Results 211 to 220 of about 2,512,088 (315)

MRI-based deep transfer learning models for predicting progesterone receptor expression in meningioma. [PDF]

Front Oncol
Gao S, Zhao L, Li N, Zhou X, Duan C.
europepmc   +1 more source

Duration and mode of delivery: Does maternal sleep matter?

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective Poor sleep quality in late pregnancy has been identified as a risk factor for operative deliveries. In this study, we investigated the associations between maternal sleep throughout pregnancy and its impact on both the duration and mode of delivery.
Hilla Parttimaa, E. Juulia Paavonen, Laura Perasto, Hasse Karlsson, Linnea Karlsson, Päivi Polo‐Kantola   +5 more
wiley   +1 more source

The roles of AKT isoforms in decidualization and embryo implantation using a Progesterone Receptor-Cre mouse model†. [PDF]

Biol Reprod
Adam P, Fabi F, Parent S, Renaud LI, Cadrin M, Asselin E.   +5 more
europepmc   +1 more source

Functional evidence for two distinct mechanisms of action of progesterone and selective progesterone receptor modulator on uterine leiomyomas

Gabriela Milewska, Donata Ponikwicka‐Tyszko, Piotr Bernaczyk, Oana Lupu, Michal Szamatowicz, Maria Sztachelska, Agata Pilaszewicz‐Puza, Mariusz Koda, Tomasz Bielawski, Monika Zbucka-Krętowska, Adam Pawelczyk, Jakub Tomaszewski, Xiangdong Li, Ilpo Huhtaniemi, Sławomir Wołczyński, Nafis A. Rahman   +15 more
openalex   +1 more source

Association of the Ku autoantigen/DNA-dependent protein kinase holoenzyme and poly(ADP-ribose) polymerase with the DNA binding domain of progesterone receptors [PDF]

, 2000
CA Sartorius, GS Takimoto, JK Richer, Lin Tung, Kathryn B. Horwitz   +4 more
openalex   +1 more source

Epithelial progesterone receptor exhibits pleiotropic roles in uterine development and function

The FASEB Journal, 2012
H. Franco, Cory A. Rubel, Michael Large, M. Wetendorf, R. Fernandez‐Valdivia, J-W Jeong, T. Spencer, R. Behringer, J. Lydon, F. DeMayo   +9 more
semanticscholar   +1 more source

An Interpretable Machine Learning Model for Predicting 5‐Year Survival in Breast Cancer Based on Integration of Proteomics and Clinical Data

iMetaMed, EarlyView.
This study first introduced Kolmogorov–Arnold Network (KAN) into the deep learning model for the integration of clinical and proteomics data in predicting 5‐year survival in breast cancer. The optimal predictive model with 13 key predictors demonstrated excellent predictive performance with strong accuracy, precision, and F1.
Zhixuan Wu, Shengnan Yao, Lingli Jin, Xue Wu, Rongrong Zhang, Ouchen Wang, Erjie Xia   +6 more
wiley   +1 more source

Complete Response With Alpelisib and Trastuzumab in a Patient With Estrogen Receptor-/Progesterone Receptor-Negative, Human Epidermal Growth Factor Receptor 2-Positive Refractory Metastatic Breast Cancer. [PDF]

JCO Precis Oncol
Gibson S, Shah F, Parajuli R.
europepmc   +1 more source

Anxiolytic effects of 3α-hydroxy-5α[β]-pregnan-20-one: endogenous metabolites of progesterone that are active at the GABAA receptor

, 1991
Daniel Bitran, Robert J. Hilvers, Carol K. Kellogg   +2 more
openalex   +1 more source

Short-term Prophylactic Tamoxifen Reduces the Incidence of Antiestrogen-Resistant/Estrogen Receptor–Positive/Progesterone Receptor–Negative Mammary Tumors [PDF]

, 2009
Teresa A. Rose-Hellekant, Andrew Skildum, Olga Zhdankin, Amy L. Greene, Ronald R. Regal, Katherine D. Kundel, Donald W. Kundel   +6 more
openalex   +1 more source