grant
Project 3: Integration of mammographic AI, clinical, and genomics information to improve breast cancer subtype- specific risk-based screening and prevention
Organization UNIVERSITY OF CALIFORNIA, SAN FRANCISCOLocation SAN FRANCISCO, UNITED STATESPosted 11 Sept 2024Deadline 31 Aug 2029
NIHUS FederalResearch GrantFY20253-D3-Dimensional3DAI based methodAI based modelAI modelAI systemAdvanced CancerAdvanced Malignant NeoplasmAgeArtificial IntelligenceAssayBioassayBiological AssayBreast CancerBreast Cancer DetectionBreast Cancer Risk FactorBreast cancer screeningBreast screeningCISNETCancer Intervention and Surveillance Modeling NetworkCancersClassificationClinicalCohort StudiesComputer ReasoningConcurrent StudiesConsensusDNA mutationDataEthnic OriginEthnicityGWA studyGWASGeneralized GrowthGeneticGenetic ChangeGenetic PredispositionGenetic Predisposition to DiseaseGenetic SusceptibilityGenetic defectGenetic mutationGenetic propensityGenomicsGerm LinesGoalsGrowthHarm MinimizationHarm ReductionHealthHereditaryHigh Risk WomanImageIncidenceIndividualInheritedInherited PredispositionInherited SusceptibilityJointsMachine IntelligenceMalignant Breast NeoplasmMalignant NeoplasmsMalignant TumorMammogramMammographic screeningMammographyModelingMolecularMolecular FingerprintingMolecular ProfilingMorbidityMorbidity - disease rateMutationOutcomePenetrancePerformancePopulationPredicting RiskPredictive FactorPreventative measurePreventionPrevention trialPreventive measureRaceRacesRecommendationRecurrenceRecurrentResearchRiskRisk FactorsSingle Base PolymorphismSingle Nucleotide PolymorphismSystematicsTissue GrowthTrainingUpdateWomanadvanced breast canceradvanced stage breast canceragesannual screeningartificial intelligence methodartificial intelligence modelartificial intelligence-based modelat-risk femalesat-risk womenbreast cancer riskbreast densitycancer sub-typescancer subtypesclinical predictorsclinical relevanceclinical riskclinically relevantcohortcomparative effectiveness studycomputer based predictioncostdeep learningdeep learning methoddeep learning strategyexpression subtypesfemales at high riskforecasting riskgenetic etiologygenetic mechanism of diseasegenetic vulnerabilitygenetically predisposedgenome mutationgenome wide associationgenome wide association scangenome wide association studygenomewide association scangenomewide association studyhigh riskhigh risk femalesimagingimprovedindividualized strategiesinnovateinnovationinnovativemalignancymalignant breast tumormammary cancer detectionmammary screeningmammographic Imagingmammographic examinationsmammographic examsmammography screeningmodel-based simulationmodels and simulationmolecular profilemolecular signaturemolecular sub-typesmolecular subsetsmolecular subtypesmortalitymultidisciplinaryneoplasm/cancernext generationnovelontogenypersonalized strategiespolygenetic risk scorespolygenic risk scorepredict riskpredict riskspredicted riskpredicted riskspredicting riskspredictive modelingpredictive riskpredicts riskracialracial backgroundracial originradiomicsrecommended screeningrisk predictionrisk prediction algorithmrisk prediction modelrisk predictionsroutine screeningscreeningscreening guidelinesscreening recommendationsscreeningssimulationsingle nucleotide variantthree dimensionaltomosynthesistumorwhole genome association analysiswhole genome association studywomen at high risk
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PROJECT 3: Summary The ongoing WISDOM risk-based breast cancer screening and prevention trial, which started in 2016, is a ground-breaking comparative effectiveness study to establish whether personalized breast cancer screening based on individual risk is non-inferior to annual screening in detecting advanced cancers, while reducing the potential…
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