grant

Refinement of a novel at-home kit for contact dermatitis testing and diagnosis.

Organization ALLEVIATE SOLUTIONS INCLocation NEPTUNE BEACH, UNITED STATESPosted 15 Sept 2025Deadline 31 Aug 2026
NIHUS FederalResearch GrantFY2025AI AugmentedAI algorithmAI assistedAI based modelAI drivenAI enhancedAI integratedAI modelAI poweredAccountingAddressAffectAllergensAllergic Contact DermatitisAllergic Eczematous DermatitisAppointmentArtificial Intelligence enhancedAugmented by AIAugmented by the AIAugmented with AIAugmented with the AICalibrationClinicClinic VisitsClinicalClinical EvaluationClinical TestingClinical TrialsCloud ComputingCloud InfrastructureCodeCoding SystemCollaborationsColorComplexConsumptionContact DermatitisContact EczemaCounselingCutaneous DisorderCutaneous imagingDataData BasesData ScienceDatabasesDemocracyDermatitis VenenataDermatological ImagingDermatologistDermatologyDermatosesDevelopmentDiagnosisDiagnosticDiagnostic Reagent KitsDiagnostic testsDocumentationEconomic BurdenFutureGoalsHIPAAHandwashingHealthHealth Insurance Portability and Accountability ActHomeHygieneImageInstructionIrritantsJob LocationJob PlaceJob SettingJob SiteKennedy Kassebaum ActLinkLogisticsManualsMarketingMeasuresOccupationalPL 104-191PL104-191Patch TestsPatientsPersonsPhasePhonePhotographyPopulationPositionPositioning AttributeProceduresProcessProductivityProviderPublic Law 104-191QOLQuality of lifeReactionReportingResearch ResourcesResourcesRetrievalSecureSkin DiseasesSkin Diseases and ManifestationsSkin ImagingSpecialtySting InjuryStretchingSymptomsSystemTechnologyTelephoneTestingThickThicknessTimeTravelUnited States Health Insurance Portability and Accountability ActVisitWait TimeWorkWork LocationWork PlaceWork-SiteWorkplaceWorksitearmartificial intelligence algorithmartificial intelligence assistedartificial intelligence augmentedartificial intelligence drivenartificial intelligence integratedartificial intelligence modelartificial intelligence poweredartificial intelligence-based modelclinical testcloud based computingcloud computercommercializationcostcutaneous diseasedata basedermal diseasedermal disorderdesigndesigningdevelopmentaldiagnostic kitdiagnostic platformdiagnostic systemdigitalenhanced with AIenhanced with Artificial Intelligenceflexibilityflexiblehand washinghomesimage registrationimagingimprovedindexingmedical specialtiesmobile appmobile applicationmobile device applicationnovelpatient barrierspatient-level barriersprospectiveprototyperesearch clinical testingrural arearural locationrural patientsrural regionskin disorderskin patchstingtechnology platformtechnology systemtelediagnostictest kittesting accessvirtual patientwork setting
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Full Description

ABSTRACT
Contact dermatitis affects up to 50% of the U.S. population. Contact dermatitis has significant health

repercussions and economic burden, accounting for more than 90% of occupational skin disorders, impacting

workplace productivity with an estimated annual cost of $1 billion, including $268 million due to lost workdays

and $141 million due to restricted activity days. Allergic contact dermatitis also significantly impacts quality of

life, as measured by DLQI and Skindex-16 indices.

Unfortunately, diagnostic testing for contact dermatitis is a complex, time-intensive process that is inaccessible

to many patients in need. The current gold standard is patch testing. This testing must be performed by a

dermatologist at a specialty clinic, which causes a barrier for patients in rural locations. Additionally, wait times

for visits often stretch across many months leaving patients with no immediate answers to their symptoms.

Patch testing also requires three clinic visits spread over five days. The time commitment is burdensome even

when patients live in close proximity to the clinic. For those that have to travel, testing can result in high

expenses for travel and hotels in addition to time missed at work. Finally, patch testing is a resource-heavy

task for providers and forces them to spend time that could otherwise be spent seeing more patients.

Alleviate’s solution is a novel testing platform that combines 1) a skin patch kit, 2) a patient and provider mobile

application, and 3) a cloud infrastructure. This novel telediagnostic approach will streamline patch testing,

gathering critical patient-provided data further optimizing patch testing through data science approaches. This

clinically-developed and tested workflow positions Alleviate with a first-of-its-kind, at-home, AI-powered patch

test, overcoming key limitations of the current approach. Alleviate has successfully established the foundational

assets to democratize skin patch te

sting. In the proposed Phase I effort, these assets will be refined through

additional development and verification in order to prepare the platform for commercialization.

Grant Number: 1R41AR086685-01
NIH Institute/Center: NIH

Principal Investigator: Charles Bruce

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