AIMC Topic: Collagen
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Microscopic computed tomography with AI-CNN-powered image analysis: the path to phenotype bleomycin-induced lung injury.
American journal of physiology. Cell physiology
Apr 22, 2024
Bleomycin (BLM)-induced lung injury in mice is a valuable model for investigating the molecular mechanisms that drive inflammation and fibrosis and for evaluating potential therapeutic approaches to treat the disease. Given high variability in the BL...
Collagen and elastic fibers assessment of the human heart valves for age estimation in Thais using image analysis.
Forensic science, medicine, and pathology
Apr 18, 2024
The study investigated the relationship between the histological compositions of the tricuspid, pulmonary, mitral, and aortic valves, and age. All 85 fresh human hearts were obtained with an age range between 20 and 90 years. The central area of the ...
Multimodal characterization of the collagen hydrogel structure and properties in response to physiologically relevant pH fluctuations.
Acta biomaterialia
Feb 28, 2024
pH fluctuations within the extracellular matrix (ECM) and its principal constituent collagen, particularly in solid tumors and chronic wounds, may influence its structure and function. Whereas previous research examined the impact of pH on collagen f...
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....
Collagen fiber centerline tracking in fibrotic tissue via deep neural networks with variational autoencoder-based synthetic training data generation.
Medical image analysis
Sep 12, 2023
The role of fibrillar collagen in the tissue microenvironment is critical in disease contexts ranging from cancers to chronic inflammations, as evidenced by many studies. Quantifying fibrillar collagen organization has become a powerful approach for ...
Discovering design principles of collagen molecular stability using a genetic algorithm, deep learning, and experimental validation.
Proceedings of the National Academy of Sciences of the United States of America
Sep 26, 2022
Collagen is the most abundant structural protein in humans, providing crucial mechanical properties, including high strength and toughness, in tissues. Collagen-based biomaterials are, therefore, used for tissue repair and regeneration. Utilizing col...
CollagenTransformer: End-to-End Transformer Model to Predict Thermal Stability of Collagen Triple Helices Using an NLP Approach.
ACS biomaterials science & engineering
Sep 23, 2022
Collagen is one of the most important structural proteins in biology, and its structural hierarchy plays a crucial role in many mechanically important biomaterials. Here, we demonstrate how transformer models can be used to predict, directly from the...
Predicting and understanding arterial elasticity from key microstructural features by bidirectional deep learning.
Acta biomaterialia
May 25, 2022
Microstructural features and mechanical properties are closely related in all soft biological tissues. Both yet exhibit considerable inter-individual differences and are affected by factors such as aging and disease and its progression. Histological ...
Deep learning identification of stiffness markers in breast cancer.
Biomaterials
Apr 27, 2022
While essential to our understanding of solid tumor progression, the study of cell and tissue mechanics has yet to find traction in the clinic. Determining tissue stiffness, a mechanical property known to promote a malignant phenotype in vitro and in...
Structural, functional and molecular pathogenesis of pelvic organ prolapse in patient and deficient mice.
Aging
Dec 19, 2021
Pelvic organ prolapse is a worldwide health problem to elderly women. Understanding its pathogenesis and an ideal animal model are crucial to developing promising treatments. The present study aimed to investigate new clinical significance and detail...
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