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Program Requirements
The Graduate Certificate in Biomedical Science Translational Research is an introduction to relevant clinical aspects of translating scientific discovery as a means of bridging the gap between research and application in clinical settings, while promoting future collaboration among scientists, clinicians and clinician-scientists while promoting future collaboration. The program includes clinical mentorship.
Required Courses (12 credits)
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FMED 525 Foundations of Translational Science (3 credits)
Overview
Family Medicine : An overview of multidisciplinary research that bridges significant gaps between basic, clinical medicine and public policy that enables a translation of knowledge to practice.
Terms: Winter 2024
Instructors: Hebert, Terence (Winter)
Language of Instruction: English.
Prerequisite(s): Permission of instructor if graduate student is outside the department
Restriction(s): Open to graduate students in the Department of Family Medicine
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PHAR 522D1 Fundamentals of Disease Therapy (3 credits)
Overview
Pharmacology and Therapeutics : Basic physiology and pathology, including a macro-level overview of normal physiology and pathophysiology of selected organs.
Terms: Fall 2023
Instructors: Hebert, Terence (Fall)
Prerequisites: FMED 525 or permission of the instructor
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PHAR 522D2 Fundamentals of Disease Therapy (3 credits)
Overview
Pharmacology and Therapeutics : See course description in PHAR 522D1.
Terms: Winter 2024
Instructors: Hebert, Terence (Winter)
Prerequisites: FMED 525 or permission of the instructor
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PHAR 524 Clinical Mentorship (3 credits)
Overview
Pharmacology and Therapeutics : Interaction with clinicians and clinician scientists in the field of medicine and health sciences, focusing on understanding disease from their perspective.
Terms: Winter 2024
Instructors: Hebert, Terence (Winter)
Prerequisites: FMED 525 or permission of the instructor
Complementary Courses (3 credits)
3 credits from:
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BMDE 655 Biomedical Clinical Trials - Medical Devices (3 credits)
Overview
Biomedical Engineering : This course will train biomedical engineers to understand the clinical and business aspects of transferring a medical device idea into a commercial product. This course provides an overview of the pre鈥恈linical and clinical testing of medical devices, clinical trials, reimbursement systems, market analysis, sales models, and business models, as pertaining to medical devices. This course will also cover the design of randomized trials, including statistical principles, hypothesis postulating, bias minimization, and randomization methods.
Terms: Winter 2024
Instructors: Haidar, Ahmad (Winter)
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EPIB 507 Biostats for Health Sciences (3 credits)
Overview
Epidemiology & Biostatistics : Basic principles of statistical inference applicable to clinical, epidemiologic, and other health research. Topics include: methods of describing data, statistical inference for means, statistical inference for proportions, non-parametric statistics, correlation and introduction to linear regression.
Terms: Fall 2023, Summer 2024
Instructors: Douwes-Schultz, Dirk (Fall) Levis, Brooke (Summer)
Prerequisite: Permission of instructor
Restriction: Restricted to students registered in the Faculty of Medicine, Dentistry, Human Nutrition, Medical Residents, and Clinical Fellows.
Course not opened to students registered in the Epidemiology and Biostatistics programs.
Due to the intensive nature of this course during the summer session, the standard add/drop and withdrawal deadlines do not apply. Add/drop is the third lecture day and withdrawal is the sixth lecture day. The standard add/drop and withdrawal deadlines apply for sections of this course offered during the Fall or Winter semesters.
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EXMD 617 Workshop in Clinical Trials 1 (1 credit)
Overview
Experimental Medicine : Intensive day-long workshop discussing Industrial/Academic/Governmental interactions in the design, testing and approval of drugs.
Terms: Winter 2024
Instructors: Jean-Claude, Bertrand; Cournoyer, Denis (Winter)
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EXMD 618 Workshop in Clinical Trials 2 (1 credit)
Overview
Experimental Medicine : Intensive day-long workshop discussing the role of the physician in drug testing.
