AIMC Topic: Vascular Endothelial Growth Factor A

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Deep learning for the prediction of early on-treatment response in metastatic colorectal cancer from serial medical imaging.

Nature communications Nov 17, 2021
In current clinical practice, tumor response assessment is usually based on tumor size change on serial computerized tomography (CT) scan images. However, evaluation of tumor response to anti-vascular endothelial growth factor therapies in metastatic...
Humans Deep Learning Antineoplastic Combined Chemotherapy Protocols Treatment Outcome Predictive Value of Tests Vascular Endothelial Growth Factor A Prognosis Retrospective Studies Tomography, X-Ray Computed Colorectal Neoplasms
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Screening of key biomarkers of tendinopathy based on bioinformatics and machine learning algorithms.

PloS one Oct 29, 2021
Tendinopathy is a complex multifaceted tendinopathy often associated with overuse and with its high prevalence resulting in significant health care costs. At present, the pathogenesis and effective treatment of tendinopathy are still not sufficiently...
Tendinopathy Genetic Predisposition to Disease MAP Kinase Signaling System Computational Biology Carboxylic Ester Hydrolases Humans NF-kappa B Hypoxia-Inducible Factor 1, alpha Subunit Machine Learning TOR Serine-Threonine Kinases Vascular Endothelial Growth Factor A
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Machine Learning Can Predict Anti-VEGF Treatment Demand in a Treat-and-Extend Regimen for Patients with Neovascular AMD, DME, and RVO Associated Macular Edema.

Ophthalmology. Retina May 8, 2021
PURPOSE: To assess the potential of machine learning to predict low and high treatment demand in real life in patients with neovascular age-related macular degeneration (nAMD), retinal vein occlusion (RVO), and diabetic macular edema (DME) treated ac...
Intravitreal Injections Ranibizumab Wet Macular Degeneration Retinal Vein Occlusion Diabetic Retinopathy Angiogenesis Inhibitors Machine Learning Follow-Up Studies Prognosis Macular Edema Retrospective Studies Vascular Endothelial Growth Factor A Female Aged Aged, 80 and over Male Middle Aged Humans
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AI-based structure-function correlation in age-related macular degeneration.

Eye (London, England) Mar 25, 2021
Sensitive and robust outcome measures of retinal function are pivotal for clinical trials in age-related macular degeneration (AMD). A recent development is the implementation of artificial intelligence (AI) to infer results of psychophysical examina...
Visual Acuity Tomography, Optical Coherence Vascular Endothelial Growth Factor A Wet Macular Degeneration Humans Artificial Intelligence Angiogenesis Inhibitors
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Predicting Incremental and Future Visual Change in Neovascular Age-Related Macular Degeneration Using Deep Learning.

Ophthalmology. Retina Jan 28, 2021
PURPOSE: To evaluate the predictive usefulness of quantitative imaging biomarkers, acquired automatically from OCT scans, of cross-sectional and future visual outcomes of patients with neovascular age-related macular degeneration (AMD) starting anti-...
Tomography, Optical Coherence Vascular Endothelial Growth Factor A Intravitreal Injections Ranibizumab Wet Macular Degeneration Deep Learning Angiogenesis Inhibitors Follow-Up Studies Visual Acuity Aged, 80 and over Cross-Sectional Studies Male Middle Aged Humans Prognosis Retrospective Studies Female Aged
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Quantification of Key Retinal Features in Early and Late Age-Related Macular Degeneration Using Deep Learning.

American journal of ophthalmology Jan 8, 2021
PURPOSE: We sought to develop and validate a deep learning model for segmentation of 13 features associated with neovascular and atrophic age-related macular degeneration (AMD).
Deep Learning ROC Curve Angiogenesis Inhibitors Models, Statistical Visual Acuity Aged, 80 and over Sensitivity and Specificity Male Middle Aged Ranibizumab Wet Macular Degeneration Receptors, Vascular Endothelial Growth Factor Retinal Drusen Choroidal Neovascularization Tomography, Optical Coherence Vascular Endothelial Growth Factor A Intravitreal Injections Recombinant Fusion Proteins Humans Neural Networks, Computer Female Aged Geographic Atrophy
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Porphyrin-based covalent organic framework as bioplatfrom for detection of vascular endothelial growth factor 165 through fluorescence resonance energy transfer.

Talanta Dec 30, 2020
A fluorescent aptasensor based on porphyrin-based covalent organic framework (p-COF) and carbon dots (CDs) was constructed for detecting vascular endothelial growth factor 165 (VEGF) and for imaging of the breast cancer cell line Michigan cancer foun...
Fluorescence Resonance Energy Transfer Humans Limit of Detection Aptamers, Nucleotide Metal-Organic Frameworks Biosensing Techniques Porphyrins Vascular Endothelial Growth Factor A Quantum Dots
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Predicting antibody affinity changes upon mutations by combining multiple predictors.

Scientific reports Nov 11, 2020
Antibodies are proteins working in our immune system with high affinity and specificity for target antigens, making them excellent tools for both biotherapeutic and bioengineering applications. The prediction of antibody affinity changes upon mutatio...
Machine Learning Computational Biology Mutation Antibodies Vascular Endothelial Growth Factor A Databases as Topic Antibody Affinity
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Prediction of response to anti-vascular endothelial growth factor treatment in diabetic macular oedema using an optical coherence tomography-based machine learning method.

Acta ophthalmologica Jun 22, 2020
PURPOSE: To predict the anti-vascular endothelial growth factor (VEGF) therapeutic response of diabetic macular oedema (DME) patients from optical coherence tomography (OCT) at the initiation stage of treatment using a machine learning-based self-exp...
Tomography, Optical Coherence Macular Edema Vascular Endothelial Growth Factor A Intravitreal Injections ROC Curve Angiogenesis Inhibitors Follow-Up Studies Female Diabetic Retinopathy Visual Acuity Aged Humans Machine Learning Male Algorithms Middle Aged Prognosis Retrospective Studies
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A semi-automated machine-learning based workflow for ellipsoid zone analysis in eyes with macular edema: SCORE2 pilot study.

PloS one Apr 30, 2020
BACKGROUND AND OBJECTIVE: To develop a semi-automated, machine-learning based workflow to evaluate the ellipsoid zone (EZ) assessed by spectral domain optical coherence tomography (SD-OCT) in eyes with macular edema secondary to central retinal or he...
Workflow Macular Edema Vascular Endothelial Growth Factor A Recombinant Fusion Proteins Humans Adult Angiogenesis Inhibitors Receptors, Vascular Endothelial Growth Factor Macula Lutea Machine Learning Male Treatment Outcome Bevacizumab Female Middle Aged Tomography, Optical Coherence Retinal Vein Occlusion Pilot Projects Drug Monitoring Image Processing, Computer-Assisted
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