Combination therapies for cancer and personalized medicine

27.02.2018: 10:00 - 12:00 (room B08.2225A); 06.03.2018: 10:00 - 12:00 (room B09.2125A); 20.03.2018: 10:00 - 12:00 (room B08.2225A)

Patrycja Nowak-Sliwinska, prof. associée, Section des sciences pharmaceutiques, UNIGE

Patrycja Nowak-Sliwinska, prof. associée, Section des sciences pharmaceutiques, UNIGE, autres experts dans le domaine

The objectives of this course are to get PhD students in pharmaceutical/biomedical research programs familiar with the following subjects:

- Modern approaches in combination treatment design

- Common pharmacokinetic mechanisms underlying clinically important interactions between drugs

- Interactions between drugs used in cancer therapy and nutrients

- Patient- and drug-related factors that predispose patients to adverse drug interactions.

There will be case-based discussions on approaches to clinical evaluation and management of the risk of drug-drug interactions.

- Novel targets for anti-cancer drugs, including vasculature

- Combination therapy in onco-immunology.

- Personalized and precision medicine

Form of the course: The course will consist of expert lectures, case-based discussions, e-learning

Learning Objectives: The learning objectives for this course are to:

- acquire a scientific understanding of the physiological and biochemical basis of drug-drug interactions,

- be able to apply the knowledge gained to the prevention and intervention of adverse drug interactions, as the recognition of the potential for, and intervening with, the adverse consequences of drug-drug and food-drug interactions are major responsibilities of practicing pharmacists.

- develop basic skills of modern combination therapies.

By the end of the course, the students should be able to use the tools and knowledge introduced in the course for new scientific questions related to drug actions.

Background Reading:

There is no textbook. The materials will be delivered via e-mail.

UNIGE

1

Evaluation and Grading:

Course grade will be calculated based on scores for the exam (60%), case studies (20%) and ratings for active participation in the course (20%).

12