Advanced in Interstitial Nephritis

Nick Daneman

Toronto, ON, CA 
Advanced in Interstitial Nephritis
Toronto, ON, CA 
OverviewLocationsClinical Research

Overview

Nick Daneman practices in Toronto, Canada. Mr. Daneman is rated as an Advanced expert by MediFind in the treatment of Interstitial Nephritis. His top areas of expertise are Sepsis, Pseudomembranous Colitis, Urinary Tract Infection (UTI), and COVID-19.

His clinical research consists of co-authoring 336 peer reviewed articles and participating in 3 clinical trials. MediFind looks at clinical research from the past 15 years. In particular, he has co-authored 4 articles in the study of Interstitial Nephritis.

Gender
Male

Locations

Toronto, ON, Canada
Other Locations
Toronto, Canada

Clinical Research

Clinical research consists of overseeing clinical studies of patients undergoing new treatments and therapies, and publishing articles in peer reviewed medical journals. Experts who actively participate in clinical research are generally at the forefront of the fields and aware of the most up-to-date advances in treatments for their patients.

2 Clinical Trials

Initial Vancomycin Taper for the Prevention of Recurrent Clostridium Difficile Infection
Initial Vancomycin Taper for the Prevention of Recurrent Clostridium Difficile Infection
Enrollment Status: Active_not_recruiting
Publish Date: May 14, 2025
Intervention Type: Drug
Study Drug: Vancomycin
Study Phase: Phase 3
Effectiveness of Fecal Flora Alteration for Eradication of Carbapenemase-producing Enterobacteriaceae Colonization Trial (EFFECT-CPE): a Multisite, Open-label, Randomized Controlled Feasibility Pilot Trial
Effectiveness of Fecal Flora Alteration for Eradication of Carbapenemase-producing Enterobacteriaceae Colonization Trial (EFFECT-CPE): a Multisite, Open-label, Randomized Controlled Feasibility Pilot Trial
Enrollment Status: Suspended
Publish Date: November 03, 2022
Intervention Type: Biological
Study Phase: Phase 2/Phase 3
View 1 Less Clinical Trial

334 Total Publications

Correction: Identification of patient demographic, clinical, and SARS-CoV-2 genomic factors associated with severe COVID-19 using supervised machine learning: a retrospective multicenter study.
Correction: Identification of patient demographic, clinical, and SARS-CoV-2 genomic factors associated with severe COVID-19 using supervised machine learning: a retrospective multicenter study.
Journal: BMC infectious diseases
Published: October 16, 2025

Areas of Expertise

MediFind evaluates expertise by pulling from factors such as number of articles a doctor has published in medical journals, participation in clinical trials, speaking at industry conferences, prescribing and referral patterns, and strength of connections with other experts in their field.

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