Menopause

Prediction of skin sensitization potency using machine learning approaches.

The replacement of animal use in testing for regulatory classification of skin sensitizers is a priority for US federal agencies that use data from such testing. Machine learning models that classify substances as sensitizers or non-sensitizers without using animal data have been developed and evaluated. Because some regulatory agencies require that sensitizers be further classified into potency c...

Onset of luteolytic action of exogenous prostaglandinF-2α during estrous cycle in goats.

The objectives of these two experiments were to determine the day of onset of luteolysis after exogenous PGF-2α administration during the estrous cycle and the fertility of this synchronized estrus in goats. In the first experiment, during the breeding season, 48 Nubian does were estrous synchronized, using intravaginal sponges impregnated with a progestin, and estrus was detected by vasectomized ...

A Novel Sensitive Method to Measure Catechol-O-Methyltransferase Activity Unravels the Presence of This Activity in Extracellular Vesicles Released by Rat Hepatocytes.

There is a clear need for drug treatments to be selected according to the characteristics of an individual patient, in order to improve efficacy and r...

Association of Vitamin D Deficiency and Thyroid Function in Postmenopausal Women.

Although there are reports of vitamin D (VitD) insufficiency in immune-mediated hypothyroidism, an association between VitD and thyroid-stimulating h...

A ternary classification using machine learning methods of distinct estrogen receptor activities within a large collection of environmental chemicals.

Endocrine-disrupting chemicals (EDCs), which can threaten ecological safety and be harmful to human beings, have been cause for wide concern. There is...

Fertility of lactating dairy cows treated with gonadotropin-releasing hormone at AI, 5 days after AI, or both, during summer heat stress.

Objectives of this experiment were to evaluate pregnancy per AI (P/AI) and progesterone (P4) concentrations after AI of lactating dairy cows under hea...

Caloric restriction and IGF-I administration promote rabbit fecundity: Possible interrelationships and mechanisms of action.

The aim of these in vivo and in vitro studies was to examine the influence of caloric restriction (CR), and the administration of insulin-like growth ...

Impact of laparoscopic ovarian drilling on serum anti-mullerian hormone levels in patients with anovulatory Polycystic Ovarian syndrome.

OBJECTIVES: Anti-mullerian hormone (AMH) is a marker of the activity of recruitable ovarian follicles. It is useful in the prediction of ovarian reser...

Randomized phase II trial of fulvestrant alone or in combination with bortezomib in hormone receptor-positive metastatic breast cancer resistant to aromatase inhibitors: a New York Cancer Consortium trial.

The proteasome inhibitor bortezomib enhances the effect of the selective estrogen receptor (ER) downregulator (SERD) fulvestrant by causing accumulati...

Rational Design of a Boron-Modified Triphenylethylene (GLL398) as an Oral Selective Estrogen Receptor Downregulator.

Development of orally bioavailable nonsteroidal selective estrogen receptor downregulators (SERDs) provides clinical opportunities for the long-term t...

Influence of post-insemination nutrition on embryonic development in beef heifers.

Previous studies have demonstrated that a decrease in nutrition immediately following AI reduces pregnancy success in beef heifers. The objective of t...

Progesterone supplementation in the early luteal phase after artificial insemination improves conception rates in high-producing dairy cows.

This study examines the possible effects on the reproductive performance of high-producing dairy cows of progesterone (P4) given in the early luteal p...

Automatic detection and classification of leukocytes using convolutional neural networks.

The detection and classification of white blood cells (WBCs, also known as Leukocytes) is a hot issue because of its important applications in disease...

The Occurrence of Subclinical Hypercortisolism and Osteoporosis in Patients with Incidentally Discovered Unilateral and Bilateral Adrenal Tumors.

BACKGROUND: Adrenal incidentalomas (AI) are clinically silent adrenal masses that are detected incidentally during imaging procedures performed for un...

Transforming Growth Factor β1 (TGF-β1) in the Sera of Postmenopausal Osteoporotic Females.

BACKGROUND: Postmenopausal osteoporosis is a major cause of morbidity in postmenopausal females. Transforming growth factor β1 (TGF-β1) and interleuki...

A framework for combining a motion atlas with non-motion information to learn clinically useful biomarkers: Application to cardiac resynchronisation therapy response prediction.

We present a framework for combining a cardiac motion atlas with non-motion data. The atlas represents cardiac cycle motion across a number of subject...

Efficiency of population-dependent sulfite against Brettanomyces bruxellensis in red wine.

Brettanomyces bruxellensis is considered as a spoilage yeast encountered mainly in red wine. It is able to reduce vinylphenols from phenolic acids to ...

Advancing the Strategic Messages Affecting Robot Trust Effect: The Dynamic of User- and Robot-Generated Content on Human-Robot Trust and Interaction Outcomes.

Human-robot interaction (HRI) will soon transform and shift the communication landscape such that people exchange messages with robots. However, succe...

Machine Learned Replacement of N-Labels for Basecalled Sequences in DNA Barcoding.

This study presents a machine learning method that increases the number of identified bases in Sanger Sequencing. The system post-processes a KB basec...

Improving the ground reaction force prediction accuracy using one-axis plantar pressure: Expansion of input variable for neural network.

In this study, we describe a method to predict 6-axis ground reaction forces based solely on plantar pressure (PP) data obtained from insole type meas...