Primary Care

Exercise & Fitness

Latest AI and machine learning research in exercise & fitness for healthcare professionals.

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DeepREAL: a deep learning powered multi-scale modeling framework for predicting out-of-distribution ligand-induced GPCR activity.

MOTIVATION: Drug discovery has witnessed intensive exploration of predictive modeling of drug-target...

Pre-training graph neural networks for link prediction in biomedical networks.

MOTIVATION: Graphs or networks are widely utilized to model the interactions between different entit...

Deep learning-based ballistocardiography reconstruction algorithm on the optical fiber sensor.

Ballistocardiography (BCG) is a vibration signal related to cardiac activity, which can be obtained ...

The efficacy of robot-assisted training for patients with upper limb amputations who use myoelectric prostheses: a randomized controlled pilot study.

The aim of this pilot study was to investigate whether a movement therapy robot can improve skills i...

ZoomQA: residue-level protein model accuracy estimation with machine learning on sequential and 3D structural features.

MOTIVATION: The Estimation of Model Accuracy problem is a cornerstone problem in the field of Bioinf...

[Comparison of hip offset and rotation center reconstruction between robot-assisted and manual total hip arthroplasty].

To compare the differences of hip offset and rotation center reconstruction between robot-assisted ...

Effects of Exercise-Diet Therapy on Cognitive Function in Healthy Elderly People Evaluated by Deep Learning Based on Basic Blood Test Data.

BACKGROUND: Recent studies reported that vascular cognitive impairment in the elderly caused by arte...

Machine Learning-driven Protein Library Design: A Path Toward Smarter Libraries.

Proteins are small yet valuable biomolecules that play a versatile role in therapeutics and diagnost...

Robot-Assisted Total Laparoscopic Hysterectomy in Different Classes of Obesity: A Cohort Study.

BACKGROUND AND OBJECTIVES: Robot-assisted laparoscopic hysterectomy is a safe and feasible approach ...

Organism-specific training improves performance of linear B-cell epitope prediction.

MOTIVATION: In silico identification of linear B-cell epitopes represents an important step in the d...

[Exploration of applying machine learning in establishment of vitamin D classifiers among Chinese elderly].

To establish vitamin D classification models for Chinese elderly using machine learning techniques....

Using artificial intelligence to automate meat cut identification from the semimembranosus muscle on beef boning lines.

The identification of different meat cuts for labeling and quality control on production lines is st...

Minding the gaps: The importance of navigating holes in protein fitness landscapes.

Machine-learning-guided protein design is rapidly emerging as a strategy to find high-fitness multi-...

phyLoSTM: a novel deep learning model on disease prediction from longitudinal microbiome data.

MOTIVATION: Research shows that human microbiome is highly dynamic on longitudinal timescales, chang...

Proprioceptive Gaming: Making Finger Sensation Training Intense and Engaging with the P-Pong Game and PINKIE Robot.

Proprioceptive deficits are common after a stroke and are thought to negatively impact motor learnin...

A Machine Learning Approach for Prediction of Sedentary Behavior Based on Daily Step Counts.

Sedentary behavior is considered as a major public health challenge, linked with many chronic diseas...

Assessing Physical Rehabilitation Exercises using Graph Convolutional Network with Self-supervised regularization.

Computer-vision techniques provide a way to conduct low-cost, portable, and real-time evaluations of...

Efficient J Peak Detection From Ballistocardiogram Using Lightweight Convolutional Neural Network.

Ballistocardiagram (BCG) is a non-contact and non-invasive technique to obtain physiological informa...

Can BMI be a predictor of perioperative complications in Head and Neck cancer surgery?

<b>Introduction:</b> The effect of BMI on development of perioperative complications in ...

Improving feature selection performance for classification of gene expression data using Harris Hawks optimizer with variable neighborhood learning.

Gene expression profiling has played a significant role in the identification and classification of ...

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