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Integration of inflammatory and nutritional biomarkers with machine learning enhances prediction of progesterone response in fertility-preserving endometrial carcinoma management.

BACKGROUND: Endometrial carcinoma (EC) and atypical endometrial hyperplasia (AEH) increasingly affect young women, posing challenges for fertility preservation. The inflammatory and nutritional status have been shown to significantly influence disease outcomes, especially in cancer. However, no studies have systematically investigated the predictive value of inflammation and nutrition scores for c...

The role of artificial intelligence in facilitating superwood utilization among furniture craft producers for sustainable smart manufacturing.

Despite the demonstrated potential of superwood materials (engineered or modified wood products, such as densified, thermally modified, or cross-laminated timber, that exhibit enhanced strength, dimensional stability, and resource efficiency relative to conventional timber) and artificial intelligence (AI) to advance sustainable manufacturing, their adoption remains negligible among artisanal furn...

A systematic map of generative AI guidelines and reporting in ecology and evolutionary biology: towards the framework of AI disclosure for Improved Transparency (AIdIT).

Generative artificial intelligence (AI) is rapidly becoming embedded across scientific workflows, yet mechanisms for transparently documenting its use...

Machine learning-based evaluation of lipid biomarkers for cardiovascular risk prediction in chronic kidney disease: A cross-sectional study.

Chronic kidney disease (CKD) is an important public health issue globally, greatly increasing the prevalence and mortality of cardiovascular disease (...

Quality and nutritional accuracy of mHealth nutrition apps in Türkiye: A validation study using food records.

Background: Mobile health (mHealth) applications are increasingly used for dietary assessment and self-monitoring, yet their validity and comprehensiv...

Revolutionizing Nutrition: AI-Driven Health Solutions and Personalized Diets.

Artificial Intelligence (AI) is revolutionizing health and nutrition, significantly advancing personalized dietary management and health optimization....

Bioinformatics and multi-omics approaches in male infertility: implications for diagnosis and assisted reproduction.

Male infertility accounts for approximately 40-50% of infertility cases worldwide and represents a complex, multifactorial condition influenced by gen...

MERWACS: Development and external validation of a non-invasive machine learning tool for identifying subjects to be screened for CKD.

Early detection of chronic kidney disease (CKD) is a critical public health priority. However, a gap exists for non-invasive tools to guide screening ...

Machine learning reveals mechanisms and feedstock effects on potassium and magnesium uptake by wheat in biochar-amended soil in greenhouse.

Despite the potential of biochar to enhance crop nutrient uptake, the complex, feedstock-dependent interactions among biochar properties, soil biologi...

Human-Centered Innovation: Precision Nutrition and the Future of Food.

Nutritional science is moving beyond one-size-fits-all recommendations toward more precise and personalized approaches, yet its implementation pathway...

Bisphenol a exposure induces low back pain associated with intervertebral disc degeneration via BIRC3-mediated nucleus pulposus cell senescence.

OBJECTIVE: This study aimed to assess the correlation of bisphenol A (BPA) exposure with low back pain (LBP) and determine if the underlying molecular...

Application of artificial intelligence in synbiotic and functional food development for precision nutrition.

Synbiotic and functional food formulations modulate gut microbiota, SCFA production, immune signalling and metabolic pathways, yet current development...

Digital Implant Dentistry: The Past, the Present, the Future.

Digital implant dentistry has evolved from the analogue fundamentals of osseointegration to a highly data-driven discipline that integrates advanced i...

Theorizing digital-relational harm in nursing.

Digital infrastructures such as platforms, algorithms, and artificial intelligence (AI) are rapidly reshaping the conditions under which nursing care ...

Machine learning-based classification of population affinity in two North Indian populations using morphological dental traits-Forensic implications.

Forensic odontology is a sub-discipline of forensic science, that deals with examination, handling and demonstration of dental evidence for personal i...

Applying Artificial Intelligence and machine learning in precision nutrition.

A key feature of the Precision Nutrition and Health approach is the ability to tailor interventions to individual variability using multimodal data fr...

Phenotypic Differentiation Between Highland and Coastal Quinoa Under Cold Stress Conditions.

Quinoa (Chenopodium quinoa Willd.) is a genetically diverse Andean crop valued for its nutrition and adaptability to varied agro-climatic conditions w...

Exploring AI-Driven Interventions for Preventing and Managing Malnutrition in Older Adults: A Systematic Review.

PURPOSE: The primary objective of this systematic review is to explore the role of AI-driven interventions in preventing and managing malnutrition in ...

Evaluation of Energy and Nutrient Estimates from Large Language Models Using Text-Based Queries.

BACKGROUND: Large language models (LLMs) have emerged as promising tools for estimating energy and nutrient values, yet most existing evaluations focu...

Inflammatory marker-driven deep learning model for postoperative gastric cancer prognosis.

BACKGROUND: Prognostic prediction following gastric cancer surgery plays a pivotal role in postoperative management, helping to optimize therapeutic s...