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Dietary Supplements

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Recenti progressi in medicina
This study explores the potential use of ChatGPT, an AI-based language model, in assessing herbal-drug interactions (HDi) to enhance clinical decision-making. HDi can pose significant health risks by reducing drug efficacy or causing unwanted side ef...

Effects of vitamin D supplementation on a deep learning-based mammographic evaluation in SWOG S0812.

JNCI cancer spectrum
Deep learning-based mammographic evaluations could noninvasively assess response to breast cancer chemoprevention. We evaluated change in a convolutional neural network-based breast cancer risk model applied to mammograms among women enrolled in SWOG...

Artificial intelligence and allergic rhinitis: does ChatGPT increase or impair the knowledge?

Journal of public health (Oxford, England)
BACKGROUND: Optimal management of allergic rhinitis requires patient education with easy access to accurate information. However, previous online platforms have provided misleading information. The demand for online medical information continues to g...

A conversational agent system for dietary supplements use.

BMC medical informatics and decision making
BACKGROUND: Dietary supplements (DS) have been widely used by consumers, but the information around the efficacy and safety of DS is disparate or incomplete, thus creating barriers for consumers to find information effectively. Conversational agent (...

Discovering novel drug-supplement interactions using SuppKG generated from the biomedical literature.

Journal of biomedical informatics
OBJECTIVE: Develop a novel methodology to create a comprehensive knowledge graph (SuppKG) to represent a domain with limited coverage in the Unified Medical Language System (UMLS), specifically dietary supplement (DS) information for discovering drug...

Use of deep learning to predict the need for aggressive nutritional supplementation during head and neck radiotherapy.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
PURPOSE/OBJECTIVES: Radiation therapy (RT) for the treatment of patients with head and neck cancer (HNC) leads to side effects that can limit a person's oral intake. Early identification of patients who need aggressive nutrition supplementation via a...

A heuristic, computer-driven and top-down approach to identify novel bioactive peptides: A proof-of-principle on angiotensin I converting enzyme inhibitory peptides.

Food research international (Ottawa, Ont.)
Bioactive peptides are short peptides (3-20 amino acid residues in length) endowed of specific biological activities. The identification and characterization of bioactive peptides of food origin are crucial to better understand the physiological cons...

Update on benign paroxysmal positional vertigo.

Journal of neurology
Benign paroxysmal positional vertigo (BPPV) is the most common cause of vertigo worldwide. This review considers recent advances in the diagnosis and management of BPPV including the use of web-based technology and artificial intelligence as well as ...

Deep learning approaches for extracting adverse events and indications of dietary supplements from clinical text.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: We sought to demonstrate the feasibility of utilizing deep learning models to extract safety signals related to the use of dietary supplements (DSs) in clinical text.

Fennel fortified diet: New perspective with regard to fertility and sex hormones.

Pakistan journal of pharmaceutical sciences
The objective of this study was to evaluate the effect of Foeniculum vulgare (FV) on fertility of mice and on serum sex hormone values of rats and rabbits. We used powdered form of Foeniculum vulgare seed and added it to food of mice, rats and rabbit...