AIMC Topic: Wound Healing

Clear Filters Showing 31 to 40 of 94 articles

2D/3D Wound Segmentation and Measurement Based on a Robot-Driven Reconstruction System.

Sensors (Basel, Switzerland)
Chronic wounds, are a worldwide health problem affecting populations and economies as a whole. With the increase in age-related diseases, obesity, and diabetes, the costs of chronic wound healing will further increase. Wound assessment should be fast...

Proper Orthogonal Decomposition Analysis Reveals Cell Migration Directionality During Wound Healing.

Annals of biomedical engineering
A proper orthogonal decomposition (POD) order reduction method was implemented to reduce the full high dimensional dynamical system associated with a wound healing cell migration assay to a low-dimensional approximation that identified the prevailing...

Intelligent Wearable Sensors Interconnected with Advanced Wound Dressing Bandages for Contactless Chronic Skin Monitoring: Artificial Intelligence for Predicting Tissue Regeneration.

Analytical chemistry
Toward the adoption of artificial intelligence-enabled wearable sensors interconnected with intelligent medical objects, this contactless multi-intelligent wearable technology provides a solution for healthcare to monitor hard-to-heal wounds and crea...

Automatic wound detection and size estimation using deep learning algorithms.

PLoS computational biology
Evaluating and tracking wound size is a fundamental metric for the wound assessment process. Good location and size estimates can enable proper diagnosis and effective treatment. Traditionally, laboratory wound healing studies include a collection of...

Automatic Robot-Driven 3D Reconstruction System for Chronic Wounds.

Sensors (Basel, Switzerland)
Chronic wounds, or wounds that are not healing properly, are a worldwide health problem that affect the global economy and population. Alongside with aging of the population, increasing obesity and diabetes patients, we can assume that costs of chron...

ColGen: An end-to-end deep learning model to predict thermal stability of de novo collagen sequences.

Journal of the mechanical behavior of biomedical materials
Collagen is the most abundant structural protein in humans, with dozens of sequence variants accounting for over 30% of the protein in an animal body. The fibrillar and hierarchical arrangements of collagen are critical in providing mechanical proper...

Transcorneal delivery of topically applied silver nanoparticles does not delay epithelial wound healing.

NanoImpact
Silver nanoparticles (AgNPs) are a common antimicrobial additive for a variety of applications, including wound care. However, AgNPs often undergo dissolution resulting in release of silver ions, with subsequent toxicity to mammalian cells. The corne...

Machine learning analysis of multispectral imaging and clinical risk factors to predict amputation wound healing.

Journal of vascular surgery
OBJECTIVE: Prediction of amputation wound healing is challenging due to the multifactorial nature of critical limb ischemia and lack of objective assessment tools. Up to one-third of amputations require revision to a more proximal level within 1 year...

Methodology for comprehensive cell-level analysis of wound healing experiments using deep learning in MATLAB.

BMC molecular and cell biology
BACKGROUND: Endothelial healing after deployment of cardiovascular devices is particularly important in the context of clinical outcome. It is therefore of great interest to develop tools for a precise prediction of endothelial growth after injury in...