Training and Research

PhD Programme Courses/classes - 2023/2024

Patologia molecolare del cancro

Credits: 0,5

Language: English

Teacher:  Aldo Scarpa

The anox guidance pathway in cancer

Credits: 0,5

Language: English

Teacher:  Vincenzo Corbo

Il ruolo dei neutrofili nella modulazione della risposta immunitaria

Credits: 0,5

Language: English

Teacher:  Patrizia Scapini

Pattern recognition receptors in innate immune cells

Credits: 0,5

Language: English

Teacher:  Nicola Tamassia

The interferons

Credits: 0,5

Language: English

Teacher:  Marco Antonio Cassatella

Danger signals during inflammatory responses

Credits: 0,5

Language: English

Teacher:  Gabriela Constantin

Le tirosin fosfatasi nella regolazione delle funzioni leucocitarie

Credits: 0,5

Language: English

Teacher:  Alessio Montresor

Leukocyte trafficking mechanisms to sites of inflammation

Credits: 1

Language: English

Teacher:  Gabriela Constantin

Experimental model in neurodegenerative diseases

Credits: 1

Language: English

Teacher:  Elena Zenaro

Role of microglia during health and disease

Credits: 1

Language: English

Teacher:  Enrica Caterina Pietronigro

Cystic Fibrosis and Leukocyte Adhesion Deficiency type IV: the role of CFTR in integrin activation

Credits: 0,5

Language: English

Teacher:  Alessio Montresor

Precision Medicine in Pancreatic Cancer

Credits: 1,3

Language: English

Teacher:  Claudio Luchini

Alterazioni molecolari nei gliomi

Credits: 0,5

Language: English

Teacher:  Valeria Barresi

Kidney cancers: anotomo-clinical approaches

Credits: 0,5

Language: English

Teacher:  Guido Martignoni

Alterazioni molecolari nei meningiomi

Credits: 0,5

Language: English

Teacher:  Valeria Barresi

Stress responses in Pancreatic Cancer

Credits: 0,5

Language: English

Teacher:  Vincenzo Corbo

Inflammation in the genesis of cancer

Credits: 0,5

Language: English

Teacher:  Giuseppe Zamboni

Valutazione macroscopica e istopatologica nel carcinoma della mammella

Credits: 1

Language: English

Teacher:  Alessia Nottegar

The molecular pathology of Prostate Cancer

Credits: 1

Language: English

Teacher:  Matteo Brunelli

How Fluorescent in situ Hybridization fits into cancer care

Credits: 1

Language: English

Teacher:  Matteo Brunelli

Cancer immunotherapy and Immunoengineering

Credits: 0,5

Language: English

Teacher:  Francesco De Sanctis

Gli organoidi nella medicina personalizzata

Credits: 0,5

Language: English

Teacher:  Claudio Sorio

Harnessing tumor microenvironment to modulate treatment resistance in PDA

Credits: 0,5

Language: English

Teacher:  Davide Melisi

Radio-pathological correlation of hepato-biliopancreatic neoplasms

Credits: 1

Language: English

Teacher:  Riccardo De Robertis Lombardi

Imaging of hepato-biliopancreatic inflammation

Credits: 0,5

Language: English

Teacher:  Riccardo De Robertis Lombardi

Cancer Immunotherapy: building a success

Credits: 0,5

Language: English

Teacher:  Stefano Ugel

Trained Immunity: a long term reprogramming of the innate immune system

Credits: 0,5

Language: English

Teacher:  Flavia Bazzoni

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

Credits: 0,5

Language: English

Teacher:  Michele Milella

Biomarcatori per l'implementazione dell'oncologia di precisione

Credits: 0,5

Language: English

Teacher:  Michele Milella

Recenti progressi nella biologia del cancro della mammella: una prospettiva clinica

Credits: 1

Language: English

Teacher:  Alessia Nottegar

Reinforce the Host against the Tumor: role of multidisciplinary approach in cancer care

Credits: 0,5

Language: English

Teacher:  Sara Pilotto

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

Credits: 0,5

Language: English

Teacher:  Davide Melisi

Opportunities and challenges of new therapies in lung cancer

Credits: 0,5

Language: English

Teacher:  Sara Pilotto

Radiomics in hepato-bilio-pancreatic oncology

Credits: 0,5

Language: English

Teacher:  Riccardo De Robertis Lombardi

Recent advancements in gynecological cancers biology: a clinical perspective

Credits: 0,5

Language: English

Teacher:  Anna Caliò

Recent advancements in lung cancer biology: a clinical perspective

Credits: 0,5

Language: English

Teacher:  Anna Caliò

PhD school courses/classes - 2023/2024

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, 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: as soon as we get new information, we will promptly publish it on this page.

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

1

Language

English

Class attendance

Free Choice

Learning objectives

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.

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.

Scheduled Lessons

When Classroom Teacher topics
Thursday 02 May 2024
14:00 - 18:00
Duration: 4:00 AM
Aula d'Informatica della Piastra Odontoiatrica https://univr.zoom.us/j/92638650019 Giuseppe Verlato 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.
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.