XXXVII Cycle - PHD Programme in Artificial Intelligence (AI)

Introduction

The National PhD Programme in Artificial Intelligence (AI) is composed of 5 doctoral courses hinged on 5 different universities that are federated with each other and with the National Research Council for the integrated coordination of this programme at national level, involving a total of 61 universities and research bodies. The 5 doctoral courses have a common basis in the foundations and development of AI, and each has an area of specialisation in a strategic sector of AI.

Università Campus Bio-Medico is the lead institution for the field of AI for Health and Life Sciences, which consists of the participating and associated institutions listed below.

In this field, the application of AI and, in particular, the integration of AI, IoT & Biorobotics foreshadows scenarios of rapid evolution towards precision medicine, an increasingly predictive, personalised, participatory and preventive medicine. The specific education of this area of specialization envisages the conception, design, development and application of innovative methods, tools and systems that can be used both for basic biological and bio-engineering research, necessary for understanding the origin of pathologies and the preliminary verification of innovative solutions on computational, organ-on-chip models, and for experimental, translational and clinical medical research, in order to maximize the impact of this research on health, wellbeing, safety and quality of human life, longevity included. A pathway that starts with the generation of significant data on health status and relevant environmental conditions, goes through their processing with AI & data science techniques for knowledge extraction and decision support, and arrives at the synthesis, implementation and monitoring of the tools and actions required for diagnostic, therapeutic and care purposes to improve the health and safety of the individual in health, social and work contexts, by means of digital tools and cyber-physical systems.

Given the nature of health contexts, the PhD will also address issues related to the acceptability of technical AI solutions by health professionals and patients and their effective inclusion in health processes, also to avoid excessive workloads and defensive medicine approaches, in support of quality, sustainability and accessibility of health services.


INSTITUTIONTYPE
CNRPARTECIPANT
Università Tor VergataPARTECIPANT
Università di BariPARTECIPANT
SISSAPARTECIPANT
Università del Piemonte OrientalePARTECIPANT
Università di CataniaPARTECIPANT
Università di TorinoPARTECIPANT
Università di PaviaPARTECIPANT
Università di MessinaASSOCIATED
Università VanvitelliASSOCIATED
Università della TusciaASSOCIATED
LUISSASSOCIATED
Università del MoliseASSOCIATED
Università di Reggio CalabriaASSOCIATED
Università di ChietiASSOCIATED
INFNASSOCIATED
COTASSOCIATED
Università di GenovaASSOCIATED
Sant'Anna di PisaASSOCIATED
Humanitas UniversityASSOCIATED
Politecnico di MilanoASSOCIATED

XXXVII cycle – training activities

Students must attend at least 140 hours of courses (overall in 3 years, preferably in the initial phase of the course within the first two years). Each student is required to:

  • attend two PhD schools organised by the National IA Doctorate Programme (www.phd-ai.it). In particular, one school is offered to all the students enrolled in the five courses of the Programme itself, on topics that cut across the various fields of application; a second school deals with specific topics for the Health and Life Sciences sector. The commitment of each school is 20 hours.
  • attend and produce documentation of passing the final examination of specific courses for a total of at least 100 hours. These courses must be chosen from those available within the Health and Life Sciences pillar, or the other 4 national PhD programs.

Educational activities organized for doctoral students by other institutions (e.g., summer schools), with prior approval of the Board of Education formalized by the student's supervisor, contribute to the above 100 hours.

To determine the activities related to the 100 hours, a maximum of 20 hours can be devoted to activities on soft skills, research management, European and international research systems, entrepreneurship, intellectual property, etc.. organized by the university or research institutions of the Programme.

>> Specific training activities of the Health and Life Sciences sector

>> Specific training activities of the other sectors of the National Programme