Proceedings of the 2nd International Conference on Industry 4.0 and Artificial Intelligence (ICIAI 2021)

The Technology Transfer of Machine Learning Solutions in Healthcare 4.0: The Case of Neurodegenerative Diseases

Authors
A. Demarinis Loiotilea, b, *, L. Bellantuonoc, d, F. De Nicolòa, b, A. Monacod, S. Tangarod, e, N. Amorosod, f, 1, R. Bellottib, d, 1
aDipartimento di Ingegneria Elettrica e dell’Informazione, Politecnico di Bari, Italy
bDipartimento Interateneo di Fisica, Università degli Studi di Bari Aldo Moro, Bari, Italy
cDipartimento di Scienze Mediche di Base, Neuroscienze e Organi di Senso, Università degli Studi di Bari Aldo Moro, Bari, Italy
dIstituto Nazionale di Fisica Nucleare, Sez. di Bari, Bari, Italy
eDipartimento di Scienze del Suolo, della Pianta e degli Alimenti, Università degli Studi di Bari Aldo Moro, Bari, Italy
fDipartimento di Farmacia - Scienze del Farmaco, Università degli Studi di Bari Aldo Moro, Bari, Italy
1

Equal last author contribution.

*Corresponding author. E-mail address: annamaria.demarinis@uniba.it
Corresponding Author
A. Demarinis Loiotile
Available Online 2 February 2022.
DOI
10.2991/aisr.k.220201.003How to use a DOI?
Keywords
Machine Learning; Healthcare 4.0; Industry 4.0; Big Data; Magnetic Resonance Imaging
Abstract

Along with the advancement of Machine Learning (ML) research, there is an increasing need for supporting the exploitation of ML-based solutions in a wide range of application fields of Industry 4.0. Healthcare 4.0 is one of the liveliest and interesting fields of Industry 4.0, due to the huge economic and social value of this domain. Therefore, nowadays the adoption of Technology Transfer strategies for supporting the enhancement of ML-solutions for Health 4.0 is a very relevant topic. This paper focuses some aspects related to Technology Transfer (TT) in the field of Healthcare 4.0. Artificial intelligence and machine learning are promising tools for the study of neurodegenerative diseases, which today represent a growing problem worldwide as millions of people are affected and life expectancy is increasing. The paper discusses about a pipeline implemented for neurodegenerative diseases using AI that should be valorized through a variety of complex channels in order to create value for the society and the population, by offering a new service in the field of Healthcare 4.0 based on the prediction of the most important and impactful neurodegenerative diseases, such as Alzheimer and Parkinson diseases.

Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the 2nd International Conference on Industry 4.0 and Artificial Intelligence (ICIAI 2021)
Series
Advances in Intelligent Systems Research
Publication Date
2 February 2022
ISBN
978-94-6239-528-2
ISSN
1951-6851
DOI
10.2991/aisr.k.220201.003How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - A. Demarinis Loiotile
AU  - L. Bellantuono
AU  - F. De Nicolò
AU  - A. Monaco
AU  - S. Tangaro
AU  - N. Amoroso
AU  - R. Bellotti
PY  - 2022
DA  - 2022/02/02
TI  - The Technology Transfer of Machine Learning Solutions in Healthcare 4.0: The Case of Neurodegenerative Diseases
BT  - Proceedings of the 2nd International Conference on Industry 4.0 and Artificial Intelligence (ICIAI 2021)
PB  - Atlantis Press
SP  - 10
EP  - 14
SN  - 1951-6851
UR  - https://doi.org/10.2991/aisr.k.220201.003
DO  - 10.2991/aisr.k.220201.003
ID  - Loiotile2022
ER  -