Exercise & Fitness

Contrastive pre-training and 3D convolution neural network for RNA and small molecule binding affinity prediction.

MOTIVATION: The diverse structures and functions inherent in RNAs present a wealth of potential drug...

Genotypic-phenotypic landscape computation based on first principle and deep learning.

The relationship between genotype and fitness is fundamental to evolution, but quantitatively mappin...

[Preliminary Study on the Identification of Aerobic Vaginitis by Artificial Intelligence Analysis System].

OBJECTIVE: To develop an artificial intelligence vaginal secretion analysis system based on deep lea...

[Preliminary study on automatic quantification and grading of leopard spots fundus based on deep learning technology].

To achieve automatic segmentation, quantification, and grading of different regions of leopard spot...

Development of deep-learning models for real-time anaerobic threshold and peak VO2 prediction during cardiopulmonary exercise testing.

AIMS: Exercise intolerance is a clinical feature of patients with heart failure (HF). Cardiopulmonar...

Deep learning-based BMI inference from structural brain MRI reflects brain alterations following lifestyle intervention.

Obesity is associated with negative effects on the brain. We exploit Artificial Intelligence (AI) to...

Motivation and Learning: Leveraging Artificial Intelligence to Improve Bronchoscopy Performance.

The rough but fascinating road to estimate peak exercise oxygen uptake by resting electrocardiogram-based deep learning.

Machine and Deep Learning: Artificial Intelligence Application in Biotic and Abiotic Stress Management in Plants.

Biotic and abiotic stresses significantly affect plant fitness, resulting in a serious loss in food ...

An XGBoost Machine Learning Based Model for Predicting Ki-67 Value ≥ 15% in TNM Stage Primary Breast Cancer Receiving Neoadjuvant Chemotherapy Using Clinical Data and Delta-Radiomic Features on Ultrasound Images and Overall Survival Analysis: A 5-Year Postoperative Follow-Up Study.

To establish a model based on clinical and delta-radiomic features within ultrasound images using X...

[Establishment of comprehensive evaluation models of physical fitness of the elderly based on machine learning].

The present study aims to establish comprehensive evaluation models of physical fitness of the elder...

Shape-aware Segmentation of the Placenta in BOLD Fetal MRI Time Series.

Blood oxygen level dependent (BOLD) MRI time series with maternal hyperoxia can assess placental oxy...

Association of Vitamin D with Risk Factors for Coronary Artery Disease.

Vitamin D safeguards cardiovascular health by reducing inflammation and susceptibility to atheroma. ...

A multi-scale expression and regulation knowledge base for Escherichia coli.

Transcriptomic data is accumulating rapidly; thus, scalable methods for extracting knowledge from th...

Automated detection of apoptotic bodies and cells in label-free time-lapse high-throughput video microscopy using deep convolutional neural networks.

MOTIVATION: Reliable label-free methods are needed for detecting and profiling apoptotic events in t...

Generative models for protein sequence modeling: recent advances and future directions.

The widespread adoption of high-throughput omics technologies has exponentially increased the amount...

Total Force Fitness Standardization: Leveraging Policy and Metrics to Inform and Accelerate Implementation.

Total Force Fitness (TFF) metrics inform leaders at every level as they develop and evaluate policie...

ActivePPI: quantifying protein-protein interaction network activity with Markov random fields.

MOTIVATION: Protein-protein interactions (PPI) are crucial components of the biomolecular networks t...

Impedance Control of a 2-DOF Spherical 5-Bar Exoskeleton for Physical Human-Robot Interaction During Rehabilitation and Assessment.

This paper presents a novel impedance controller for THINGER (THumb INdividuating Grasp Exercise Rob...

Functional MRI Assessment of Brain Activity During Hand Rehabilitation with an MR-Compatible Soft Glove in Chronic Stroke Patients: A Preliminary Study.

Brain plasticity plays a significant role in functional recovery after stroke, but the specific bene...

Learning protein fitness landscapes with deep mutational scanning data from multiple sources.

One of the key points of machine learning-assisted directed evolution (MLDE) is the accurate learnin...