Endocrinology

Menopause

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

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Simultaneous determination of five alkaloids in extracted and non-extracted poppy APIs by HPLC.

BACKGROUND: Poppy Active Pharmaceutical Ingredients (APIs) are mainly used in the production of anti...

In utero heat stress compromises whole-body growth and mammary development from postweaning through puberty.

Late-gestation in utero heat stress derails organ development and growth, leading to reduced first-l...

Arylacetamides exhibit antiproliferative effects on non-transformed mammalian and vegetal cells and toxicity on crustaceans and fish embryos.

Non-clinical steps for development, validation and biosafety of new medicines and products comprises...

Branding a New Technological Outlook for Future Orthopaedics.

Orthopedics is undergoing a transformative shift driven by personalized medical technologies that en...

Construction of exosome non-coding RNA feature for non-invasive, early detection of gastric cancer patients by machine learning: a multi-cohort study.

BACKGROUND AND OBJECTIVE: Gastric cancer (GC) remains a prevalent and preventable disease, yet accur...

Active Organic Salts Enabling Non-Intrusive Electrolyte Presodiation Strategy.

Na-ion batteries show great promise, but their practical utilization is hindered by irreversible Na-...

A novel transfer learning framework for non-uniform conductivity estimation with limited data in personalized brain stimulation.

. Personalized transcranial magnetic stimulation (TMS) requires individualized head models that inco...

Decoding Poultry Welfare from Sound-A Machine Learning Framework for Non-Invasive Acoustic Monitoring.

Acoustic monitoring presents a promising, non-invasive modality for assessing animal welfare in prec...

Optimizing non small cell lung cancer detection with convolutional neural networks and differential augmentation.

Lung cancer remains one of the leading causes of cancer-related deaths worldwide, with early detecti...

Replacing non-biomedical concepts improves embedding of biomedical concepts.

Embeddings are semantically meaningful representations of words in a vector space, commonly used to ...

Application of multivalent aptamers in tumor diagnosis, analysis and therapy (Review).

Cancer remains one of the leading causes of mortality worldwide, making early diagnosis and precise ...

Deep Learning-enhanced Opportunistic Osteoporosis Screening in Ultralow-Voltage (80 kV) Chest CT: A Preliminary Study.

RATIONALE AND OBJECTIVES: To explore the feasibility of deep learning (DL)-enhanced, fully automated...

A deep learning algorithm for automated adrenal gland segmentation on non-contrast CT images.

BACKGROUND: The adrenal glands are small retroperitoneal organs, few reference standards exist for a...

Global burden of non-melanoma skin cancers among older adults: a comprehensive analysis using machine learning approaches.

Non-melanoma skin cancers (NMSCs), including basal cell carcinoma (BCC) and squamous cell carcinoma ...

From Nuclear Receptors to GPCRs: a Deep Transfer Learning Approach for Enhanced Environmental Estrogen Recognition.

Environmental estrogens (EEs), as typical endocrine-disrupting chemicals (EDCs), can bind to classic...

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