97025 - DIAGNOSTIC AND PROGNOSTIC BIOMARKERS

Conoscenze e abilità da conseguire

At the end of the course, students will learn how to study biomarkers for disease diagnosis and prognosis. The course will provide essential biostatistics knowledge, intended as statistical reasoning to unlocking the data gathered by researchers and the evidence presented in the scientific literature. Students will learn how to use this knowledge to critically interpret data concerning medical biomarkers, prediction models, markers of therapeutic outcomes, decision tools derived from the application of –omics technologies in oncology.

Contenuti

Lecture 1: Predictive, diagnostic and prognostic biomarkers; Biomarkers in treatment decision making and monitoring; Optimum biomarker selection, validation and application; Basics of statistics in medical papers. Introduction to GraphPad software.

Lecture 2: The path from biomarker discovery to clinical practice: examples from the real world. In-class exercise with GraphPad.

Lecture3 : How to find biomarker information using scientific websites. From –omic gene expression data to biomarker identification: bioinformatic approaches. In-class exercise with GraphPad.

Lecture 4: Critical reading of research papers. Business opportunities with biomarkers. In-class exercise with GraphPad.

Testi/Bibliografia

Original research articles and slides will be provided by the lecturer

Metodi didattici

The course will be structured as follows

- frontal lectures with PowerPoint slides

- in-class exercises

- discussion of original research articles on topics related to the lectures

 

In considerazione della tipologia di attività e dei metodi didattici adottati, la frequenza di questa attività formativa richiede la preventiva partecipazione di tutti gli studenti ai moduli 1 e 2 di formazione sulla sicurezza nei luoghi di studio, [https://elearning-sicurezza.unibo.it/] in modalità e-learning.

Modalità di verifica e valutazione dell'apprendimento

Student learning will be checked at the end of the course with an oral exam.

Due to the COVID-19 restrictions, exams could be held at distance on Microsoft Teams platform.

The final mark will be calculated as the weighted mean (based on CFUs) of the marks obtained in all the courses of FRONTIERS IN MEDICAL RESEARCH (I.C.).

A mark above or equal to 18/30 in each module of the Integrated Course is required to obtain the final assessment.

Strumenti a supporto della didattica

Teaching slides and materials will be made available at Unibo e-learning website virtuale.unibo.it

Orario di ricevimento

Consulta il sito web di Manuela Ferracin