Training and Research

PhD Programme Courses/classes - 2024/2025

This page shows the PhD course's training activities for the academic year 2024/2025. Further activities will be added during the year. Please check regularly for updates!

Instructions for teachers: lesson management

Cancer immunotherapy in cancer

Credits: 0,5

Language: Inglese

Teacher:  Francesco De Sanctis

Endothelial cells

Credits: 0,5

Language: Italian

Teacher:  Carlo Laudanna

Lung cancer as the paradigm of precision medicine

Credits: 0,5

Language: English

Teacher:  Sara Pilotto

Radiomics in Oncology

Credits: 0,5

Language: inglese

Teacher:  Riccardo De Robertis Lombardi

Radiomics in Oncology

Credits: 0,5

Language: Italian

Teacher:  Riccardo De Robertis Lombardi

Advanced microscopy for the study of tissue pathology and cellular dysfunction

Credits: 0,5

Language: Italian

Teacher:  Enrica Caterina Pietronigro

Neutrophil heterogeneity in health and diseases

Credits: 0,5

Language: Italian

Teacher:  Patrizia Scapini

Myeloid cells induced by cancer

Credits: 0,5

Language: INGLESE

Teacher:  Stefano Ugel

The effects and mechanisms of a lifestyle-based approach on cancer-related outcomes

Credits: 0,5

Language: English

Teacher:  Sara Pilotto

Approaches to study intra-tumor heterogeneity

Credits: 0,5

Language: Inglese

Teacher:  Vincenzo Corbo

Biomarcatori per l'implementazione dell'oncologia di precisione

Credits: 0,5

Language: English

Teacher:  Michele Milella

Design and conduction of early phase clinical trial for developing novel cancer experimental therapeutics

Credits: 0,5

Language: English

Teacher:  Davide Melisi

Flow cytometry: principles, practice, and advanced techniques

Credits: 0,5

Language: Italian

Teacher:  Andrea Mafficini

Fluorescent in situ hybridization analysis (FISH) on cancer

Credits: 0,5

Language: italiano

Teacher:  Matteo Brunelli

From pathology to genomics and back

Credits: 0,5

Language: Italian

Teacher:  Andrea Mafficini

Genome regulation by long non coding RNAs

Credits: 0,5

Language: Italian

Teacher:  Barbara Mariotti

Gut Microbiota: From the Forgotten Organ to a Potential Key Player in Pathology

Credits: 0,5

Language: inglese

Teacher:  Elena Zenaro

Harnessing tumor microenvironment to modulate treatment resistance in PDAC

Credits: 0,5

Language: English

Teacher:  Davide Melisi

Kidney cancers: anatomo clinical approaches

Credits: 0,5

Language: Inglese

Teacher:  Guido Martignoni

Mechanisms of cancer cells adaptation to microenvironmental challenges

Credits: 0,8

Language: Inglese

Teacher:  Vincenzo Corbo

Immunità meningeale durante condizioni fisiologiche e patologiche

Credits: 1

Language: Italian

Teacher:  Gabriela Constantin

Alterazioni molecolari nei gliomi

Credits: 0,5

Language: inglese

Teacher:  Valeria Barresi

Applicazione della tecnologia degli organoidi in fibrosi cistica

Credits: 0,5

Language: english

Teacher:  Claudio Sorio

Precision Functional Genomics in Cancer

Credits: 0,5

Language: Inglese

Teacher:  Vincenzo Corbo

Precision Medicine in Pancreatic Cancer

Credits: 0,5

Language: English

Teacher:  Claudio Luchini

slan+-monocytes in health and disease

Credits: 0,5

Language: English

Teacher:  Marco Antonio Cassatella

T cell activation: the role of CD1

Credits: 0,5

Language: Inglese

Teacher:  Barbara Rossi

Le risposte antivirali del sistema immunitario

Credits: 0,5

Language: English

Teacher:  Nicola Tamassia

The role of neutrophils in neurodegeneration

Credits: 0,5

Language: Italian

Teacher:  Gabriela Constantin

Tissue resident memory CD8 T cells

Credits: 0,5

Language: English

Teacher:  Eleonora Terrabuio

Training the innate immunity

Credits: 0,5

Language: Italian

Teacher:  Flavia Bazzoni

Twist and turn on the path of precision oncology in routine clinical practice

Credits: 0,5

Language: English

Teacher:  Michele Milella

PhD school courses/classes - 2024/2025

Please note: Additional information will be added during the year. Currently missing information is labelled as “TBD” (i.e. To Be Determined).

1. PhD students must obtain a specified number of CFUs each year by attending teaching activities offered by the PhD School.
First and second year students must obtain 8 CFUs. Teaching activities ex DM 226/2021 provide 5 CFUs; free choice activities provide 3 CFUs.
Third year students must obtain 4 CFUs. Teaching activities ex DM 226/2021 provide 2 CFUs; free choice activities provide 2 CFUs.
More information regarding CFUs is found in the Handbook for PhD Students: https://www.univr.it/phd-vademecum

2. Registering for the courses is not required unless explicitly indicated; please consult the course information to verify whether registration is required or not. When registration is actually required, instructions will be sent well in advance. No confirmation e-mail will be sent after signing up. Please do not enquiry: if you entered the requested information, then registration was silently successful.

3. When Zoom links are not explicitly indicated, courses are delivered in presence only.

4. All information we have is published here. Please do not enquiry for missing information or Zoom links: if the information you need is not there, then it means that we don't have it yet. As soon as we get new information, we will promptly publish it on this page.

Summary of training activities

Teaching Activities ex DM 226/2021: Linguistic Activities

Teaching Activities ex DM 226/2021: Research management and Enhancement

Teaching Activities ex DM 226/2021: Statistics and Computer Sciences

Teaching Activities: Free choice

Credits

0.5

Language

inglese

Class attendance

Free Choice

Location

VERONA

Learning objectives

Obiettivi:

The course will provide an overview on the methods to compute sample size necessary to achieve an adequate precision in estimating proportions or an adequate statistical power to compare the means of two independent or dependent samples, or the proportions of two independent samples.
The concepts of statistical power, statistical precision, sample size and effect size will be reviewed. Statistical power computations will be illustrated by Excel files and Stata software. Participants will be encouraged to bring power calculation problems, to be used as examples in the class.

Prerequisites and basic notions

Students should have basic knowledge of Mathematics and Statistics.

Program

Confidence interval and precision of the estimate. Methods to compute sample size necessary to achieve an adequate precision in estimating proportions.
Probability of type II error and power of a statistical test. Methods to compute sample size necessary to achieve an adequate statistical power to compare the means of two independent or dependent samples, or the proportions of two independent samples.

Didactic methods

Lessons will take place in the computer room. Statistical power computations will be illustrated by Excel files and Stata software (Stata and R-commander). Participants will be encouraged to bring power calculation problems, to be used as examples in the class.
Link zoom: https://univr.zoom.us/j/94331181144?pwd=b1hxSVVvKzBsWUlDWkE0bTllV0tzQT09

Learning assessment procedures

A written exam will be administered. Students will have to compute sample size in a given problem.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Assessment

The exam will evaluate not only the acquisition of statistical knowledge, but also the ability to adopt it critically to solve health problems.

Criteria for the composition of the final grade

The final mark will be expressed on a scale ranging from 0 to 30. A minimum mark of 18 will be required in order to pass the exam.

Course lessons
PhD Schools lessons

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Guidelines for PhD students

Below you will find the files that contain the Guidelines for PhD students and rules for the acquisition of ECTS credits (in Italian: "CFU") for the Academic Year 2023/2024.