PhD in INGEGNERIA DELL'INFORMAZIONE / INFORMATION TECHNOLOGY - 39th cycle
THEMATIC Research Field: DISTRIBUTED AI FOR HEALTHCARE DATA
Motivation and objectives of the research in this field
In recent years, data-driven medicine has gained increasing importance in terms of diagnosis, treatment, and research due to the exponential growth of healthcare data. The linkage of health data from various sources, including genomics, and analysis via innovative approaches based on artificial intelligence (AI) advanced the understanding of risk factors, causes, and development of optimal treatment in different disease areas. Furthermore, it contributed to the development of a high-quality accessible health care system. Nevertheless, the use of patient data for medical research is often limited to data sets available at a single medical centre as data protection regulations prohibit data centralisation for analysis purposes. The goal of this PhD is to explore this context, focusing on a real use case on pediatric rare diseases, where data are available form three different institutions.
Methods and techniques that will be developed and used to carry out the research
The student will research on development of distributed tools leveraging artificial intelligence capabilities. The objective is to design, develop and evaluate distributed algorithms that iteratively analyse separate databases in order to learn without patient data being centralised. Furthermore, the student will actively work on topics such as federated and incremental learning modalities, data and model parallelism, and ensembling techniques.
Educational objectives
The student will learn how to develope, deploy and evaluate distributed artificial intelligence analyses. The student will also learn how to master data and conduct computational researches in the context of biomedical applications.
Job opportunities
Artificial Intelligence and Distributed Artificial Intelligence are attractive research fields andprofessional areas. Graduates with expertise in this area can easily find jobs both in academia and in private organizations.
For further information contact: pietro.pinoli@polimi.it
Full description: https://www.dottorato.polimi.
