Data and laboratory management

A.Y. 2016/2017
Overall hours
MED/01 MED/05 MED/43 MED/46
Learning objectives
The course is aimed to provide an advanced knowledge of the methodological, statistical and forensic approaches used in the management and analyses of data developed both in clinical and research medicine.
Expected learning outcomes
The students will learn how to generate, analyze ad handle data to be used either for diagnosis or to be published in peer reviewed scientific journal and shared with scientific community worldwide.
Course syllabus and organization

Single session

Lesson period
Third trimester
Medical statistics
Course syllabus
Regulation of the European Parliament and of the Council on the protection of natural persons with regard to the processing of personal data, right of access and rectification.
Conditions for consents, transparent information, responsibilities (technical and organizational measures), management of personal data, tramsfer of personal data to third countries, liabilities and penalties.
European Union framework about medical producys for human use.
Good laboratory practices.
Clinical trial regulations.
Ethical issues in data management.
Statistics in data managements.
Scientific fraud.
Laboratory medicine
Course syllabus
Concept of translational medicine and implementation of research programs from "bed to the bench" side and vice versa to investigate on pathogenesis of human diseases and the development of alternative or novel therapeutic approaches.
Approach and methodology to be used in immunological diseases and tumors.
Technology, animal models, data validation and analysis.
Statistics, publication of data and ethical limitation.
Clinical pathology
Course syllabus
Variability in laboratory measurements and analysis
Understanding and Monitoring Clinical Laboratory services
Diagnosis of bone infections
Diagnosis of allergic diseases
Diagnosis of autoimmune diseases
Cardiac pathologies markers
Diagnosis of coagulation diseases
Forensic medicine
Course syllabus
Introduction to Forensic Sciences focusing on Forensic Genetics
The interaction between the criminal trial process and forensic science Principles of crime scene investigation
Recovery, transference, chain of custody of evidence
Principles of the serological analysis (traces identification)
Molecular basis of genetic variation in humans
DNA analysis of trace evidence: interpretation and pitfalls, statistics
DNA analysis in paternity testing
Other forensic DNA analysis applications
DNA databases
Clinical pathology
MED/05 - CLINICAL PATHOLOGY - University credits: 2
Lessons: 14 hours
Forensic medicine
MED/43 - FORENSIC MEDICINE - University credits: 2
Lessons: 14 hours
Laboratory medicine
Lessons: 7 hours
Professor: Mavilio Domenico
Medical statistics
MED/01 - MEDICAL STATISTICS - University credits: 1
Lessons: 7 hours
Professor: Biganzoli Elia
On Appointment
Istituto Clinico Humanitas, Via A. ;anzoni 113, Rozzano, Milano