Data and Laboratory Management

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