AIMC Topic: Wound Healing
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Deep learning reveals a damage signalling hierarchy that coordinates different cell behaviours driving wound re-epithelialisation.
Development (Cambridge, England)
Sep 24, 2024
One of the key tissue movements driving closure of a wound is re-epithelialisation. Earlier wound healing studies describe the dynamic cell behaviours that contribute to wound re-epithelialisation, including cell division, cell shape changes and cell...
Deep learning for rapid analysis of cell divisions in vivo during epithelial morphogenesis and repair.
eLife
Sep 23, 2024
Cell division is fundamental to all healthy tissue growth, as well as being rate-limiting in the tissue repair response to wounding and during cancer progression. However, the role that cell divisions play in tissue growth is a collective one, requir...
Using deep learning for predicting the dynamic evolution of breast cancer migration.
Computers in biology and medicine
Jul 27, 2024
BACKGROUND: Breast cancer (BC) remains a prevalent health concern, with metastasis as the main driver of mortality. A detailed understanding of metastatic processes, particularly cell migration, is fundamental to improve therapeutic strategies. The w...
The impact of machine learning on the prediction of diabetic foot ulcers - A systematic review.
Journal of tissue viability
Jul 11, 2024
INTRODUCTION: Globally, diabetes mellitus poses a significant health challenge as well as the associated complications of diabetes, such as diabetic foot ulcers (DFUs). The early detection of DFUs is important in the healing process and machine learn...
An automated in vitro wound healing microscopy image analysis approach utilizing U-net-based deep learning methodology.
BMC medical imaging
Jun 25, 2024
BACKGROUND: The assessment of in vitro wound healing images is critical for determining the efficacy of the therapy-of-interest that may influence the wound healing process. Existing methods suffer significant limitations, such as user dependency, ti...
An Improved Clinical and Genetics-Based Prediction Model for Diabetic Foot Ulcer Healing.
Advances in wound care
Mar 5, 2024
The goal of this investigation was to use comprehensive prediction modeling tools and available genetic information to try to improve upon the performance of simple clinical models in predicting whether a diabetic foot ulcer (DFU) will heal. We uti...
Effects of various cross-linked collagen scaffolds on wound healing in rats model by deep-learning CNN.
Computer methods in biomechanics and biomedical engineering
Feb 15, 2024
Scar tissue is connective tissue formed on the wound during the wound-healing process. The most significant distinction between scar tissue and normal tissue is the appearance of covalent cross-linking and the amount of collagen fibers in the tissue....
A novel artificial intelligence-assisted "vascular healing" diagnosis for prediction of future clinical relapse in patients with ulcerative colitis: a prospective cohort study (with video).
Gastrointestinal endoscopy
Jan 10, 2024
BACKGROUND AND AIMS: Image-enhanced endoscopy has attracted attention as a method for detecting inflammation and predicting outcomes in patients with ulcerative colitis (UC); however, the procedure requires specialist endoscopists. Artificial intelli...
Can artificial intelligence replace endoscopists when assessing mucosal healing in ulcerative colitis? A systematic review and diagnostic test accuracy meta-analysis.
Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver
Dec 5, 2023
BACKGROUNDS AND AIMS: Mucosal healing (MH) in inflammatory bowel diseases (IBD) is an important landmark for clinical decision making. Artificial intelligence systems (AI) that automatically deliver the grade of endoscopic inflammation may solve mode...
Implanting deep learning models for burn wound assessment.
Burns : journal of the International Society for Burn Injuries
Nov 19, 2023
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