Results 51 to 60 of about 100,831 (270)

Pathophysiology of tumor neovascularization [PDF]

open access: yesVascular Health and Risk Management, 2005
Neovascularization is essential to the process of development and differentiation of tissues in the vertebrate embryo, and is also involved in a wide variety of physiological and pathological conditions in adults, including wound repair, metabolic diseases, inflammation, cardiovascular disorders, and tumor progression.
Mitsuko Furuya   +4 more
openaire   +4 more sources

Pharmacological effects of osimertinib on a chicken chorioallantoic membrane xenograft model with the EGFR exon‐19‐deleted advanced NSCLC mutation

open access: yesFEBS Open Bio, EarlyView.
Osimertinib reduces angiogenesis and PDL1 expression in in ovo tumors, transforming them into ‘cold tumors’ with lower immune activity. Anatomopathological and transcriptomic analyses highlight its therapeutic impact on tumor biology. This study underscores osimertinib's potential to reshape the tumor microenvironment and provides insights into its ...
David Barthélémy   +14 more
wiley   +1 more source

KFWC: A Knowledge-Driven Deep Learning Model for Fine-grained Classification of Wet-AMD [PDF]

open access: yesarXiv, 2021
Automated diagnosis using deep neural networks can help ophthalmologists detect the blinding eye disease wet Age-related Macular Degeneration (AMD). Wet-AMD has two similar subtypes, Neovascular AMD and Polypoidal Choroidal Vessels (PCV). However, due to the difficulty in data collection and the similarity between images, most studies have only ...
arxiv  

Aging‐Driven Blood–Brain Barrier Dysfunction and Its Impact on CNS Cancer Susceptibility: A Comprehensive Narrative Review

open access: yesAging and Cancer, EarlyView.
Aging weakens the blood–brain barrier (BBB), increasing susceptibility to CNS cancers and complicating treatment. This review examines BBB deterioration, its impact on drug delivery, and potential interventions like targeting neuroinflammation and advanced therapies.
Quang La, Aiman Baloch, David F. Lo
wiley   +1 more source

Ablation of Sphingosine Kinase 1 Protects Cornea from Neovascularization in a Mouse Corneal Injury Model

open access: yesCells, 2022
The purpose of this study was to investigate the role of sphingosine kinase 1 (SphK1), which generates sphingosine-1-phosphate (S1P), in corneal neovascularization (NV).
Joseph L. Wilkerson   +9 more
doaj   +1 more source

CCR3 and Choroidal Neovascularization

open access: yesPLoS ONE, 2011
Age-related macular degeneration (AMD) is the leading cause of irreversible blindness in the elderly in industrialized countries. The "wet" AMD, characterized by the development of choroidal neovacularization (CNV), could result in rapid and severe loss of central vision.
Rong Wen   +5 more
openaire   +5 more sources

Eye Disease Prediction using Ensemble Learning and Attention on OCT Scans [PDF]

open access: yesarXiv, 2023
Eye diseases have posed significant challenges for decades, but advancements in technology have opened new avenues for their detection and treatment. Machine learning and deep learning algorithms have become instrumental in this domain, particularly when combined with Optical Coherent Technology (OCT) imaging.
arxiv  

The effects of the subconjunctival injection of bevacizumab (Avastin®) on angiogenesis in the rat cornea

open access: yesAnais da Academia Brasileira de Ciências, 2007
The purpose of this study was to evaluate the effects of the use of the subconjunctival injection of bevacizumab (Avastin®) on angiogenesis in the rat cornea. Corneas of 20 Wistar male rats were cauterized with silver nitrate crystal.
Luiz F.M. Barros, Rubens Belfort-Jr
doaj   +1 more source

A Complete Review of Automatic Detection, Segmentation, and Quantification of Neovascularization in Optical Coherence Tomography Angiography Images

open access: yesDiagnostics, 2023
Optical coherence tomography (OCT) is revolutionizing the way we assess eye complications such as diabetic retinopathy (DR) and age-related macular degeneration (AMD).
Yar Zar Tun, Pakinee Aimmanee
doaj   +1 more source

Quantitative and Qualitative Evaluation of Explainable Deep Learning Methods for Ophthalmic Diagnosis [PDF]

open access: yesarXiv, 2020
Background: The lack of explanations for the decisions made by algorithms such as deep learning has hampered their acceptance by the clinical community despite highly accurate results on multiple problems. Recently, attribution methods have emerged for explaining deep learning models, and they have been tested on medical imaging problems.
arxiv  

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