Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77224, first published .
High-Throughput Computing to Detect Harmful Drug-Drug Interactions in Older Adults: Protocol for a Population-Based Cohort Study

High-Throughput Computing to Detect Harmful Drug-Drug Interactions in Older Adults: Protocol for a Population-Based Cohort Study

High-Throughput Computing to Detect Harmful Drug-Drug Interactions in Older Adults: Protocol for a Population-Based Cohort Study

Neda Rostamzadeh   1 * , PhD ;   Rishabh Sharma   2, 3 * , PharmD, MSc ;   Sheikh S Abdullah   1, 2, 3, 4 , PhD ;   Eric McArthur   2, 3 , MSc ;   Niaz Chalabianloo   1, 3, 5 , PhD ;   Jessica M Sontrop   2, 3, 6 , PhD ;   Matthew A Weir   2, 3, 6, 7 , MD, MSc ;   Kamran Sedig   1 , PhD ;   Amit X Garg   2, 3, 6, 7 , MD, PhD ;   Flory T Muanda   2, 3, 5, 6 , MD, PhD

1 Department of Computer Science, Western University, London, ON, Canada

2 London Health Sciences Centre Research Institute, London, ON, Canada

3 ICES Ontario, London, ON, Canada

4 Department of Computer Science, MacEwan University, Edmonton, AB, Canada

5 Department of Physiology and Pharmacology, Western University, London, ON, Canada

6 Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada

7 Division of Nephrology, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada

*these authors contributed equally

Corresponding Author:

  • Flory T Muanda, MD, PhD
  • Department of Physiology and Pharmacology
  • Western University
  • Medical Sciences Building, 1151 Richmond St, Room 287
  • London, ON N6A 5C1
  • Canada
  • Phone: 1 519-661-2111 ext 84885
  • Email: fmuandat@uwo.ca