97025 - DIAGNOSTIC AND PROGNOSTIC BIOMARKERS

Conoscenze e abilità da conseguire

At the end of the course, students will learn how to design biomarker studies 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 teacher

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

Modalità di verifica e valutazione dell'apprendimento

Attendance to the course is mandatory to sustain the exam.

Student learning will be checked at the end of the course with a written exam (for the Biomarkers course). Eligibility will be granted at the end of the exam.

To pass the Integrated Course, and obtain the corresponding CFUs, the student needs to be deemed eligible in all the individual courses of the Integrated Course.

Strumenti a supporto della didattica

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

Link ad altre eventuali informazioni

https://corsi.unibo.it/magistrale/MedicalBiotechnology/insegnamenti/piano/2024/9081/000/000/2024

Orario di ricevimento

Consulta il sito web di Manuela Ferracin