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@article{Voliotis:2022:10.1016/j.coemr.2022.100421,
author = {Voliotis, M and Hanassab, S and Abbara, A and Heinis, T and Dhillo, WS and Tsaneva-Atanasova, K},
doi = {10.1016/j.coemr.2022.100421},
journal = {Current Opinion in Endocrine and Metabolic Research},
title = {Quantitative approaches in clinical reproductive endocrinology},
url = {http://dx.doi.org/10.1016/j.coemr.2022.100421},
volume = {27},
year = {2022}
}

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TY  - JOUR
AB  - Understanding the human hypothalamic-pituitary-gonadal (HPG) axis presents a major challenge for medical science. Dysregulation of the HPG axis is linked to infertility and a thorough understanding of its dynamic behaviour is necessary to both aid diagnosis and to identify the most appropriate hormonal interventions. Here, we review how quantitative models are being used in the context of clinical reproductive endocrinology to: 1. analyse the secretory patterns of reproductive hormones; 2. evaluate the effect of drugs in fertility treatment; 3. aid in the personalization of assisted reproductive technology (ART). In this review, we demonstrate that quantitative models are indispensable tools enabling us to describe the complex dynamic behaviour of the reproductive axis, refine the treatment of fertility disorders, and predict clinical intervention outcomes.
AU  - Voliotis,M
AU  - Hanassab,S
AU  - Abbara,A
AU  - Heinis,T
AU  - Dhillo,WS
AU  - Tsaneva-Atanasova,K
DO  - 10.1016/j.coemr.2022.100421
PY  - 2022///
SN  - 2451-9650
TI  - Quantitative approaches in clinical reproductive endocrinology
T2  - Current Opinion in Endocrine and Metabolic Research
UR  - http://dx.doi.org/10.1016/j.coemr.2022.100421
UR  - http://hdl.handle.net/10044/1/100288
VL  - 27
ER  -

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