Emerging areas of personalized medicine in Obstetrics and Gynaecology: a narrative review
This review explores emerging personalized medicine research and clinical applications in obstetrics and gynecology, highlighting advancements in prenatal care, reproductive technology, and treatments for conditions like endometriosis.
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This narrative review discusses emerging areas of personalized/precision medicine in obstetrics and gynaecology, outlining how improved understanding of disease mechanisms and determinants may enable more individualized screening, diagnosis, and management. It describes personalized medicine in obstetrics as underpinning routine prenatal care and extending to research such as advanced assisted reproduction, screening for pregnancy complications, and in utero fetal treatment, while noting that in gynaecology mechanistic insights may support improved diagnosis and individualized approaches for endometriosis and postmenopausal symptoms. The review’s main limitation is that it is narrative and therefore does not present systematic evidence synthesis. Relevance to endometriosis: the paper specifically highlights “more individualized approaches to treatment of endometriosis” as an application area within gynaecology, though its overall focus is personalized medicine across broader obstetrics and gynaecology.
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- Computer-Aided Histopathological Characterisation of Endometriosis Lesions via openalex
- Molecular Imaging of Endometriosis Tissues using Desorption Electrospray Ionization Mass Spectrometry via openalex
- W2056054215 via openalex
- W2123370218 via openalex
- W2129665615 via openalex
- W2182248262 via openalex
- W2786885697 via openalex
- W2897430921 via openalex
- W2969029982 via openalex
- W2999911404 via openalex
- W3008530050 via openalex
- W3200392599 via openalex
- W4220784325 via openalex
- W4292253290 via openalex
- W4293759579 via openalex
- W4313400598 via openalex
- W1999644829 via openalex
- W4316011128 via openalex
- W2023879574 via openalex
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