drysdale, Y Peng, TP Hanna, P Nguyen, A Goldenberg arXiv preprint arXiv:1903.12584, 2019 | 2 | 2019 |
| Forecasting Emergency Department Capacity Constraints for COVID Isolation Beds E Drysdale, D Singh, A Goldenberg arXiv preprint arXiv:2011.06058, 2020 | 1 | 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 | 1 | 2020 |
| Implementing AI in healthcare E Drysdale, E Dolatabadi, C Chivers, V Liu, S Saria, M Sendak, J Wiens, ... | 1 | 2019 |
| 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 | | 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 | | 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 | | 2020 |
| Adjusting survival curves with inverse probability weights E Drysdale | | |
| 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 | | |