Terms: Fall 2023
Instructors: Jean-Claude, Bertrand; Di Battista, Giovanni (John); Mihalcioiu, Catalin Liviu D (Fall)
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EXMD 619 Workshop in Clinical Trials 3 (1 credit)
Overview
Experimental Medicine : Intensive day-long workshop discussing the pharmacoeconomics of drug design and testing.
Terms: Fall 2023
Instructors: Jean-Claude, Bertrand; Djiana, Rose; Gilfix, Brian; Thibeault, Denis (Fall)
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EXMD 620 Clinical Trials and Research 1 (1 credit)
Overview
Experimental Medicine : Intensive day-long workshop discussing a topical subject or recent advance relevant to clinical research and the conduct of clinical trials.
Terms: Winter 2024
Instructors: Jean-Claude, Bertrand; Routy, Jean-Pierre (Winter)
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EXMD 633 Clinical Aspects of Research in Respiratory Diseases (3 credits)
Overview
Experimental Medicine : Clinical aspects, epidemiology and burden of major respiratory conditions; key concepts of clinical and epidemiologic research in respiratory diseases. Specific conditions addressed include asthma, chronic obstructive pulmonary disease, cystic fibrosis, tuberculosis, pneumonia, adult respiratory distress syndrome, interstitial and pulmonary vascular diseases.
Terms: Winter 2024
Instructors: Schwartzman, Kevin; Assayag, Deborah; Landry, Jennifer; Shahin, Jason; Smith, Benjamin; Ernst, Pierre; Kimoff, John R; Qureshi, Salman (Winter)
Restriction: Must be registered for graduate or postdoctoral studies in the Faculty of Medicine or the Faculty of Science.
The course uses primarily a Web-based learning format. There are eight two-week modules, each devoted to a specific respiratory topic or condition, with slides, readings, and a brief written assignment. Each module is taught by a faculty member with specific expertise in that topic, with one face-to-face meeting per module (~2 hours) to review key concepts, answer questions, and foster critical discussion around the topic of interest. There is a final essay, requiring a more in-depth approach to one of the major subjects covered during the course. Clinical background is not required.
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EXMD 640 Experimental Medicine Topic 1 (3 credits)
Overview
Experimental Medicine : Study, through guided reading, visits, practicals, assignments, of an elected and approved topic of importance in medical science.
Terms: Fall 2023
Instructors: Jean-Claude, Bertrand; Basik, Mark; Burnier, Julia; Williams, Christopher; Rak, Janusz; Abdulkarim, Bassam; Garzia, Livia (Fall)
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PHAR 508 Drug Discovery and Development 3 (3 credits)
Overview
Pharmacology and Therapeutics : The design of biologically-relevant drug screens for molecular targets in a cell, tissue, and in vivo setting. Explore the use of stem cells and tissue-based disease models for the understanding of disease and for drug discovery. Situate modern pharmacology into broader medical and societal issues such as personalized medicine and the ethics associated with research.
Terms: Winter 2024
Instructors: Hebert, Terence; Clarke, Paul; Tanny, Jason (Winter)
Prerequisite(s): PHAR 301 (PHAR 503 or PHAR 505 are also highly recommended)
Restriction(s): Open to U3 students in the minor, major or honours program in Pharmacology.
Not open to students who have taken PHAR 558.
Assessment modalities- in class presentations and discussion, take-home exams and writing exercises.
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PPHS 529 Global Environmental Health and Burden of Disease (3 credits)
Overview
PPHS : This course presents the grand challenges in global health from environmental and occupational risks along with the multi-disciplinary methods used to identify, control, and prevent them. It will introduce students to knowledge and skills in core disciplines of environmental health and approaches to environmental risk recognition, control and prevention in a global context.
Terms: Fall 2023
Instructors: Weichenthal, Scott Andrew (Fall)
Restriction(s): Not open to students who have taken EPIB 529.
1. Permission of instructor required for undergraduate students.
2.This course is open to graduate students and advanced undergraduates from all departments.
3. Previous coursework in statistics and environmental science is useful, though not required.