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

Coagulation and Asthma

Credits: 0,5

Language: Italiano

Teacher:  Nicola Martinelli

Discovering Personalized Medicine: An Active Learning Exploration of Gene Mutations and Targeted Cancer Therapies

Credits: 3

Language: English

Teacher:  Dr. Martina Gaspari

Enzymes involved in rare neurotransmitter diseases: approaches to genotype-phenotype correlation

Credits: 0,5

Language: Italian

Teacher:  Mariarita Bertoldi

Epigenomica della bilancia emostatica

Credits: 0,5

Language: English

Teacher:  Simonetta Friso

Heme and Iron toxicity in hemoglobinopathies

Credits: 0,5

Language: Italian

Teacher:  Lucia De Franceschi

Hypereosinophilic Syndromes

Credits: 0,5

Language: Italiano, inglese su richiesta per gli studenti Erasmus

Teacher:  Marco Caminati

Improvement of Plasmodium Falciparum clearance in phase 2 study with triple anti-malarial therapy

Credits: 0,5

Language: Italian

Teacher:  Lucia De Franceschi

Investigating hematopoiesis with novel 3D bone marrow models

Credits: 0,5

Language: Italian

Teacher:  Lucia De Franceschi

In Vps13a-/- Mice, the Impairment of Autophagy Exacerbates Skeletal Muscle Aging Phenotype

Credits: 0,5

Language: Italian

Teacher:  Lucia De Franceschi

Iron in health and diseases

Credits: 0,5

Language: Italian

Teacher:  Domenico Girelli

MicroRNAs drive ibrutinib resistance in mantle cell lymphoma via the AKT/PIK3 and MAPK pathways

Credits: 0,5

Language: English

Teacher:  Carlo Visco

Mutant-p53 induces ferroptosis resistance in pancreatic cancer

Credits: 0,5

Language: Italian

Teacher:  Alessandra Fiore

Phenotyping pain in arthritis: dissecting inflammatory and non-inflammatory mechanisms

Credits: 0,5

Language: Italian

Teacher:  Lucia De Franceschi

Plasma fatty acid analysis in hypertensive patients affected by Primary Aldosteronism highlights specific lipidic profile differences with Essential Hypertension

Credits: 0,5

Language: Italian

Teacher:  Francesca Pizzolo

Recombinant protein delivery enables modulation of the phototransduction cascade in mouse retina

Credits: 0,5

Language: Italian

Teacher:  Valerio Marino

Translational medicine: trilayer scaffolds for the repair of osteochondral defects

Credits: 1

Language: english

Teacher:  Luca Giuseppe Dalle Carbonare, Elena Manuela Samaila

γ-aminobutyrate(GABA)-transaminase: molecular and cellular approaches to the study of the structure-function relationships of the enzyme

Credits: 0,5

Language: English

Teacher:  Riccardo Montioli

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.