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Association of serum albumin redox state with dietary protein intake and frailty in older adults: A cross-sectional study.

BACKGROUND AND AIMS: Biomarkers of protein nutritional status are essential for understanding the relationship between diet and frailty. The fraction of mercaptoalbumin in total serum albumin (f(HMA)) is associated with protein deficiency and physical function in older adults. However, whether f(HMA) explains the relationship between protein intake and frailty remains unclear. We aimed to determin...

Reply to: From traditional to artificial intelligence-driven approaches: Revolutionizing personalized and precision nutrition in inflammatory bowel disease.

Artificial intelligence for food innovation.

Global food systems must deliver nutritious, sustainable foods while sharply reducing environmental impact. Yet, food innovation remains slow, empiric...

Dosimetry of Inhaled Aerosols: From Exposure to Target Tissue Dose in Risk Assessment and Drug Delivery.

Inhaled aerosol dosimetry is a critical discipline bridging exposure to biological effect in both therapeutic and toxicological contexts. This review ...

[Artificial intelligence empowers prosthodontics: opportunities and challenges of technological integration and disciplinary innovation].

The rapid development of artificial intelligence (AI) technology has injected new impetus into the digital transformation and high-quality development...

Machine learning-assisted smart electrochemical platform: High-sensitivity simultaneous detection of rutin and luteolin in biological samples.

Rutin (Rn) and luteolin (Lu), as important plant-derived natural compounds, hold significant value in the fields of medicine, nutrition, and food scie...

Transferring ways of thinking and mathematizing: The statistical approach between physics and biology.

I pose the epistemological question of what makes the transfer of statistical approaches across disciplines, specifically between physics and biology,...

Comment on "From traditional to artificial intelligence-driven approaches: Revolutionizing personalized and precision nutrition in inflammatory bowel disease".

Innovation districts and transformative workspaces: A scoping review of AI-pet robots companionship for aging employees balancing productivity and wellbeing.

BACKGROUND: Considering the future of work and an aging workforce, emerging technologies such as artificial intelligence (AI) and robots are promising...

Construction and evaluation of a CatBoost-based machine learning model for sarcopenia prediction using bioelectrical impedance analysis (BIA) and handgrip strength (HGS) from a nationally representative dataset of Korean older adults.

This study aimed to develop and validate an explainable machine learning model for predicting sarcopenia in older adults using nationally representati...

From Cardioprotection to Trial Design: Rethinking Cardiac Safety in Oncology.

PURPOSE OF REVIEW: Cardio-oncology has emerged as a pivotal discipline aimed at preserving cardiovascular health in patients undergoing contemporary c...

Polygon-Aware Deep Learning Framework for Meal-Level Nutrition Estimation From Food Images.

Accurate estimation of meal-level nutritional content from food images is a challenging yet essential task for automated dietary assessment. Although ...

An Emergency-deployable Albumin-enhanced NLR Derived by Machine Learning Improves Risk Stratification in Lung Cancer: A Multicenter Cohort Study.

BACKGROUND/AIM: Systemic inflammation is tightly linked to lung cancer prognosis, yet widely used blood-based indices show only modest discrimination....

A comprehensive analysis of occupational health and safety risks in civil aviation cargo: Insights from FF-DEMATEL.

BackgroundCivil aviation cargo operations have expanded rapidly, but the occupational health and safety risks faced by cargo workers are still rarely ...

Can Artificial Intelligence Be Utilised to Develop Point-of-Care Endodontic Microbiological Technologies?

BACKGROUND: Primary or persistent endodontic disease is caused by microbial biofilms that irritate the pulp and periapical tissues. Extensive microbio...

Combined Effects and Potential Mechanisms of Multiple Metals Exposure on Coronary Artery Disease in the US Population: An Integrated Epidemiological and Network Toxicology Study.

Coronary artery disease (CAD) emerged as a major global health burden, but the relationship between multiple metals exposure and CAD and its toxicolog...

Tephritid26: A standardized, multi-angle image dataset of quarantine-significant true fruit flies for deep learning-based identification.

Accurate and rapid identification of quarantine-significant tephritids is critical to global agricultural biosecurity, but the application of deep lea...

Predicting children's undernutrition and its association with women's asset ownership in Ethiopia: spatial machine learning.

Child undernutrition remains a critical public health concern, with prominent geographic and structural disparities in Ethiopia. Understanding how wom...

Association between sources of nutrition information and self-perceived nutrition competence of healthcare professionals: a cross-sectional study.

BACKGROUND: Healthcare professionals other than dietitians are widely perceived as credible sources of nutrition information by patients, despite many...

Identifying the ideal deep learning algorithm to quantify the threshold effect of parental smoking on child nutritional status in South Asia.

BACKGROUND: Accurate identification of modifiable risk factors for child malnutrition is of great importance in the formulation of policies to protect...