Mohamed Abouhawwash^1,2, S. Sridevi³, Suma Christal Mary Sundararajan⁴, Rohit Pachlor⁵, Faten Khalid Karim⁶, Doaa Sami Khafaga^6,*

Computer Systems Science and Engineering, Vol.47, No.1, pp. 239-253, 2023, DOI:10.32604/csse.2023.037812

Abstract One of the significant health issues affecting women that impacts their fertility and results in serious health concerns is Polycystic ovarian syndrome (PCOS). Consequently, timely screening of polycystic ovarian syndrome can help in the process of recovery. Finding a method to aid doctors in this procedure was crucial due to the difficulties in detecting this condition. This research aimed to determine whether it is possible to optimize the detection of PCOS utilizing Deep Learning algorithms and methodologies. Additionally, feature selection methods that produce the most important subset of features can speed up calculation and enhance the effectiveness of classifiers. In… More >

MIN CHEN^1,#, YUAN HUANG^2,#, WEN XU², CHUNLIN SU^2,*

BIOCELL, Vol.46, No.6, pp. 1505-1519, 2022, DOI:10.32604/biocell.2022.016564

Abstract The development of polycystic ovary syndrome (PCOS) is closely related to the chronic inflammatory and obese. Recent studies have found macrophages regulate the chronic inflammation and adipose tissue remodelling, but the underlying mechanisms have not been clarified. In this study, we established a model of PCOS in the offspring rats by high androgen exposure during late pregnancy in parental and established a female rat macrophage eliminating model by rejection of clodronate liposome. Then, the offspring rat macrophage phenotype in offspring female rat adipose tissue, and levels of testosterone, angiogenic factors (PDGF and VEGF) and inflammatory factors (TNF-α and MCP-1) were… More >