Learning outcomes

Understand the challenges related to the development of new methods for diagnosis, treatment guidance, and therapeutic monitoring in cancer. Acquire knowledge of fundamental and translational research that has led to the discovery and use of different types of biomarkers. By the end of the course, students will be familiar with current strategies for diagnosis, treatment guidance, and therapeutic monitoring, as well as with new approaches developed in cancer research.

Goals

Demonstrate advanced and up-to-date knowledge in the field of diagnostic and therapeutic strategies in oncology.

Identify and integrate the most relevant scientific data related to a given research question.

Understand, present, and critically discuss data published in high-impact scientific articles.

Content

This course aims to highlight the progression of fundamental and translational research in the various strategies used to improve cancer diagnosis, treatment guidance, and therapeutic monitoring.


  • Review of cancer biology and introduction to the need for biomarkers
  • Description of the steps leading to their clinical use
  • Explanation of the different types of biomarkers already in use
  • Study of new types of biomarkers in preclinical research
  • Implementation of AI and machine learning models in cancer diagnosis
  • Exploration of the differences between detection, stratification, and monitoring biomarkers


Teaching methods

Lecture-based courses, presentations with PowerPoint slides, use of the blackboard, and online voting system. The courses will prioritize interaction and student participation and will be delivered by the course instructors, as well as invited experts.

Assessment method

In January: Written exam consisting of open-ended questions (OEQ) and/or short open-ended questions (SOEQ) and/or multiple-choice questions (MCQ). In case of failure, the student will need to retake the exam covering all the subjects.

In August: Oral exam in the presence of the course instructors.

Sources, references and any support material

Course material available on webcampus.

Language of instruction

English