Data and laboratory management

A.A. 2021/2022
6
Crediti massimi
42
Ore totali
SSD
MED/01 MED/05 MED/43 MED/46
Lingua
Inglese
Obiettivi formativi
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.
Risultati apprendimento attesi
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.
Programma e organizzazione didattica

Edizione unica

Responsabile
Periodo
Terzo trimestre
All classes planned during the third trimester of the first year of the Master Degree Medical Biotechnology and Molecular Medicine, will be given as frontal teaching and distance synchronous learning. In case of a new suspension of frontal lectures, all students will be asked to move to distance synchronous learning.
Each hour of lesson will be divided into 45' of formal teaching followed by 15' of discussion/interaction/question time. All lessons will be recorded and made available for students on the indicated platforms (i.e. Ariel, TEAMS, etc).
Unless otherwise specified, exams will be organized in classroom but if the student is unable to reach the building for COVID-related issues, other forms will be considered (this apply for exams scheduled until the 31st July - 2021).
Programma
Medical statistics:
Design of biomedical studies
Type of measurements and their role in biomedical studies
Data collection, editing and handling
Data visualization and descriptive statistics
Probability distributions
Statistical inference: point estimates, confidence intervals and hypothesis testing
Sample size calculation
Measures of disease occurrence: incidence and prevalence
Measures of association: relative risk, odds ratio and rate ratio
Correlation
Diagnostic tests: sensitivity, specificity and predictive values
Laboratory medicine:
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.
Approaches, methodologies and analyses to be used in immunological diseases and tumors.
Biomedical technologies, animal models, data validation and analysis applied to projects of translational medicine.
Clinical pathology:
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:
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
Prerequisiti
Students must carry a bachelor degree in Biomedical Technologies allowing them to have a basic knowledge in general pathology, immunology and statistics.
Metodi didattici
The integrated course of "Data and Laboratory Management" will have frontal lessons without laboratories. In each one of the 4 integrated modules of the course, the frontal lessons will be highly interactive for the students that will have the opportunity to download before all the presentations and associated material from the Ariel platform of UNIMI, within a special session referred to this integrated course. Doing so, the lesson will have a high level of synergy so the students can actively participate to the lessons. In particular, the student will have an active role in developing with the professors of each models of the integrated course all those examples of data manipulation and analysis in the context of human models of diseases and associated therapies.
Attending the lessons is mandatory.
Materiale di riferimento
Slides produced during the course.
Material provided or suggested by the teachers.
Modalità di verifica dell’apprendimento e criteri di valutazione
Students can register to give the final exam only after they will be approved for all the courses comprise in the COMMON LEARNING ACTIVITY track of the Medical Biotechnology and Molecular Medicine Master Degree.
The exam is written with multiple choice questions and open-ended questions designed to assess the knowledge and understanding of students.
Moduli o unità didattiche
Clinical pathology
MED/05 - PATOLOGIA CLINICA - CFU: 2
Lezioni: 14 ore

Forensic medicine
MED/43 - MEDICINA LEGALE - CFU: 2
Lezioni: 14 ore

Laboratory medicine
MED/46 - SCIENZE TECNICHE DI MEDICINA DI LABORATORIO - CFU: 1
Lezioni: 7 ore

Medical statistics
MED/01 - STATISTICA MEDICA - CFU: 1
Lezioni: 7 ore

Docente/i
Ricevimento:
Previo Appuntamento
Istituto Clinico Humanitas, Via Alessandro Manzoni 113, Rozzano, Milano
Ricevimento:
previo appuntamento da concordare via e-mail