AIMC Topic: Angiogenesis Inhibitors

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GENERATIVE DEEP LEARNING APPROACH TO PREDICT POSTTREATMENT OPTICAL COHERENCE TOMOGRAPHY IMAGES OF AGE-RELATED MACULAR DEGENERATION AFTER 12 MONTHS.

Retina (Philadelphia, Pa.) Jun 1, 2025
PURPOSE: Predicting long-term anatomical responses in neovascular age-related macular degeneration patients is critical for patient-specific management. This study validates a generative deep learning model to predict 12-month posttreatment optical c...
Aged, 80 and over Male Deep Learning Time Factors Angiogenesis Inhibitors Humans Retrospective Studies Female Aged Intravitreal Injections Fluorescein Angiography Macula Lutea Ranibizumab Wet Macular Degeneration Follow-Up Studies Visual Acuity Tomography, Optical Coherence Fundus Oculi Vascular Endothelial Growth Factor A
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Prediction of prognosis of immune checkpoint inhibitors combined with anti-angiogenic agents for unresectable hepatocellular carcinoma by machine learning-based radiomics.

BMC cancer May 19, 2025
OBJECTIVES: This study aims to develop and validate a novel radiomics model utilizing magnetic resonance imaging (MRI) to predict progression-free survival (PFS) in patients with unresectable hepatocellular carcinoma (uHCC) who are receiving a combin...
Radiomics Progression-Free Survival Male Middle Aged Immune Checkpoint Inhibitors Prognosis Nomograms Liver Neoplasms Retrospective Studies Angiogenesis Inhibitors Carcinoma, Hepatocellular Female Antineoplastic Combined Chemotherapy Protocols Aged Magnetic Resonance Imaging Adult Humans Machine Learning
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Multi-Omics Integration With Machine Learning Identified Early Diabetic Retinopathy, Diabetic Macula Edema and Anti-VEGF Treatment Response.

Translational vision science & technology Dec 2, 2024
PURPOSE: Identify optimal metabolic features and pathways across diabetic retinopathy (DR) stages, develop risk models to differentiate diabetic macular edema (DME), and predict anti-vascular endothelial growth factor (anti-VEGF) therapy response.
Diabetic Retinopathy Machine Learning Prospective Studies Biomarkers Female Humans Angiogenesis Inhibitors Metabolomics Macular Edema Vascular Endothelial Growth Factor A Chromatography, High Pressure Liquid Aged Male Middle Aged Diabetes Mellitus, Type 2 Multiomics Lipidomics Aqueous Humor
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Prediction of Post-Treatment Visual Acuity in Age-Related Macular Degeneration Patients With an Interpretable Machine Learning Method.

Translational vision science & technology Sep 3, 2024
PURPOSE: We evaluated the features predicting visual acuity (VA) after one year in neovascular age-related macular degeneration (nAMD) patients.
Intravitreal Injections Fluorescein Angiography Ranibizumab Wet Macular Degeneration Female Aged Aged, 80 and over Male Middle Aged ROC Curve Angiogenesis Inhibitors Visual Acuity Tomography, Optical Coherence Indocyanine Green Humans Machine Learning Retrospective Studies
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IMPACT OF RESIDUAL SUBRETINAL FLUID VOLUMES ON TREATMENT OUTCOMES IN A SUBRETINAL FLUID-TOLERANT TREAT-AND-EXTEND REGIMEN.

Retina (Philadelphia, Pa.) Nov 1, 2021
PURPOSE: To investigate associations between residual subretinal fluid (rSRF) volumes, quantified using artificial intelligence and treatment outcomes in a subretinal fluid (SRF)-tolerant treat-and-extend (T&E) regimen in neovascular age-related macu...
Subretinal Fluid Drug Tolerance Intravitreal Injections Fluorescein Angiography Ranibizumab Wet Macular Degeneration Humans Artificial Intelligence Prospective Studies Angiogenesis Inhibitors Follow-Up Studies Treatment Outcome Visual Acuity Tomography, Optical Coherence Fundus Oculi Vascular Endothelial Growth Factor A
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Artificial intelligence-based predictions in neovascular age-related macular degeneration.

Current opinion in ophthalmology Sep 1, 2021
PURPOSE OF REVIEW: Predicting treatment response and optimizing treatment regimen in patients with neovascular age-related macular degeneration (nAMD) remains challenging. Artificial intelligence-based tools have the potential to increase confidence ...
Humans Artificial Intelligence Macular Degeneration Neovascularization, Pathologic Computer Simulation Fluorescein Angiography Prognosis Wet Macular Degeneration Angiogenesis Inhibitors Receptors, Vascular Endothelial Growth Factor Tomography, Optical Coherence Vascular Endothelial Growth Factor A
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Automated Quantification of Pathological Fluids in Neovascular Age-Related Macular Degeneration, and Its Repeatability Using Deep Learning.

Translational vision science & technology Apr 1, 2021
PURPOSE: To develop a reliable algorithm for the automated identification, localization, and volume measurement of exudative manifestations in neovascular age-related macular degeneration (nAMD), including intraretinal (IRF), subretinal fluid (SRF), ...
Humans Reproducibility of Results Deep Learning Angiogenesis Inhibitors Visual Acuity Macular Degeneration Ranibizumab
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Investigating the anti-angiogenic effects of Fufang Kushen Injection in combination with cisplatin using a zebrafish model.

Pakistan journal of pharmaceutical sciences Sep 1, 2020
The Traditional Chinese Medicine formula Fufang Kushen Injection (FKI) has demonstrated potential to enhance the efficacy and reduce the toxicity of the chemotherapeutic drug cisplatin. However, there is insufficient evidence to determine whether the...
Vascular Endothelial Growth Factor Receptor-2 Cisplatin Animals Zebrafish Proteins Zebrafish Angiogenesis Inhibitors Neovascularization, Physiologic Dose-Response Relationship, Drug Drug Synergism Drugs, Chinese Herbal Animals, Genetically Modified
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Quantification of Fluid Resolution and Visual Acuity Gain in Patients With Diabetic Macular Edema Using Deep Learning: A Post Hoc Analysis of a Randomized Clinical Trial.

JAMA ophthalmology Sep 1, 2020
IMPORTANCE: Large amounts of optical coherence tomographic (OCT) data of diabetic macular edema (DME) are acquired, but many morphologic features have yet to be identified and quantified.
Subretinal Fluid Vascular Endothelial Growth Factor A Intravitreal Injections Recombinant Fusion Proteins Ranibizumab Receptors, Vascular Endothelial Growth Factor Angiogenesis Inhibitors Follow-Up Studies Female Visual Acuity Aged Macular Edema Male Middle Aged Deep Learning Humans Diabetic Retinopathy Algorithms Retrospective Studies
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Characterization of Drusen and Hyperreflective Foci as Biomarkers for Disease Progression in Age-Related Macular Degeneration Using Artificial Intelligence in Optical Coherence Tomography.

JAMA ophthalmology Jul 1, 2020
IMPORTANCE: The morphologic changes and their pathognomonic distribution in progressing age-related macular degeneration (AMD) are not well understood.
Retina Macular Degeneration Intravitreal Injections Humans Fluorescein Angiography Female Angiogenesis Inhibitors Artificial Intelligence Retinal Drusen Ranibizumab Aged Prognosis Follow-Up Studies Aged, 80 and over Tomography, Optical Coherence Male Fundus Oculi Disease Progression
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