Endocrinology

Menopause

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

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Neural-Network Scoring Functions Identify Structurally Novel Estrogen-Receptor Ligands.

The magnitude of the investment required to bring a drug to the market hinders medical progress, req...

LncRNA-ID: Long non-coding RNA IDentification using balanced random forests.

MOTIVATION: Long non-coding RNAs (lncRNAs), which are non-coding RNAs of length above 200 nucleotide...

Teriparatide for the rapid resolution of delayed healing of atypical fractures associated with long-term bisphosphonate use.

Bisphosphonates (BPs) are the most widely used drugs to treat osteoporosis. However, recent reports ...

Neural networks with non-uniform embedding and explicit validation phase to assess Granger causality.

A challenging problem when studying a dynamical system is to find the interdependencies among its in...

A study on a robot arm driven by three-dimensional trajectories predicted from non-invasive neural signals.

BACKGROUND: A brain-machine interface (BMI) should be able to help people with disabilities by repla...

Multistability of memristive Cohen-Grossberg neural networks with non-monotonic piecewise linear activation functions and time-varying delays.

The problem of coexistence and dynamical behaviors of multiple equilibrium points is addressed for a...

A mutation profile for top-k patient search exploiting Gene-Ontology and orthogonal non-negative matrix factorization.

MOTIVATION: As the quantity of genomic mutation data increases, the likelihood of finding patients w...

Exposure to Aroclor-1254 impairs spindle assembly during mouse oocyte maturation.

Polychlorinated biphenyls (PCBs), as typical environmental estrogen disruptors, are a structurally-r...

CYP19A1 Genetic Polymorphisms rs4646 and Osteoporosis in Patients Treated with Aromatase Inhibitor-Based Adjuvant Therapy.

OBJECTIVE: Third-generation aromatase inhibitors (AI) are potent suppressors of aromatase activity. ...

Breast cancer detection and classification in digital mammography based on Non-Subsampled Contourlet Transform (NSCT) and Super Resolution.

Breast cancer is one of the most perilous diseases among women. Breast screening is a method of dete...

Machine learning reveals sex-specific 17β-estradiol-responsive expression patterns in white perch (Morone americana) plasma proteins.

With growing abundance and awareness of endocrine disrupting compounds (EDCs) in the environment, th...

Using swing resistance and assistance to improve gait symmetry in individuals post-stroke.

A major characteristic of hemiplegic gait observed in individuals post-stroke is spatial and tempora...

Effect of uterine size on fertility of lactating dairy cows.

There are multiple reasons for reduced fertility in lactating dairy cows. We hypothesized that one c...

Effects of xenoestrogens in human M1 and M2 macrophage migration, cytokine release, and estrogen-related signaling pathways.

Bisphenol A (BPA), bis(2-ethylhexyl)phthalate (DEHP) and di(n-butyl)phthalate (DBP) are environmenta...

In good company? Perception of movement synchrony of a non-anthropomorphic robot.

Recent technological developments like cheap sensors and the decreasing costs of computational power...

Non-parametric temporal modeling of the hemodynamic response function via a liquid state machine.

Standard methods for the analysis of functional MRI data strongly rely on prior implicit and explici...

Real-time, adaptive machine learning for non-stationary, near chaotic gasoline engine combustion time series.

Fuel efficient Homogeneous Charge Compression Ignition (HCCI) engine combustion timing predictions m...

Global asymptotical ω-periodicity of a fractional-order non-autonomous neural networks.

We study the global asymptotic ω-periodicity for a fractional-order non-autonomous neural networks. ...

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