Advancing personalized medicine: Integrating statistical algorithms with omics and nano-omics for enhanced diagnostic accuracy and treatment efficacy

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dc.authorscopusidAli Zarrabi / 23483174100
dc.authorwosidAli Zarrabi / U-2602-2019
dc.contributor.authorCoşkun, Abdurrahman
dc.contributor.authorErtaylan, Gökhan
dc.contributor.authorPusparum, Murih
dc.contributor.authorVan Hoof, Rebekka
dc.contributor.authorKaya, Zelal Zuhal
dc.contributor.authorKhosravi, Arezoo
dc.contributor.authorZarrabi, Ali
dc.date.accessioned2025-04-18T09:51:11Z
dc.date.available2025-04-18T09:51:11Z
dc.date.issued2024
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Biyomedikal Mühendisliği Bölümü
dc.description.abstractMedical laboratory services enable precise measurement of thousands of biomolecules and have become an inseparable part of high-quality healthcare services, exerting a profound influence on global health outcomes. The integration of omics technologies into laboratory medicine has transformed healthcare, enabling personalized treatments and interventions based on individuals' distinct genetic and metabolic profiles. Interpreting laboratory data relies on reliable reference values. Presently, population-derived references are used for individuals, risking misinterpretation due to population heterogeneity, and leading to medical errors. Thus, personalized references are crucial for precise interpretation of individual laboratory results, and the interpretation of omics data should be based on individualized reference values. We reviewed recent advancements in personalized laboratory medicine, focusing on personalized omics, and discussed strategies for implementing personalized statistical approaches in omics technologies to improve global health and concluded that personalized statistical algorithms for interpretation of omics data have great potential to enhance global health. Finally, we demonstrated that the convergence of nanotechnology and omics sciences is transforming personalized laboratory medicine by providing unparalleled diagnostic precision and innovative therapeutic strategies.
dc.identifier.citationCoskun, A., Ertaylan, G., Pusparum, M., Van Hoof, R., Kaya, Z. Z., Khosravi, A., & Zarrabi, A. (2024). Advancing personalized medicine: Integrating statistical algorithms with omics and nano-omics for enhanced diagnostic accuracy and treatment efficacy. Biochimica et Biophysica Acta (BBA)-Molecular Basis of Disease, 1870(7), 167339.
dc.identifier.doi10.1016/j.bbadis.2024.167339
dc.identifier.endpage17
dc.identifier.issn0925-4439
dc.identifier.issn1879-260X
dc.identifier.issue7
dc.identifier.pmid38986819
dc.identifier.scopus2-s2.0-85198377655
dc.identifier.scopusqualityQ1
dc.identifier.startpage1
dc.identifier.urihttp://dx.doi.org/10.1016/j.bbadis.2024.167339
dc.identifier.urihttps://hdl.handle.net/20.500.12713/6882
dc.identifier.volume1870
dc.identifier.wosWOS:001270413800001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.institutionauthorZarrabi, Ali
dc.institutionauthoridAli Zarrabi / 0000-0003-0391-1769
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofBiochimica et biophysica acta (BBA)-molecular basis of disease
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectGenomics
dc.subjectGlobal Health
dc.subjectMetabolomics
dc.subjectNano-Omics
dc.subjectPersonalized Medicine
dc.titleAdvancing personalized medicine: Integrating statistical algorithms with omics and nano-omics for enhanced diagnostic accuracy and treatment efficacy
dc.typeArticle

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