Exercise & Fitness

Investigating the benefits of artificial neural networks over linear approaches to BMI decoding.

Brain-machine interfaces (BMI) aim to restore function to persons living with spinal cord injuries b...

Modelling Complex Spatial Distribution in Central Italy: A Random Forest Approach Revealing Underrepresented Lowland Populations Based on Spatially-Explicit Predictors.

Species distribution models are powerful tools to infer ecology and support management of conservati...

Prime editor-based high-throughput screening reveals functional synonymous mutations in human cells.

Synonymous mutations are generally considered neutral, while their roles in the human genome remain ...

Evaluating a brief smartphone-based stress management intervention with heart rate biofeedback from built-in sensors in a three arm randomized controlled trial.

Perceived stress is prevalent in industrial societies, negatively impacting mental health. Smartphon...

Correction: Machine learning for cardio-oncology: predicting global longitudinal strain from conventional echocardiographic measurements in cancer patients.

Droplet microfluidics integrated with machine learning reveals how adipose-derived stem cells modulate endocrine response and tumor heterogeneity in ER breast cancer.

Approximately 70% of breast cancer (BC) diagnoses are estrogen receptor positive (ER) with ∼40% of E...

Exploring the potential of artificial intelligence in individualized cognitive training: A systematic review.

To tackle the challenge of responders heterogeneity, Cognitive Training (CT) research currently leve...

Artificial neural networks computing for heat transfer flow of hybrid nanofluid in rectangular geometry.

This study explores the complex dynamics of heat transfer in hybrid nanofluid flow, focusing on the ...

The utility of an artificial intelligence model based on decision tree and evolution algorithm to evaluate steatotic liver disease in a primary care setting.

Many ways of classifying steatotic liver disease (SLD) with metabolic conditions have been proposed....

Does restrictive anorexia nervosa impact brain aging? A machine learning approach to estimate age based on brain structure.

Anorexia nervosa (AN), a severe eating disorder marked by extreme weight loss and malnutrition, lead...

Effects of the lumbar support function of wearable robot (Bot Fit) on sitting position.

BACKGROUND: Sedentary lifestyles can lead to musculoskeletal disorders, but proper sitting posture, ...

Designing diverse and high-performance proteins with a large language model in the loop.

We present a protein engineering approach to directed evolution with machine learning that integrate...

The effects of learning experience on college students' deep english learning: a study of the chain mediation effect of motivation and strategy.

This study focuses on the impact of learning experience on college students' deep learning of Englis...

Energy consumption analysis and prediction in exercise training based on accelerometer sensors and deep learning.

This study aims to enhance the accuracy and efficiency of energy consumption prediction during exerc...

Data-driven diabetes mellitus prediction and management: a comparative evaluation of decision tree classifier and artificial neural network models along with statistical analysis.

Diabetes Mellitus is a chronic metabolic disorder affecting a substantial global population leading ...

Semi-supervised prediction of protein fitness for data-driven protein engineering.

Protein fitness prediction plays a crucial role in the advancement of protein engineering endeavours...

Predictive model establishment for forward-head posture disorder in primary-school-aged children based on multiple machine learning algorithms.

BACKGROUND: Forward head posture frequently occurs among primary school children, potentially due to...

A Novel and Modern Calculator to Predict Vaginal Birth after Cesarean Delivery.

Counseling patients who are considering a trial of labor after cesarean (TOLAC) is a challenging tas...

Combining flow virometry with tree-based machine learning models for rapid virus particle estimation in different wastewater matrices.

Enumerating virus particles (VPs) at different stages of the wastewater treatment process or along t...

What are we learning with Yoga? Mapping the scientific literature on Yoga using a vector-text-mining approach.

The techniques used in yoga have roots in traditions that precede modern science. Research shows tha...

Using Large Language Models to Enhance Exercise Recommendations and Physical Activity in Clinical and Healthy Populations: Scoping Review.

BACKGROUND: Regular exercise recommendations (ERs) and physical activity (PA) are crucial for the pr...