Obstetrics & Gynecology

HRT

Latest AI and machine learning research in hrt for healthcare professionals.

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Comparing Multiple Machine Learning Algorithms and Metrics for Estrogen Receptor Binding Prediction.

Many chemicals that disrupt endocrine function have been linked to a variety of adverse biological o...

Convolutional Neural Network Using a Breast MRI Tumor Dataset Can Predict Oncotype Dx Recurrence Score.

BACKGROUND: Oncotype Dx is a validated genetic analysis that provides a recurrence score (RS) to qua...

Insight Analysis of Promiscuous Estrogen Receptor α-Ligand Binding by a Novel Machine Learning Scheme.

Estrogen receptor α (ERα) plays a significant role in occurrence of breast cancer and may cause vari...

Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer.

BACKGROUND: Gene-expression companion diagnostic tests, such as the Oncotype DX test, assess the ris...

Machine learning to predict the occurrence of bisphosphonate-related osteonecrosis of the jaw associated with dental extraction: A preliminary report.

INTRODUCTION: The aim of this study was to build and validate five types of machine learning models ...

Noninvasive detection of macrophage activation with single-cell resolution through machine learning.

We present a method enabling the noninvasive study of minute cellular changes in response to stimuli...

Artificial intelligence on the identification of risk groups for osteoporosis, a general review.

INTRODUCTION: The goal of this paper is to present a critical review on the main systems that use ar...

Natural and molecular history of prolactinoma: insights from a mouse model.

Lactotroph adenoma, also called prolactinoma, is the most common pituitary tumor but little is known...

The role of cinnamon as a modulator of the expression of genes related to antioxidant activity and lipid metabolism of laying quails.

Since cinnamon has vitamins and minerals in addition to antioxidants compounds in its chemical compo...

Cognitive sequelae of endocrine therapy in women treated for breast cancer: a meta-analysis.

PURPOSE: Evidence suggests anti-estrogen endocrine therapy (ET) is associated with adverse cognitive...

Combinative treatment of phenol-rich retting-pond wastewater by a hybrid upflow anaerobic sludge blanket reactor and solar photofenton process.

In this study, recalcitrant rich retting-pond wastewater was treated primarily by anaerobic treatmen...

Deep Learning Accurately Predicts Estrogen Receptor Status in Breast Cancer Metabolomics Data.

Metabolomics holds the promise as a new technology to diagnose highly heterogeneous diseases. Conven...

Genomic risk prediction of aromatase inhibitor-related arthralgia in patients with breast cancer using a novel machine-learning algorithm.

Many breast cancer (BC) patients treated with aromatase inhibitors (AIs) develop aromatase inhibitor...

Artificial neural networks to predict future bone mineral density and bone loss rate in Japanese postmenopausal women.

OBJECTIVE: Predictions of the future bone mineral density and bone loss rate are important to tailor...

Classification of the trabecular bone structure of osteoporotic patients using machine vision.

Osteoporosis is a common bone disease which often leads to fractures. Clinically, the major challeng...

Metabolism, pharmacokinetics, and bioavailability of ZB716, a Steroidal Selective Estrogen Receptor Downregulator (SERD).

ZB716 is a selective estrogen receptor downregulator (SERD) with excellent oral bioavailability and ...

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