AIMC Topic: Muscle, Skeletal

Clear Filters Showing 431 to 440 of 526 articles

Hierarchical Transformer Fusion of Gaze Attention and Muscle Activity for Forearm Movement Estimation.

IEEE transactions on bio-medical engineering
Tracking forearm movement via measured physiological signals is crucial for understanding human motor control mechanism. Current methods mainly use muscle-derived signals to predict arm movements while often overlooking the potential role of gaze att...

BOLA3 as a key protein for the treatment of diabetic skeletal muscle atrophy.

International immunopharmacology
OBJECTIVE: Skeletal muscle is crucial for glucose metabolism, but diabetes impairs this function, leading to muscle atrophy. Although the mutation of BOLA Family Member 3 (BOLA3) resulted in disease Multiple Mitochondrial Dysfunctions Syndrome, the r...

Application of machine learning for optimizing biomarker combinations and guiding decisions on meat authentication.

Meat science
This paper tested the relevance of two machine learning approaches (decision trees, DTs; and random forest models, RFs) applied to meat authentication. DT allow to select and rank potential biomarkers according to their respective discriminatory powe...

Transcriptome analysis and machine learning methods reveal potential mechanisms of zebrafish muscle aging.

Comparative biochemistry and physiology. Part D, Genomics & proteomics
Muscle is one of the most abundant tissues in the human body, and its aging usually leads to many adverse consequences. Zebrafish is a powerful model used to study human muscle diseases, yet we know little about the molecular mechanisms of muscle agi...

Porous-Structure Flexible Muscle Sensor for Monitoring Muscle Function and Mass.

ACS sensors
Muscle function and composition are important indicators of age-related health. However, current assessment methods are often complex and expensive, making the early detection of related problems difficult. Therefore, developing a cost-effective and ...

ODIASP: An Open-Source Software for Automated SMI Determination-Application to an Inpatient Population.

Journal of cachexia, sarcopenia and muscle
BACKGROUND: The diagnosis of malnutrition has evolved with the GLIM recommendations, which advocate for integrating phenotypic criteria, including muscle mass measurement. The GLIM framework specifically suggests using skeletal muscle index (SMI) ass...

A Minimal Annotation Pipeline for Deep Learning Segmentation of Skeletal Muscles.

NMR in biomedicine
Translating quantitative skeletal muscle MRI biomarkers into clinics requires efficient automatic segmentation methods. The purpose of this work is to investigate a simple yet effective iterative methodology for building a high-quality automatic segm...

Deep learning-quantified body composition from positron emission tomography/computed tomography and cardiovascular outcomes: a multicentre study.

European heart journal
BACKGROUND AND AIMS: Positron emission tomography (PET)/computed tomography (CT) myocardial perfusion imaging (MPI) is a vital diagnostic tool, especially in patients with cardiometabolic syndrome. Low-dose CT scans are routinely performed with PET f...

Targeted Muscle Reinnervation and Regenerative Peripheral Nerve Interface for Myoelectric Prosthesis Control: The State of Evidence.

Annals of plastic surgery
Prosthetic rehabilitation after amputation poses significant challenges, often due to functional limitations, residual limb pain (RLP), and phantom limb pain (PLP). These issues not only affect physical health but also mental well-being and quality o...