Public Health & Policy

Ethics

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

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Balancing Act: Generative AI Tools and Scope of Practice in Health Coaching.

This article explores the effects of generative artificial intelligence (genAI) in health coaching,...

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...

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...

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 ...

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...

Fast and automatic coronary artery segmentation using nnU-Net for non-contrast enhanced magnetic resonance coronary angiography.

Non-contrast enhanced magnetic resonance coronary angiography (MRCA) is a promising coronary heart d...

A non-invasive diagnostic approach for neuroblastoma utilizing preoperative enhanced computed tomography and deep learning techniques.

Neuroblastoma presents a wide variety of clinical phenotypes, demonstrating different levels of beni...

GDM-BC: Non-invasive body composition dataset for intelligent prediction of Gestational Diabetes Mellitus.

Gestational Diabetes Mellitus (GDM) refers to any degree of impaired glucose tolerance with onset or...

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