AIMC Topic: Angiogenesis Inhibitors

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Real-world faricimab switch in France: artificial intelligence-based detection of changes in exudative signs in difficult-to-treat neovascular age-related macular degeneration.

BMJ open ophthalmology Jun 23, 2025
PURPOSE: Some patients with neovascular age-related macular degeneration (nAMD) have persistent signs of exudation under treatment with intravitreal injections of anti-vascular endothelial growth factor (VEGF) agents. We examined the real-world anato...
Humans Antibodies, Bispecific Subretinal Fluid Visual Acuity Tomography, Optical Coherence Vascular Endothelial Growth Factor A Drug Substitution Aged, 80 and over France Exudates and Transudates Intravitreal Injections Fluorescein Angiography Wet Macular Degeneration Male Artificial Intelligence Angiogenesis Inhibitors Retrospective Studies Follow-Up Studies Female Aged
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Evaluating anti-VEGF responses in diabetic macular edema: A systematic review with AI-powered treatment insights.

Indian journal of ophthalmology May 28, 2025
Recent advances in deep learning and machine learning have greatly increased the capabilities of extracting features for evaluating the response to anti VEGF treatment in patients with Diabetic Macular Edema (DME). In this review, we explore how thes...
Humans Diabetic Retinopathy Tomography, Optical Coherence Macular Edema Vascular Endothelial Growth Factor A Intravitreal Injections Machine Learning Algorithms Angiogenesis Inhibitors Visual Acuity
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Predicting Visual Acuity after Retinal Vein Occlusion Anti-VEGF Treatment: Development and Validation of an Interpretable Machine Learning Model.

Journal of medical systems Apr 29, 2025
Accurate prediction of post-treatment visual acuity in macular edema secondary to retinal vein occlusion (RVO-ME) is critical for optimizing anti-VEGF therapy and improving clinical outcomes. While machine learning (ML) has shown promise in ophthalmi...
Middle Aged Angiogenesis Inhibitors Visual Acuity Macular Edema Vascular Endothelial Growth Factor A Retinal Vein Occlusion Prognosis Humans Machine Learning Algorithms Retrospective Studies Female Aged Male
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Prediction of Reactivation After Antivascular Endothelial Growth Factor Monotherapy for Retinopathy of Prematurity: Multimodal Machine Learning Model Study.

Journal of medical Internet research Apr 23, 2025
BACKGROUND: Retinopathy of prematurity (ROP) is the leading preventable cause of childhood blindness. A timely intravitreal injection of antivascular endothelial growth factor (anti-VEGF) is required to prevent retinal detachment with consequent visi...
Vascular Endothelial Growth Factor A Intravitreal Injections Retinopathy of Prematurity Infant, Newborn Male Infant Angiogenesis Inhibitors Humans Machine Learning Female
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Unsupervised machine learning analysis of optical coherence tomography radiomics features for predicting treatment outcomes in diabetic macular edema.

Scientific reports Apr 18, 2025
This study aimed to identify distinct clusters of diabetic macular edema (DME) patients with differential anti-vascular endothelial growth factor (VEGF) treatment outcomes using an unsupervised machine learning (ML) approach based on radiomic feature...
Tomography, Optical Coherence Macular Edema Vascular Endothelial Growth Factor A Cluster Analysis Unsupervised Machine Learning Visual Acuity Principal Component Analysis Diabetic Retinopathy Retrospective Studies Female Aged Radiomics Male Middle Aged Angiogenesis Inhibitors Treatment Outcome Humans
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Histopathology based AI model predicts anti-angiogenic therapy response in renal cancer clinical trial.

Nature communications Mar 17, 2025
Anti-angiogenic (AA) therapy is a cornerstone of metastatic clear cell renal cell carcinoma (ccRCC) treatment, but not everyone responds, and predictive biomarkers are lacking. CD31, a marker of vasculature, is insufficient, and the Angioscore, an RN...
Male Middle Aged Deep Learning Angiogenesis Inhibitors Treatment Outcome Mutation Neovascularization, Pathologic Kidney Neoplasms Carcinoma, Renal Cell Humans Female Biomarkers, Tumor Platelet Endothelial Cell Adhesion Molecule-1
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Retinal Vascularization Rate Predicts Retinopathy of Prematurity and Remains Unaffected by Low-Dose Bevacizumab Treatment.

American journal of ophthalmology Mar 5, 2025
PURPOSE: To assess the rate of retinal vascularization derived from ultra-widefield (UWF) imaging-based retinopathy of prematurity (ROP) screening as predictor of type 1 ROP and characterize the effect of anti-vascular endothelial growth factor (anti...
Female Infant, Newborn Male Angiogenesis Inhibitors Follow-Up Studies Humans Retrospective Studies Gestational Age Retinopathy of Prematurity Retinal Neovascularization Bevacizumab Retinal Vessels Birth Weight Vascular Endothelial Growth Factor A Infant, Premature Intravitreal Injections
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DeepTree-AAPred: Binary tree-based deep learning model for anti-angiogenic peptides prediction.

Journal of molecular graphics & modelling Feb 24, 2025
Anti-angiogenic peptides (AAPs) show important potential in tumor therapy by limiting the growth and metastasis of tumor cells. Accurate prediction of AAPs is of very positive significance for the therapeutic efficacy of tumors. The high cost of wet ...
Computational Biology Humans Angiogenesis Inhibitors Algorithms Peptides Deep Learning
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Use of a Convolutional Neural Network to Predict the Response of Diabetic Macular Edema to Intravitreal Anti-VEGF Treatment: A Pilot Study.

American journal of ophthalmology Feb 20, 2025
PURPOSE: To utilize a convolutional neural network (CNN) to predict the response of treatment-naïve diabetic macular edema (DME) to a single injection of anti-vascular endothelial growth factor (anti-VEGF) with data from optical coherence tomography ...
Macular Edema Vascular Endothelial Growth Factor A Intravitreal Injections Ranibizumab Neural Networks, Computer Humans Bevacizumab Treatment Outcome Retrospective Studies Diabetic Retinopathy Follow-Up Studies Female Male Visual Acuity Aged Middle Aged Tomography, Optical Coherence Convolutional Neural Networks Pilot Projects Angiogenesis Inhibitors
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Application of deep learning algorithm for judicious use of anti-VEGF in diabetic macular edema.

Scientific reports Feb 7, 2025
Diabetic Macular Edema (DME) is a major complication of diabetic retinopathy characterized by fluid accumulation in the macula, leading to vision impairment. The standard treatment involves anti-VEGF (Vascular Endothelial Growth Factor) therapy, but ...
Vascular Endothelial Growth Factor Receptor-2 Angiogenesis Inhibitors Tomography, Optical Coherence Macular Edema Vascular Endothelial Growth Factor A Female Aged Male Middle Aged Deep Learning Humans Diabetic Retinopathy Neural Networks, Computer Algorithms
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