Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Big Data in Precision Medicine and its Legal Implications
4
Zitationen
3
Autoren
2020
Jahr
Abstract
Medical healthcare sector is undergoing a predominant transformation and thereby imperative to accept the technological advancements to support the initiation of precision medicine. The major components of precision medicine include genomic data, social factors, clinical trial data, several patient samples, drug responses etc. The compilation methodology of this personalized treatment is inevitably functioned with the aid of big data. In such a scenario, legal repercussions relating to data sharing and privacy factors need to be considered on priority. Moreover, data sharing should be a precondition to the precision medicine approach. In our research work, we are interlinking the legal aspects of big data in precision medicine. Hence, we have a proposed a framework LPDM (Legal Protection for Data in Medicine) to interconnect these relevant factors of legal protection and regulatory compliance in regard to the big data elements for the wellbeing and smooth functioning of this innovative approach in medicine.
Ähnliche Arbeiten
UCSF Chimera—A visualization system for exploratory research and analysis
2004 · 46.968 Zit.
SciPy 1.0: fundamental algorithms for scientific computing in Python
2020 · 35.496 Zit.
Clustal W and Clustal X version 2.0
2007 · 28.839 Zit.
The REDCap consortium: Building an international community of software platform partners
2019 · 22.622 Zit.
Array programming with NumPy
2020 · 20.576 Zit.