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The future is now? Clinical and translational aspects of "Omics" technologies.
D'Adamo, Gemma L; Widdop, James T; Giles, Edward M.
  • D'Adamo GL; Centre for Innate Immunity and Infectious Disease, Hudson Institute of Medical Research, Clayton, VIC, Australia.
  • Widdop JT; Centre for Innate Immunity and Infectious Disease, Hudson Institute of Medical Research, Clayton, VIC, Australia.
  • Giles EM; Centre for Innate Immunity and Infectious Disease, Hudson Institute of Medical Research, Clayton, VIC, Australia.
Immunol Cell Biol ; 99(2): 168-176, 2021 02.
Article in English | MEDLINE | ID: covidwho-751690
ABSTRACT
Big data has become a central part of medical research, as well as modern life generally. "Omics" technologies include genomics, proteomics, microbiomics and increasingly other omics. These have been driven by rapid advances in laboratory techniques and equipment. Crucially, improved information handling capabilities have allowed concepts such as artificial intelligence and machine learning to enter the research world. The COVID-19 pandemic has shown how quickly information can be generated and analyzed using such approaches, but also showed its limitations. This review will look at how "omics" has begun to be translated into clinical practice. While there appears almost limitless potential in using big data for "precision" or "personalized" medicine, the reality is that this remains largely aspirational. Oncology is the only field of medicine that is widely adopting such technologies, and even in this field uptake is irregular. There are practical and ethical reasons for this lack of translation of increasingly affordable techniques into the clinic. Undoubtedly, there will be increasing use of large data sets from traditional (e.g. tumor samples, patient genomics) and nontraditional (e.g. smartphone) sources. It is perhaps the greatest challenge of the health-care sector over the coming decade to integrate these resources in an effective, practical and ethical way.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Genomics / Metabolomics / Precision Medicine Type of study: Prognostic study Limits: Humans Language: English Journal: Immunol Cell Biol Journal subject: Allergy and Immunology Year: 2021 Document Type: Article Affiliation country: Imcb.12404

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Genomics / Metabolomics / Precision Medicine Type of study: Prognostic study Limits: Humans Language: English Journal: Immunol Cell Biol Journal subject: Allergy and Immunology Year: 2021 Document Type: Article Affiliation country: Imcb.12404