SBRI19007U  Translational Tools I

Volume 2019/2020
Education

BRIDGE - Translational Excellence Programme

 

Content
  • Research data management
  • Introduction to and discussion of the use of cellular models, human tissue, rodent models and large animal models in translational research
  • Translational research in the pharmaceutical industry: Excursion to pharmaceutical industry; Best preclinical models
Learning Outcome

On completion of the course, the participants should be able to:

Knowledge

  • Discuss principles of research data management and data management plans
  • Explain suitability of different experimental model systems, and how they can be used in translational research
  • Determine current practices how pharmaceutical industry use experimental model system in translational research

 

Skills

  • Prepare a draft of the fellow’s research data management plan
  • Assess which model system would be optimal for their research

 

Competences

  • Prepare a research data management plan that complies with requirements by funding agencies and other stakeholders
  • Critically evaluate the advantages and disadvantages of different experimental model systems
  • Design basic outlines for preclinical models for drug discovery
  • Understand the central aspects of translational tools and be able to discuss and communicate these to other scientists, clinicians, and the public

Online material and e-learning module on Research Data Management

Review articles and original research articles

Participants must meet the admission criteria in BRIDGE - Translational Excellence Programme
The teaching/learning methods comprise a combination of lectures, group work/workshops, practical exercises and excursions to pharmaceutical companies and animal facilities. Lectures will be given by specialists in the field from both academia and the industry.
Oral
Continuous feedback during the course of the semester
Credit
0 ECTS
Type of assessment
Continuous assessment
Course participation
Attendance and active participation
Exam registration requirements

Participants are automatically registered for the Examination upon course registration.

Aid
All aids allowed
Marking scale
passed/not passed
Censorship form
No external censorship
  • Category
  • Hours
  • Lectures
  • 21
  • Theory exercises
  • 5
  • Course Preparation
  • 2
  • Exam Preparation
  • 9
  • Total
  • 37