Parenting

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, highlighting its potential benefits and ethical challenges. While genAI tools like ChatGPT can assist health coaches in brainstorming nutrition and fitness ideas, they also risk encouraging practices outside scope of practice. We propose guidelines for health coaches to responsibly integrate genAI ...

Forensic odontology: a comprehensive review of advances and applications in dental forensic medicine.

Forensic odontology is essential in medico-legal investigations, aiding in the identification of individuals, particularly in cases involving decomposed or severely damaged remains. Teeth, due to their durability and uniqueness, serve as critical forensic markers. This field also plays a role in age estimation, bite mark analysis, and legal disputes related to dental malpractice. Key forensic dent...

Edible aquatic robots with Marangoni propulsion.

Centimeter-scale aquatic robots could be used in environmental monitoring, exploration, and intervention in aquatic environments. However, existing ro...

Infodemic Versus Viral Information Spread: Key Differences and Open Challenges.

As we move beyond the COVID-19 pandemic, the risk of future infodemics remains significant, driven by emerging health crises and the increasing influe...

AI-driven personalized nutrition: RAG-based digital health solution for obesity and type 2 diabetes.

Effective management of obesity and type 2 diabetes is a major global public health challenge that requires evidence-based, scalable personalized nutr...

Improving fine-grained food classification using deep residual learning and selective state space models.

BACKGROUND: Food classification is the foundation for developing food vision tasks and plays a key role in the burgeoning field of computational nutri...

Associations between urinary and blood heavy metal exposure and heart failure in elderly adults: Insights from an interpretable machine learning model based on NHANES (2003-2020).

BACKGROUND: The relationship between heavy metal exposure and heart failure is complex and poorly understood. This study employs machine learning tech...

Unraveling MASLD: The Role of Gut Microbiota, Dietary Modulation, and AI-Driven Lifestyle Interventions.

Gut microbiota has a crucial role in the pathophysiology of metabolic-associated steatotic liver disease (MASLD), influencing various metabolic mechan...

ASAS-NANP SYMPOSIUM: MATHEMATICAL MODELING IN ANIMAL NUTRITION: Harnessing Real-Time Data and Digital Twins for Precision Livestock Farming.

The increasing population and urbanization have intensified livestock production, raising concerns about sustainability, animal welfare, and disease t...

ASAS-NANP SYMPOSIUM: MATHEMATICAL MODELING IN ANIMAL NUTRITION: Application of modeling innovations to support satellite remote sensing for sustainable grazing cattle management.

Integrating modeling innovations and satellite remote sensing technology offers a transformative approach to sustainable grazing cattle management. Ma...

Natural Language Processing and Machine Learning Techniques for Analyzing Conversations About Nutritional Yeasts in the United States and France: Retrospective Social Media Listening Study.

BACKGROUND: Nutritional yeast, an inactive form of Saccharomyces cerevisiae, has recently become increasingly popular as a food supplement and healthy...

Factors influencing short-term and long-term survival rates in stroke patients receiving enteral nutrition: a machine learning approach using MIMIC-IV database.

PURPOSE: This study aims to evaluate the survival and mortality rates of stroke patients after receiving enteral nutrition, and to explore factors inf...

Modeling the number of new cases of childhood type 1 diabetes using Poisson regression and machine learning methods; a case study in Saudi Arabia.

Diabetes mellitus stands out as one of the most prevalent chronic conditions affecting pediatric populations. The escalating incidence of childhood ty...

Constructing machine learning-based risk prediction model for osteoarthritis in population aged 45 and above: NHANES 2011-2018.

Osteoarthritis is a widespread chronic joint disease, becoming increasingly prevalent, particularly among individuals over the age of 45. This conditi...

Dynamic simulation of knee joint mechanics: individualized multi-moment finite element modelling of patellar tendon stress during landing.

Patellar tendinopathy is prevalent in sports requiring high jumping demands, and understanding the in vivo biomechanical behavior of the patellar tend...

SmartBerry for AI-based growth stage classification and precision nutrition management in strawberry cultivation.

Agriculture is vital for human sustenance and economic stability, with increasing global food demand necessitating innovative practices. Traditional f...

Artificial intelligence real-time automated recognition of the gastric antrum cross-sectional area and motility rhythm via bedside ultrasound: a pilot study.

The cross-sectional area (CSA) of the gastric antrum and its motility rhythm reflects the gastrointestinal function of critically ill patients. Monito...

Deep learning for microbiome-informed precision nutrition.

Machine learning model for age related macular degeneration based on pesticides: the National Health and Nutrition Examination Survey 2007-2008.

Age-related macular degeneration (AMD) is the most common cause of irreversible deterioration of vision in older adults. Previous studies have found t...

Physiological and morphological impact of physical activity and nutritional interventions to offset disuse-induced skeletal muscle atrophy.

Skeletal muscle tissue acts as a functional unit for physical movements, energy metabolism, thermogenesis, and metabolic homeostasis. In this literatu...