Innovations in Genomics and Big Data Analytics for Personalized Medicine and Health Care: A Review.

Tytuł:: Innovations in Genomics and Big Data Analytics for Personalized Medicine and Health Care: A Review.
Autorzy:: Hassan M; Institute of Molecular Biology and Biotechnology (IMBB), The University of Lahore (UOL), Lahore 54590, Pakistan.; The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH 43205, USA.
Awan FM; Department of Medical Lab Technology, The University of Haripur, Haripur 22620, Pakistan.
Naz A; Institute of Molecular Biology and Biotechnology (IMBB), The University of Lahore (UOL), Lahore 54590, Pakistan.
deAndrés-Galiana EJ; Group of Inverse Problems, Optimization and Machine Learning, University of Oviedo, 33003 Oviedo, Spain.
Alvarez O; DeepBioInsights, 38311 La Florida, Spain.
Cernea A; DeepBioInsights, 38311 La Florida, Spain.
Fernández-Brillet L; DeepBioInsights, 38311 La Florida, Spain.
Fernández-Martínez JL; Group of Inverse Problems, Optimization and Machine Learning, University of Oviedo, 33003 Oviedo, Spain.
Kloczkowski A; The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH 43205, USA.; Department of Pediatrics, The Ohio State University College of Medicine, Columbus, OH 43205, USA.
Źródło:: International journal of molecular sciences [Int J Mol Sci] 2022 Apr 22; Vol. 23 (9). Date of Electronic Publication: 2022 Apr 22.
Typ publikacji:: Journal Article; Review
Język:: English
Imprint Name(s):: Original Publication: Basel, Switzerland : MDPI, [2000-
MeSH Terms:: Data Science*
Precision Medicine*/methods
Big Data ; Delivery of Health Care ; Genomics
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Grant Information:: R01GM127701 United States NH NIH HHS; R01HG012117 United States NH NIH HHS; DBI-1661391 National Science Foundation
Contributed Indexing:: Keywords: big data analytics; computational approaches; genomics; health; personalized medicine
Entry Date(s):: Date Created: 20220514 Date Completed: 20220517 Latest Revision: 20220716
Update Code:: 20240105
PubMed Central ID:: PMC9104788
DOI:: 10.3390/ijms23094645
PMID:: 35563034
: Czasopismo naukowe

Pełny tekst

Big data in health care is a fast-growing field and a new paradigm that is transforming case-based studies to large-scale, data-driven research. As big data is dependent on the advancement of new data standards, technology, and relevant research, the future development of big data applications holds foreseeable promise in the modern day health care revolution. Enormously large, rapidly growing collections of biomedical omics-data (genomics, proteomics, transcriptomics, metabolomics, glycomics, etc.) and clinical data create major challenges and opportunities for their analysis and interpretation and open new computational gateways to address these issues. The design of new robust algorithms that are most suitable to properly analyze this big data by taking into account individual variability in genes has enabled the creation of precision (personalized) medicine. We reviewed and highlighted the significance of big data analytics for personalized medicine and health care by focusing mostly on machine learning perspectives on personalized medicine, genomic data models with respect to personalized medicine, the application of data mining algorithms for personalized medicine as well as the challenges we are facing right now in big data analytics.

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