COMPUTATIONAL METHODS IN TRANSLATIONAL MEDICINE
Program code
ss19-02
Program Duration
5 Days
Dates
24-28 June, 2019
Credits
2
Tuition
200.00 €
include courses and activities in Milan
COMPUTATIONAL METHODS IN TRANSLATIONAL MEDICINE
Tools for bigdata generated in clinical laboratory
Description
The COMP-MED is a joint program generated by the cooperation between the Department of Informatics and Bicocca's School of Medicine.
Translational medicine (TM) is an interdisciplinary branch of the biomedical field supported by three main pillars: "benchside, bedside and community". The main objective of the school is to provide clinicians, and computer scientists with theory, laboratories and case studies to extend and deepen the knowledge of the learning and inferences tools aiming to cope the complexity of TM's current challenges.
We are now generating and have access to vastly larger collections of data than have been available before.
Design data science oriented paradigms to support clinicians in their daily decisional processes is essential to providing the care most appropriate to each patient. In fact, while medicine defines itself as personalized, quantified (precision medicine) or in high definition, clinicians must be prepared to face a world in which data, processes and decisions are rapidly becoming more and more structured, and complex.
The goal is to combine disciplines, resources, skills to promote improvements in prevention, diagnosis, and treatment.
Contents Covered
- TRANSLATIONAL MEDICINE
- FUNDAMENTAL TOPICS FOR INFERENCE AND LEANING CLUE
- TOOL FOR CLINICAL LABORATORY DATA
- UNDERSTANDING AND KNOWLEDGE EXTRACTION
- DEEP LEARNING FOR CLINICAL STUDIES
- PRECISION MEDICINE
- BIOMARKER DISCOVERY
- ADVANCED TOPICS FOR STRUCTURED LEARNING
- E-HEALTH SERVICE MANAGEMENT
- DATA SECURITY
- TELEMEDICINE
- WORKSHOP RAPID MINER
Program Coordinators
- Prof. Paolo Brambilla
- Prof. Giancarlo Mauri
- Prof. Italo Zoppis;
Location
Milan
Accomodation info
Application Deadline
May 30, 2019
Prerequisites:
Master degree or equivalent qualification
Requested documents to be uploaded in the application form
CV, ID card or passport.
For further information, Contact:
