grant
Early prediction of lethal phenotypes in triple negative breast cancer using multiscale, multi-modality platforms
NIHUS FederalResearch GrantFY2026AI basedAI systemAdjuvant ChemotherapyAdjuvant Drug TherapyAgeAntibody-drug conjugatesArtificial IntelligenceBayesian ModelingBayesian NetworkBayesian adaptive designsBayesian adaptive modelsBayesian belief networkBayesian belief updating modelBayesian frameworkBayesian hierarchical modelBayesian network modelBayesian nonparametric modelsBayesian spatial data modelBayesian spatial image modelsBayesian spatial modelsBayesian statistical modelsBayesian tracking algorithmsBioinformaticsBiopsyBlack BoxBreast CancerBreast Cancer PatientBreast Tumor PatientCaringCell BodyCellsClassificationClinicalClinical DataClinical TrialsComputer ReasoningCox Proportional Hazards ModelsDataDetectable Residual DiseaseDevelopmentDiagnosisDiseaseDisease-Free SurvivalDisorderEventEvent-Free SurvivalGeneral RadiologyGenerationsGrantImageImmuneImmune mediated therapyImmunesImmunologically Directed TherapyImmunotherapyIncidenceInduction TherapyIntuitionMachine IntelligenceMalignant Breast NeoplasmMammogramMammographyMeasuresMetastasisMetastasizeMetastatic LesionMetastatic MassMetastatic NeoplasmMetastatic TumorMinimal Residual DiseaseModelingNEOADJNeoadjuvantNeoadjuvant TherapyNeoadjuvant TreatmentNeoplasm MetastasisOncologyOncology CancerOperative ProceduresOperative Surgical ProceduresOutcomePathologyPatient CarePatient Care DeliveryPatientsPhenotypePopulationPositionPositioning AttributePredicting RiskProbabilityProteinsRaceRacesRadiographyRadiologyRadiology SpecialtyRecurrenceRecurrentRegimenResearchResidual CancersResidual NeoplasmResidual TumorsRiskRisk AssessmentRoentgenographyRoleSWOGSamplingSecondary NeoplasmSecondary TumorSouthwest Oncology GroupSubgroupSurgicalSurgical InterventionsSurgical ProcedureSystematicsTNBCTherapeuticToxic effectToxicitiesTrainingTumor-Infiltrating LymphocytesUniversitiesValidationVisualWomanadversarial neural networkagesaggressive breast cancerartificial intelligence basedcancer imagingcancer metastasiscancer sub-typescancer subtypescare for patientscare of patientscaring for patientscase controlcase-controlledchemotherapycohortdata diversitydata integrationdata modelingdeath riskdeep learningdeep learning based modeldeep learning methoddeep learning modeldeep learning strategydevelopmentaldigitaldigital modelsdiverse dataevidence baseforecasting riskgenerative adversarial networkgenerative neural networkhigh riskimagingimmune imagingimmune therapeutic approachimmune therapeutic interventionsimmune therapeutic regimensimmune therapeutic strategyimmune therapyimmune-based therapiesimmune-based treatmentsimmuno therapyimmunoimagingimprovedindividuals with breast cancerinduction therapiesinnovateinnovationinnovativeintuitivemalignant breast tumormammographic Imagingmammographic examinationsmammographic examsmodel of datamodel the datamodeling of the datamortality riskmulti-ethnicmulti-modal datamulti-modal datasetsmulti-modalitymultiethnicmultimodal datamultimodal datasetsmultimodalitymultiplexed imagingnoveloncologic imagingoncology imagingpatient stratificationpatients with breast cancerperson with breast cancerpredict riskpredict riskspredicted riskpredicted riskspredicting riskspredictive biological markerpredictive biomarkerspredictive markerpredictive molecular biomarkerpredictive riskpredicts riskprognostic methodprognostic toolprognostication methodracialracial backgroundracial originradiological imagingradiomicsrandom forestrandomized, clinical trialsresidual diseaserisk predictionrisk prediction systemrisk prediction toolrisk predictionssocial rolespatial relationshipstratified patientsurgerysurvival outcometherapy optimizationtooltranslation strategytranslational approachtranslational strategytreatment optimizationtriple-negative breast cancertriple-negative invasive breast carcinomatumortumor cell metastasistumor imagingvalidations
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Project Summary/abstract
Triple negative breast cancer (TNBC) is the most aggressive breast cancer subtype and poses a clinical
challenge due to the lack of tools to predict patients who are at risk of death due to disease. TNBCs subtypes
were presumed to be a step forward, however, recent randomized clinical trials have failed to document…
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