Scheda programma d'esame
MOLECULAR GENETICS AND MOLECULAR MEDICINE IN THE AI-ERA
ROBERTO GIOVANNONI
Academic year2023/24
CourseBIOTECHNOLOGIES AND APPLIED ARTIFICIAL INTELLIGENCE FOR HEALTH
Code551EE
Credits6
PeriodSemester 2
LanguageEnglish

ModulesAreaTypeHoursTeacher(s)
MOLECULAR GENETICS AND MOLECULAR MEDICINE IN THE AI-ERABIO/18LEZIONI60
ROBERTO GIOVANNONI unimap
Learning outcomes
Knowledge

Students will be provided with robust basis on how machine learning and artificial intelligence approaches are applied to molecular genetics and genomics as well as molecular medicine (diagnostics and precision medicine).

Assessment criteria of knowledge

Knowledge will be assessed by oral interview.

Skills

Students will acquire the skills to analyze and discuss findings related to applications and approaches of machine learning and artificial intelligence designed to solve genetics/genomics issues and to integrate precision medicine field.

Assessment criteria of skills

The skills acquired by the students will be assessed by means of oral interviews.

Behaviors

Students will acquire awareness on the potentialities and limitations of AI-based approaches in molecular genetics and molecular medicine. Students will acquire accuracy and precision when discussing experimental data related to artificial intelligence based approaches in molecular genetics and medicine.

Assessment criteria of behaviors

Beahviors will be assessed by means a report of exercices and laboratories activities

Prerequisites

Genetics and molecular biology, as from the 1st year master's degree or the previous first-level degree of the admitted students.

Each student is invited to verify the pre-requisites on the regulations of the Biotechnologies and Applied Artificial Intelligence for Health master's degree. Every examination taken without considering pre-requisites is considered as null (UNIPI regulation, art. 24.3)

Teaching methods

Classroom lessons, seminars, discussion of research findings

Syllabus

The course is intended to provide students with information on how machine learning and artificial intelligence approaches are applied to molecular genetics and genomics as well as molecular medicine (diagnostics and precision medicine). Several applications will be discussed and, for each application, the following scheme will be followed: description and contextualization of the disease / pathologic condition / biotechnology problem; available (still insufficient or limited) solutions; AI approaches.

Bibliography

Reviews and selected papers will be discussed and provided to the students via the dedicated MS Teams platform of the course

Non-attending students info

The course will be in person, but lessons will be video-recorded and the corresponding video files will be made available for participating students. All the students interested in the course must have sent an email to Prof. Giovannoni (roberto.giovannoni@unipi.it) with the indication of the following information: master's degree, year of the course, motivation to attend the course

Assessment methods

Oral interview and a laboratory activity report (to be also discussed during the interview)

Notes

Examination Committee

President: Prof. Roberto Giovannoni

Member: Prof. Enrica Strettoi

Updated: 11/02/2024 13:45