Metabolomic diagnostics and human digital image
العنوان: | Metabolomic diagnostics and human digital image |
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المؤلفون: | Petr G. Lokhov, Andrey Lisitsa, Alexander I. Archakov, Sergey S. Markin, Elena E. Balashova, Elena A. Ponomarenko |
المصدر: | Personalized Medicine. 16:133-144 |
بيانات النشر: | Future Medicine Ltd, 2019. |
سنة النشر: | 2019 |
مصطلحات موضوعية: | 0301 basic medicine, Pharmacology, Computer science, General Medicine, 030105 genetics & heredity, Precision medicine, Data science, Mass Spectrometry, 03 medical and health sciences, Digital image, 0302 clinical medicine, Metabolomics, Molecular level, 030220 oncology & carcinogenesis, Diagnosis, Metabolome, Humans, Molecular Medicine, Disease, General health, Diagnostic Techniques and Procedures |
الوصف: | The existing clinical laboratory practice has limitations in terms of specificity and sensitivity of diagnosis, making the introduction of new methods in medicine more topical. Application of ‘omics’ technologies, especially metabolomics, allows overcoming these limitations. The composition of blood metabolites reflects the physical state of an organism at the molecular level. The analysis of blood metabolome can serve as effective means of diagnosis, implementation of which in healthcare is timely and relevant. This paper demonstrates the versatility of metabolomic diagnostics, its applicability to various diseases. We discussed the standard of human digital image, which includes the metabolomic data sufficient to make an accurate assessment of general health and carry out precision diagnostics of a wide range of diseases. |
تدمد: | 1744-828X 1741-0541 |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5de71b4480e2a0b2dc755ab5996f1d54 https://doi.org/10.2217/pme-2018-0066 |
رقم الأكسشن: | edsair.doi.dedup.....5de71b4480e2a0b2dc755ab5996f1d54 |
قاعدة البيانات: | OpenAIRE |
تدمد: | 1744828X 17410541 |
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