SEMINARI DIDATTICI ONLINE

Elia Biganzoli - Università degli Studi di Milano

The Data Science horizon in preventive and predictive biomedicine and the Covid-19 challenge

Abstract

Data Science for Biomedicine involves the analysis of databases resorting to algorithms for learning, managing and processing biomedical information. Machine Learning techniques constitute powerful tools for many applications ranging from epidemiological/clinical information to DNA/RNA sequencing and immunological phenotyping. In healthcare the application of advanced biostatistics and ML can enhance almost all stages of preventive and predictive medicine, including drug discovery processes. In such a framework, Covid-19 provided a unique challenge for the application of Data Science approaches in the research for protecting people from the pandemic outbreak. The seminar will present some of the recent research experience in the field of Data Science for healthcare.

Corsi di laurea:
DiSES Statistica per i Big Data (L41)
Scienze Statistiche per la Finanza (LM-83)
DISA-MIS Business Innovation and Informatics (LM-18)Data Science e Gestione dell'Innovazione (LM-91)

25 maggio 2021
Ore 16:30 - 18:00

MICROSOFT TEAMS
https://bit.ly/3ujDc0i
www.dises

Per consultare l'archivio dei seminari di area statistico-informatica: Big Data and Analytics Seminars