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Introducing societal issues in an upper level STEM course increases student engagement and knowledge transfer.

The ability of students to transfer their knowledge and understanding learned from one context to a novel context is the ultimate goal of education. Creating assignments that engage students through something they care about can help create the environment where deep learning can occur. Introducing social justice issues in the STEM classroom is a powerful motivator for many of our current generati...

Development and Validation of a Lifestyle-Based 10-Year Risk Prediction Model of Colorectal Cancer for Early Stratification: Evidence from a Longitudinal Screening Cohort in China.

Colorectal cancer (CRC) remains one of the leading causes of cancer-related mortality worldwide, with growing evidence linking risk to lifestyle and dietary factors. However, nutrition-related exposures have rarely been integrated into existing CRC risk prediction models. This study aimed to develop and validate a lifestyle-based 10-year CRC risk prediction model using longitudinal data from a la...

Evaluating the impact of metabolic indicators and scores on cardiovascular events using machine learning.

Cardiovascular diseases such as coronary artery disease, myocardial infarction, and heart failure impact millions of people annually globally and are ...

A machine learning-based prediction of diabetic retinopathy using the Korea national health and nutrition examination survey (2008-2012, 2017-2021).

BACKGROUND: Machine learning technology that uses available clinical data to predict diabetic retinopathy (DR) can be highly valuable in medical setti...

Unlocking the potential of flavonoid biosynthesis through integrated metabolic engineering.

Flavonoids are a diverse class of plant polyphenols with essential roles in development, defense, and environmental adaptation, as well as significant...

Development of a data-driven urban immunity assessment model: providing a new benchmark for urban governance under public health emergencies.

Public health emergencies (PHEs) pose significant challenges to global urban governance systems, necessitating the establishment of more efficient and...

Genomic advancements in goat breeding: enhancing productivity, disease resistance, and sustainability in India's rural economy.

Goats are vital to the rural economy of India, contributing significantly to livelihoods, nutrition, and agricultural sustainability. With a populatio...

Machine Learning with Ingredient-Level Food Trees Reveals Contributors to Systemic Inflammation Among Adults in the National Health and Nutrition Examination Survey, 2001-2010 and 2015-2018.

BACKGROUND: Methods for modeling the relationship between self-reported 24-hour dietary recalls and health outcomes are traditionally based on nutrien...

DRPM: An advanced predictive model for early diabetes detection and risk stratification.

Diabetes is a prevalent chronic disease that poses a significant burden on individuals and healthcare systems. Early diagnosis and effective managemen...

Age-Related Differences in Risk Factors for Long-Term Care Certification in Japan: A Decision Tree Analysis Spanning 3 Years.

Ensuring healthy aging and extending health span is critical, particularly in aging societies. This study analyzed patterns of risk for long-term care...

Comprehensive analysis of the association between volatile organic compound pollutants and chronic kidney disease in hypertensive populations: insights from multi-omics approaches and identification of potential therapeutic targets.

Environmental pollutants, including volatile organic compounds (VOCs), are increasingly linked to chronic kidney disease (CKD), yet this association i...

Structure from motion-convolutional neural network model (SfM-CNN) achieved accurate portable Chinese dietary chemical composition estimation for dietary recall.

Accurately estimating the chemical composition of dietary intake is essential for health and nutrition management, especially in regions with complex ...

A Comprehensive Workflow for Imaging Live Insulin Secretion Events and Granules in Intact Islets.

Accurate detection of insulin secretion from pancreatic beta cells is crucial for understanding normal physiological insulin secretion and its pathoph...

Abolish Psychiatry, Abolish Neurology: Toward a Unified Discipline of Brain Medicine.

The longstanding division between psychiatry and neurology is a historical artifact, not a scientific necessity. Despite addressing the same organ, th...

Improved estimation of forage nitrogen in alpine grassland by integrating Sentinel-2 and SIF data.

Nitrogen is an essential element for the growth and reproduction of vegetation in alpine grasslands and plays a vital role in determining the nutrient...

Process management method in head and neck cancer patient care.

Management of patients with head and neck cancer (HNC) is a complex process that involves extensive knowledge on (at least) the discipline of surgery,...

A web-based tool for predicting gastric ulcers in Chinese elderly adults based on machine learning algorithms and noninvasive predictors: A national cross-sectional and cohort study.

BACKGROUND: As the Chinese population continues to age, the prevalence of gastric ulcers, a common nutrition and diet-related disorder, is rising amon...

Technology advances in the placement of naso-enteral tubes and in the management of enteral feeding in critically ill patients: A narrative study.

Enteral feeding needs secure access to the upper gastrointestinal tract, an evaluation of the gastric function to detect gastrointestinal intolerance,...

Optimization of Protein Extraction from Rapeseed Oil Cake by Dephenolization Process for Scale-Up Application Using Artificial Neural Networks.

Rapeseed proteins, due to their quality and wide availability, have great potential for application in human nutrition. However, their high content of...

Rapid detection of honey adulteration using machine learning on gas sensor data.

Honey has long been an essential component of human nutrition, valued for its health benefits and economic significance. However, honey adulteration p...