Big Data in Medicine, the Present and Hopefully the Future.

GDPR genomics participatory medicine personalized medicine sequencing

Journal

Frontiers in medicine
ISSN: 2296-858X
Titre abrégé: Front Med (Lausanne)
Pays: Switzerland
ID NLM: 101648047

Informations de publication

Date de publication:
2019
Historique:
received: 15 01 2019
accepted: 29 10 2019
entrez: 6 12 2019
pubmed: 6 12 2019
medline: 6 12 2019
Statut: epublish

Résumé

The emergence of data coming from different venues, as several "omic" approaches, is providing already compelling evidence that the smart use of this information could provide invaluable information to prevent, diagnose and treat human diseases. However, the most daunting challenges remain ahead, as the explosive accumulation of data from additional perspectives, including social graphs, biosensors, and imaging, promise to deliver crucial information that could be exploited for the improvement of the entire human race, both in developed, and developing countries, optimizing health expenses and reaching also the less fortunate sections of the societies. And yet, formidable challenges remain, that pertain for the most part to the collection of the data, their organization, and most relevantly their integration. Here we provide few, pointed examples to the present relevance of these big data approaches in human health as well potential road maps toward the implementation of broader data collections and analyses.

Identifiants

pubmed: 31803746
doi: 10.3389/fmed.2019.00263
pmc: PMC6873822
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

263

Informations de copyright

Copyright © 2019 Riba, Sala, Toniolo and Tonon.

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Auteurs

Michela Riba (M)

Center for Omics Sciences, IRCCS San Raffaele Scientific Institute, Milan, Italy.

Cinzia Sala (C)

Center for Omics Sciences, IRCCS San Raffaele Scientific Institute, Milan, Italy.

Daniela Toniolo (D)

Center for Omics Sciences, IRCCS San Raffaele Scientific Institute, Milan, Italy.

Giovanni Tonon (G)

Center for Omics Sciences, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Functional Genomics of Cancer Unit, Experimental Oncology Division, IRCCS San Raffaele Scientific Institute, Milan, Italy.

Classifications MeSH