HPC+ in the medical field: Overview and current examples.

Arlandini, Claudio; Antonopoulos, Gregory; Baretta, Alessia; Beaujean, Pierre; Bex, Geert Jan; Biancolini, Marco Evangelos; Celi, Simona; Costa, Emiliano; Drescher, Lukas; Eleftheriadis, Vasileios; Fadel, Nur A; Fink, Andreas; Galbiati, Federica; Hatzakis, Ilias; Hompis, Georgios; Koch, Miriam; Lewandowski, Natalie; Memmolo, Antonio; Mensch, Carl; Obrist, Dominik; ... (2023). HPC+ in the medical field: Overview and current examples. Technology and health care, 31(4), pp. 1509-1523. IOS Press 10.3233/THC-229015

[img] Text
thc-prepress_thc--1--1-thc229015_thc--1-thc229015.pdf - Published Version
Restricted to registered users only
Available under License Publisher holds Copyright.

Download (3MB) | Request a copy

To say data is revolutionising the medical sector would be a vast understatement. The amount of medical data available today is unprecedented and has the potential to enable to date unseen forms of healthcare. To process this huge amount of data, an equally huge amount of computing power is required, which cannot be provided by regular desktop computers. These.

Item Type:

Journal Article (Original Article)

Division/Institute:

10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Cardiovascular Engineering (CVE)

UniBE Contributor:

Obrist, Dominik

Subjects:

600 Technology > 610 Medicine & health

ISSN:

0928-7329

Publisher:

IOS Press

Language:

English

Submitter:

Pubmed Import

Date Deposited:

23 Jan 2023 10:12

Last Modified:

21 Nov 2023 10:09

Publisher DOI:

10.3233/THC-229015

PubMed ID:

36641699

BORIS DOI:

10.48350/177409

URI:

https://boris.unibe.ch/id/eprint/177409

Actions (login required)

Edit item Edit item
Provide Feedback