The educational offer of the doctorate in innovation in immunomediated and hematological disorders includes different types of courses:
1) Courses organized by the PhD in Innovation in immunomediated and hematological disorders;
2) Courses organized by the BEMM Doctoral School
3) Seminars organized by the PhD in Innovation in immunomediated and hematological disorders, by the Medical Academy of Rome.
4) Participation in conferences, courses or symposiums organized by Immunology Societies
5) Seminars for 2nd and 3rd year doctoral students are held every two weeks where the progress of individual projects is exposed and in which all doctoral students are required to participate.
6) Finally, every year the doctoral students of all years are invited to present their data in the presence of the entire teaching body which judges the status of the projects and authorizes the passage to the following year or to the final exam.
- Virtual School of Immunology
From 3 to 6 March 2025
The course consists of a virtual school of immunology organized by the Italian Society of Immunology, Clinical Immunology and Allergology (SIICA) that will deal with issues related to the role of the immune system in immunopathological conditions and innovative immunotherapy approaches.
Microscopy Course: Module I and II
from 26 to 27 March 2025
Number of hours: 14
Course teacher: Marcus Thelen
Activity program: The course aims to: i) provide theoretical notions to understand the functioning of microscopes, ii) develop skills related to the most advanced microscopic techniques present in research laboratories; iii) acquire theoretical and operational skills regarding digital imaging techniques
- Molecular biology course for the analysis of genetic alterations (rearrangements, translocations, mutations) related to the diagnosis, prognosis and evaluation of response in onco-hematological diseases
first semester 2025
- number of hours: 8
program of activities: the course is aimed at first-year PhD students and is divided into 3 meetings of 3 hours each: basic notions for the understanding and application of standard sequencing methods aimed at the characterization of genetic alterations (rearrangements, translocations, gene mutations) related to onco-hematological diseases. Examples will be provided relating to the diagnostic, prognostic and therapeutic relevance of some genetic lesions associated with leukemia and how these lesions can be used in the evaluation of response to treatment and in translational research. Lessons 3 and 4: knowledge of the principles of sequencing obtained using next-generation tools (next generation sequencing and digital droplet PCR). The course also aims to understand the molecular biology data obtained through these tools from different compartments (genomic DNA and cell-free DNA) and their application in the field of translational research on hematological diseases.
Advanced therapies course in rheumatology
First semester 2025
number of hours: 6
program of activities: the course is aimed at first-year PhD students and aims to provide knowledge on the scientific rationale that led to the development of targeted biotechnological and synthetic drugs used for the treatment of rheumatic diseases, their current use in clinical practice and the implications on the immune system. The course consists of 3 2-hour modules dedicated to anti-cytokine therapy, anti-B depletion with small synthetic molecules.
final assessment method: assessment of knowledge through a final test
Analysis of flow cytometry data : Module I and II
Second Semester 2025
Ex-cathedra - number of hours: 8
course teacher: Expert in software for analysis of complex flow cytometry data qualification: Scholar or expert of companies or cultural or social institutions
affiliation: Italian
program of activities: the course aims to provide the necessary knowledge to understand flow cytometry data through the use of specialized software such as "Flow-Jo". The course will provide the necessary tools to adjust the flow cytometer settings, to optimize the computer settings in order to improve the performance of analysis software, to identify the populations under analysis and build an analysis panel, for the statistical analysis of the data obtained and the generation of tables and graphic images. Module II is aimed at increasing the ability to understand high-dimensional flow cytometry data through the use of analysis software tools such as "Flow-Jo". The course includes hands-on data analysis sessions that include data cleaning, dimensionality reduction, and automated generation of graphs such as tSNE and UMAP that highlight clusters of cell populations based on their similarity. Finally, software tools that allow for in-depth automated analysis of the data obtained will be used.
final assessment method: assessment of knowledge and technical skills through a final test.