Health informatics

A.Y. 2020/2021
3
Max ECTS
36
Overall hours
SSD
INF/01
Language
English
Learning objectives
The course is divided in three modules.
The first module deals with the use of standardized medical search tools, health websites, online social media/networks, and mobile health tools (apps for smartphone and tablets) for medical updating and practice. The purpose of this module is to introduce the student on the emerging web 2.0 and social media technologies and how they are applied to the medical field. In addition, an overview of the use of ICT in medicine will be provided.
The second module deals with Bioinformatics. The purpose of this module is to introduce the student to the complex research area of genomics and high-throughput experiments, which is revolutionising many areas of research in Medicine, from drug discovery to personalized medicine. Biology has become the land of the "-omics", including genomics, transcriptomics, proteomics, lipidomics, metabolomics, etc. Each of these "-omics" generates a huge amount of high throughput data, and it is a challenge both to analyze these data and to further investigate the function of specific molecules.
Expected learning outcomes
At the end of the first module the student will be able to perform a search in medical databases through mesh terms and advanced features and will know web 2.0 and social media technologies.
At the end of the second module the student will know how artificial intelligence will shape and change medicine in future and will be able to distinguish between real possibilities from media announcements.
At the end of the third module the student will be able to use Excel for statistical calculations and for performing multiple testing corrections typical of Bioinformatics applications. The student will have a general understanding of the challenges and opportunities coming from high-throughput experiments.
Course syllabus and organization

Unique edition

INF/01 - INFORMATICS - University credits: 3
Lessons: 36 hours
Professor: Ambrogi Federico
Professor(s)