Primary Care

Exercise & Fitness

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

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MOViDA: multiomics visible drug activity prediction with a biologically informed neural network model.

MOTIVATION: The process of drug development is inherently complex, marked by extended intervals from...

Transfer learning for drug-target interaction prediction.

MOTIVATION: Utilizing AI-driven approaches for drug-target interaction (DTI) prediction require larg...

Genome-wide scans for selective sweeps using convolutional neural networks.

MOTIVATION: Recent methods for selective sweep detection cast the problem as a classification task a...

Climacturia and Penile Length Shortening: Adverse Outcomes following Robot-Assisted Radical Prostatectomy.

While erectile dysfunction and urinary incontinence are commonly cited side effects following radic...

Few-Shot and Prompt Training for Text Classification in German Doctor's Letters.

To classify sentences in cardiovascular German doctor's letters into eleven section categories, we u...

[Clinical study of bilateral axillo-breast approach robot in obese women with thyroid cancer].

To explore the safety and feasibility of bilateral axillo-breast approach (BABA) robot in the operat...

AFTGAN: prediction of multi-type PPI based on attention free transformer and graph attention network.

MOTIVATION: Protein-protein interaction (PPI) networks and transcriptional regulatory networks are c...

CAPLA: improved prediction of protein-ligand binding affinity by a deep learning approach based on a cross-attention mechanism.

MOTIVATION: Accurate and rapid prediction of protein-ligand binding affinity is a great challenge cu...

A Machine Learning-Based Initial Difficulty Level Adjustment Method for Balance Exercise on a Trunk Rehabilitation Robot.

Trunk rehabilitation exercises such as those for remediating core stability can help improve the sea...

Discovering misannotated lncRNAs using deep learning training dynamics.

MOTIVATION: Recent experimental evidence has shown that some long non-coding RNAs (lncRNAs) contain ...

Digitally predicting protein localization and manipulating protein activity in fluorescence images using 4D reslicing GAN.

MOTIVATION: While multi-channel fluorescence microscopy is a vital imaging method in biological stud...

DeepToA: an ensemble deep-learning approach to predicting the theater of activity of a microbiome.

MOTIVATION: Metagenomics is the study of microbiomes using DNA sequencing. A microbiome consists of ...

Predicting and explaining the impact of genetic disruptions and interactions on organismal viability.

MOTIVATION: Existing computational models can predict single- and double-mutant fitness but they do ...

Increase and Decrease in Velocity and Force During Exercise with a Hybrid Robotic-FES Rehabilitation System.

Early rehabilitation is beneficial for stroke patients, but it is often delayed since the patients a...

Design and Preliminary Evaluation of a Robot-assisted Assessment-driven Finger Proprioception Therapy.

Neurological injuries such as stroke often lead to motor and somatosensory impairments of the hand. ...

Learning Dynamic Patient-Robot Task Assignment and Scheduling for A Robotic Rehabilitation Gym.

A robotic rehabilitation gym is a setup that allows multiple patients to exercise together using mul...

Redistributing Ground Reaction Forces During Squatting Using a Cable-Driven Robotic Device.

Squatting is a dynamic task that is often done for strengthening and improving balance. Most squat t...

Information sparseness in cortical microelectrode channels while decoding movement direction using an artificial neural network.

Implanted microelectrode arrays can directly pick up electrode signals from the primary motor cortex...

[Research advances on functional training robots in burn rehabilitation].

Patients with deep burns are prone to suffer cicatrix hyperplasia or contracture, leading to problem...

Bottom-Up Natural Language Processing Based Evaluation of the Fitness of UMLS as a Semantic Source for a Computer Interpretable Guidelines Ontology.

BACKGROUND: CIGs languages consist of approach specific concepts. More widely used concepts, such as...

The Relationship Between Technical Skills, Cognitive Workload, and Errors During Robotic Surgical Exercises.

We attempt to understand the relationship between surgeon technical skills, cognitive workload, and...

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