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Editorial

Bioelectronic Technologies and Artificial Intelligence for Medical Diagnosis and Healthcare

1
Department of Computer Science, University of Bari, 70125 Bari, Italy
2
Department of Electrical and Information Engineering, Polytechnic University of Bari, 70125 Bari, Italy
3
School of Engineering, University of Warwick, Coventry CV4 7AL, UK
*
Author to whom correspondence should be addressed.
Electronics 2021, 10(11), 1242; https://doi.org/10.3390/electronics10111242
Received: 10 May 2021 / Accepted: 14 May 2021 / Published: 24 May 2021
Note: In lieu of an abstract, this is an excerpt from the first page.

The application of electronic findings to biology and medicine has significantly impacted health and wellbeing [...] View Full-Text
MDPI and ACS Style

Dimauro, G.; Bevilacqua, V.; Pecchia, L. Bioelectronic Technologies and Artificial Intelligence for Medical Diagnosis and Healthcare. Electronics 2021, 10, 1242. https://doi.org/10.3390/electronics10111242

AMA Style

Dimauro G, Bevilacqua V, Pecchia L. Bioelectronic Technologies and Artificial Intelligence for Medical Diagnosis and Healthcare. Electronics. 2021; 10(11):1242. https://doi.org/10.3390/electronics10111242

Chicago/Turabian Style

Dimauro, Giovanni, Vitoantonio Bevilacqua, and Leandro Pecchia. 2021. "Bioelectronic Technologies and Artificial Intelligence for Medical Diagnosis and Healthcare" Electronics 10, no. 11: 1242. https://doi.org/10.3390/electronics10111242

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