grant

Genetic Variation in AMD Progression and Treatment Response

Organization UNIVERSITY OF CALIFORNIA LOS ANGELESLocation LOS ANGELES, UNITED STATESPosted 15 Sept 2025Deadline 31 Mar 2030
NIHUS FederalResearch GrantFY20253-D3-Dimensional3DAI AugmentedAI assistedAI basedAI drivenAI enhancedAI integratedAI poweredAI systemAddressAffectAge related macular degenerationAge-Related MaculopathyAnatomic SitesAnatomic structuresAnatomyArtificial IntelligenceArtificial Intelligence enhancedAtrophicAtrophyAugmented by AIAugmented by the AIAugmented with AIAugmented with the AIBioinformaticsBiological MarkersBlindnessCategoriesClassificationClinical MarkersComplementComplement ProteinsComputer ReasoningConvNetDataData BasesData SetDatabasesDevelopmentDiagnosisDiagnosticDiet ModificationDietary ModificationsDiminished VisionDisciform macular degenerationDisciform senile macular retinal degenerationDiseaseDisease ProgressionDisorderDoppler OCTEarly treatmentElderlyEvaluationExudative AMDExudative age-related macular degenerationGWA studyGWASGenesGeneticGenetic DiversityGenetic RiskGenetic VariationGenetic studyGenomicsHeterogeneityImageImage AnalysesImage AnalysisIndividualLinkLiquid substanceLow VisionMachine IntelligenceMachine LearningMapsMendelian randomizationMentorsModelingNeovascular AMDNeovascular age-related macular degenerationOCT TomographyOntologyOptical Coherence TomographyOutcomeOuter pigmented layer of retinaPartial SightPathway interactionsPatientsPersonalized medical approachPhenotypePigment EpitheliumPigment cell layer of retinaPigmented layer of retinaPrognosisPublic HealthReduced VisionResearchRetinaRetinal Pigment EpitheliumRetinal pigment epithelial cellsRiskRoleSerousShapesStructure of retinal pigment epitheliumSubgroupSubnormal VisionSystematicsTechniquesTestingTherapeuticTimeTreatment EfficacyTreatment outcomeVEGFVEGFsVariantVariationVascular DiseasesVascular DisorderVascular Endothelial Growth FactorsVisualVisual AcuityVisual impairmentVitaminsWet AMDadvanced ageage associated effectsage dependent macular degenerationage effectage induced macular degenerationage related effectsage related macular diseaseage related macular dystrophyaging effectartificial intelligence assistedartificial intelligence augmentedartificial intelligence basedartificial intelligence drivenartificial intelligence integratedartificial intelligence poweredbio-markersbiobankbiologic markerbiomarkerbiorepositoryblood vessel disorderclinical biomarkersclinical centerclinically useful biomarkerscomplementationconvolutional networkconvolutional neural netsconvolutional neural networkdata basedeep learningdeep learning methoddeep learning strategydesigndesigningdevelopmentaldiet alterationdietary alterationdisease heterogeneityearly therapyenhanced with AIenhanced with Artificial Intelligencefluidfunctional outcomesgene locusgene signaturesgenetic analysisgenetic locusgenetic signaturegenome wide associationgenome wide association scangenome wide association studygenomewide association scangenomewide association studygenomic locationgenomic locusgeriatrichigh riskimage evaluationimage interpretationimagingimpact of ageimprovedindividualized approachinfluence of ageinsightintervention efficacyintravitreal injectionliquidmachine based learningmachine learning based modelmachine learning modelmaculamacularneovascularneovascularizationnovelolder adultolder adulthoodoptical Doppler tomographyoptical coherence Doppler tomographypathwaypatient stratificationpersonalized approachpolygenetic risk scorespolygenic risk scoreprecision approachpredictive signatureprognosticresponse to therapyresponse to treatmentretinal imagingsenile macular diseasesenior citizensocial rolestratified patienttailored approachtherapeutic efficacytherapeutic outcometherapeutic responsetherapy efficacytherapy outcometherapy responsethree dimensionaltransfer learningtreatment responsetreatment responsivenessvascular dysfunctionvasculopathyvision impairmentvision lossvisual lossvisually impairedwet form of AMDwhole genome association analysiswhole genome association study
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Summary/Abstract
This project aims to explore how genetic variation influences disease progression and therapeutic response in

age-related macular degeneration (AMD) by integrating advanced optical coherence tomography (OCT)

imaging with machine learning (ML) and artificial intelligence (AI). AMD, a leading cause of vision loss in older

adults,…

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Genetic Variation in AMD Progression and Treatment Response — UNIVERSITY OF CALIFORNIA LOS ANGELES | UNITED STATES | Se | Dev Procure