ANNAMARIA DEMARINISLOIOTILE

INTERUNIVERSITY PH.D. PROGRAM BETWEEN POLITECNICO DI BARI AND UNIVERSITÀ DEGLI
STUDI DI BARI ALDO MORO IN INDUSTRY 4.0

Cycle XXXVI

Designing AI-based Technology Transfer
Processes for the Healthcare 4.0 challenge

Ph.D candidate
Annamaria Demarinis Loiotile

                                                    Tutors
                                                    Roberto Bellotti
                                                    Nicola Amoroso

Description of the research program

      Domain: Industry 4.0 and technology transfer (TT) for the absorption and
       dissemination of technologies, equipment, resources, products, and knowledge.
      In the health domain, the Internet of Things, Cloud and Fog Computing, and Big
       Data technologies are revolutionizing eHealth, moving it towards Healthcare 4.0
       (HC4.0).
      Objective: to develop new methodologies, through Big Data and artificial
       intelligence, supporting the design of TT processes for:
                        universities
                        companies
                        stakeholders
       involved in HC4.0 challenge.
     The specific challenge is the P4 Medicine, i.e. predictive, preventive, personalized
      and participatory, by means of the radical change in medicine enabled by I4.0 new
      technologies.

Pag. 2 – Annamaria Demarinis Loiotile (email: annamaria.demarinis@poliba.it)
Interuniversity PhD course in Industry 4.0 - Università degli Studi di Bari – PhD School of the Politecnico di Bari

First research activity
“Pattern discovery in technology transfer and entrepreneurship activities in the
top world universities”
       Analysis of the world best practises in technology transfer
       Study of the world university rankings (ARWU, QS and THE)
       Correlation analysis
       Collection and analysis of knowledge transfer indicators

Pag. 3 – Annamaria Demarinis Loiotile (email: annamaria.demarinis@poliba.it)
Interuniversity PhD course in Industry 4.0 - Università degli Studi di Bari – PhD School of the Politecnico di Bari

Second research activity
“An AI Approach for Intellectual Property Data”

       Mutual non-disclosure Agreement signed with
        Netval – Network per la Valorizzazione
        della ricerca universitaria for the elaboration
        of the "Knowledge Share" database (September
        2021).
       Knowledge Share is a portal as the meeting
        point for Italian companies with the expertise
        developed by the Italian universities and
        Research Centers. Is a joint project involving
        POLITO, UIBM at Ministry for Economic
        Development             and            Netval.
        (https://www.knowledge-share.eu/).
       A specific focus will be done on Healthcare
        and biomedical area.

    Pag. 4 – Annamaria Demarinis Loiotile (email: annamaria.demarinis@poliba.it)
    Interuniversity PhD course in Industry 4.0 - Università degli Studi di Bari – PhD School of the Politecnico di Bari

List of the publications

International Journal Articles
[j1]        L. Bellantuono, A. Monaco, N. Amoroso, A. Demarinis Loiotile, A. Lombardi, S. Tangaro, R. Bellotti,
“A complex network model to detect biases in university rankings”. Science Advances (submitted)

International Conference Proceedings
[c1]        A. Demarinis Loiotile, V. Dentamaro, P. Giglio, D. Impedovo (2021, September). AI-based Clinical
decision support tool on Mobile Devices for Neurodegenerative Diseases. Human-Computer Interaction –
INTERACT 2021, Lecture Notes in Computer Science, Vol. 12932, pp 139-148.

[c2]       A. Demarinis Loiotile, L. Bellantuono, F. De Nicolò, A. Monaco, S. Tangaro, N. Amoroso, R. Bellotti
(2021, November). The technology transfer of Machine Learning solutions in Healthcare 4.0: the case of
neurodegenerative diseases. In 2nd International Conference on Industry 4.0 and Artificial Intelligence (ICIAI
2021) (accepted and to appear)

Other publications
[g1]         A. Demarinis Loiotile, L. Bellantuono, F. De Nicolò, A. Monaco, S. Tangaro, N. Amoroso, R. Bellotti,
“The technology transfer in Healthcare 4.0: the use of Machine Learning solutions for neurodegenerative
diseases” [Selected Papers GARR 2021 Conference] (accepted and to appear)

Pag. 5 – Annamaria Demarinis Loiotile (email: annamaria.demarinis@poliba.it)
Interuniversity PhD course in Industry 4.0 - Università degli Studi di Bari – PhD School of the Politecnico di Bari

Thank you for your attention!

Pag. 6 – Annamaria Demarinis Loiotile (email: annamaria.demarinis@poliba.it)
Interuniversity PhD course in Industry 4.0 - Università degli Studi di Bari – PhD School of the Politecnico di Bari