SBRI19006U  Ethics in Translational Medicine I

Volume 2019/2020
Education

BRIDGE - Translational Excellence Programme

 

Content
  • The basics of research ethics of studies involving human subjects and experimental animals (“Brush-up”)
  • The basics of responsible conduct of science (“Brush-up”)
  • Research ethics of translational research: “Does one size fit all?” (cross-cultural issues, e.g., academia vs. clinical setting vs. industry; international research)
  • Research ethics of big data use in translational research
  • Research ethics of gene modifications in translational research
  • Research ethics of experimental animal use in translational research
Learning Outcome

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

Knowledge

  • Discuss research ethics implications of basic/preclinical studies involving biological data, generated as part of “Omics” and similar “Big data” studies
  • Discuss research ethics implications of basic/preclinical studies involving experimental animals
  • Discuss research ethics implication of translational research involving diverse stakeholders, such as academic scientists, clinicians, industry, multi-partner collaborations, and multi-country collaborations

 

Skills

  • Communicate research ethics issues related to big data and translational studies in a balanced and accessible manner

 

Competences

  • Critically assess and discuss complex ethical issues
  • Master dialogical methods that will support collaboration across fields in translational research

Kara H. Research ethics in the real world.

Mittelstadt and Floridi (eds.). The ethics of biomedical big data

Weir and Olick. The stored tissue issue. Biomedical research, ethics, and law in the era of genomic medicine.

Green, Donovan, Jauss (eds.). Global bioethics

Lyons-Weiler J. Cures vs. profits. Successes in translational research.

Participants must meet the admission criteria in BRIDGE - Translational Excellence Programme
The course is organized with a combination of face-face lectures, group work, case studies, role-play, etc.
The focus of this course will be on providing the participants with an update on relevant information and applying that information to assess a number of research ethical dilemmas in modern biomedical translational research.
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
Criteria for exam assesment

Knowledge

  • Knowledge about the research ethics implications of basic/preclinical studies involving biological data, generated as part of “Omics” and similar “Big data” studies.
  • Knowledge about the research ethics implications of basic/preclinical studies involving experimental animals
  • Knowledge about research ethics implication of translational research involving diverse stakeholders, such as academic scientists, clinicians, industry, multi-partner and multi-country collaborations

 

Skills

  • Ability to communicate research ethics issues related to translational research involving big data, genetic modifications, and experimental animals and translational studies, in a balanced and accessible manner to diverse audiences.

 

Competences

  • Knowledge of how to fulfil the requirements for legal authority registration and approval of basic/preclinical studies involving biological samples, “big data”, and international collaborations
  • Category
  • Hours
  • Lectures
  • 6
  • Theory exercises
  • 8
  • Course Preparation
  • 3
  • Exam Preparation
  • 6
  • Total
  • 23