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

被引:6
|
作者
Coskun, Abdurrahman [1 ]
Ertaylan, Gokhan [2 ]
Pusparum, Murih [2 ,3 ]
Van Hoof, Rebekka [2 ]
Kaya, Zelal Zuhal [4 ]
Khosravi, Arezoo [5 ]
Zarrabi, Ali [6 ,7 ,8 ]
机构
[1] Acibadem Univ, Sch Med, Dept Med Biochem, Istanbul, Turkiye
[2] Flemish Inst Technol Res VITO, Unit Hlth Environm Intelligence, B-2400 Mol, Belgium
[3] Hasselt Univ, Data Sci Inst, I BioStat, Hasselt, Belgium
[4] Nisantasi Univ, Sch Med, Dept Med Biochem, Istanbul, Turkiye
[5] Istanbul Okan Univ, Fac Engn & Nat Sci, Dept Genet & Bioengn, TR-34959 Istanbul, Turkiye
[6] Istinye Univ, Fac Engn & Nat Sci, Dept Biomed Engn, TR-34396 Istanbul, Turkiye
[7] Yuan Ze Univ, Grad Sch Biotehnol & Bioengn, Taoyuan 320315, Taiwan
[8] Saveetha Univ, Saveetha Inst Med & Tech Sci, Saveetha Dent Coll & Hosp, Dept Res Analyt, Chennai, India
关键词
Genomics; Global health; Metabolomics; Nano-omics; Personalized medicine; TO-BRAIN LOOP; BIOLOGICAL VARIATION; REFERENCE INTERVALS; LABORATORY MEDICINE; SEASONAL-VARIATION; WITHIN-SUBJECT; HEALTH; SYSTEMS; ERRORS; DISCOVERY;
D O I
10.1016/j.bbadis.2024.167339
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Medical 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.
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页数:17
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