Mobile Three-Dimensional Screening for Cranial Malformations
Project Number3R44DE031461-03S2
Former Number4R44DE031461-02
Contact PI/Project LeaderAALAMIFAR, FERESHTEH Other PIs
Awardee OrganizationPEDIAMETRIX INC.
Description
Abstract Text
Modified Project Summary/Abstract Section
Delayed identification of infant head malformation is causing unnecessary medical complications and societal costs. A critical challenge in the early detection is the absence of tools available to pediatric offices to perform quantitative head shape assessment during well-child visits. Delays in diagnosis limit the opportunity for early, less invasive and effective treatment options. In this Fast-track SBIR project, PediaMetrix Inc. has joined forces with pediatric hospitals and providers to develop and evaluate SoftSpotTM, which is the first mobile digital tool for 3D data collection and analysis of infant cranial malformations at the point-of-care. Head malformations during infancy can be synostotic (i.e., craniosynostosis) or nonsynostotic (such as deformational plagiocephaly and brachycephaly or DPB). Both types of conditions require immediate attention and benefit from early treatment to avoid long-term health complications. The prevalence of DPB increased dramatically in recent years, from 5% to approximately 20%-30%, causing the condition to be called a pediatric epidemic. Craniosynostosis is less common affecting 1 in 2,000 children. To improve the early management of these conditions and to prevent more complex treatment and associated morbidities, it is essential to monitor the growth of the infant head at the point-of-care.
To address this unmet clinical need, under our parent grant, we will develop and evaluate a mobile digital tool that will enable pediatricians to capture and analyze 3D scans of every infant for the early diagnosis and management of cranial malformations. The proposed supplement project will perform market research for the direct to consumer (parents of newborns) as well as business to business (primary pediatric clinics) path for SoftSpot, development of financial projections (pro forma), running a pilot with a channel partner, finding the strategic partners, and improving the product (both technically and regulatory wise) to be ready for launch and scaling.
The overall mission of PediaMetrix is to provide accurate decision support tools for pediatric health at the point-of-care. This will be achieved through machine learning and quantitative imaging algorithms that in combination with smartphone technological advances will be packaged as mobile digital health solutions accessible to pediatric health providers at any time and location. Successful demonstration of SoftSpot3DTM will lead to a significant reduction of the number of children left with untreated cranial conditions in addition to lowering the associated healthcare costs and social anxiety.
Public Health Relevance Statement
NARRATIVE
Delayed identification of infant head malformation is causing unnecessary medical complications and societal
costs, partly because of the absence of tools available to pediatric offices. For this Fast-track SBIR proposal,
PediaMetrix Inc. has joined forces with clinical institutions to develop and evaluate a 3D mobile scanning tool
that provides cranial volume and malformation measurements. Our tool, called SoftSpotTM, will improve the early
detection and management of infant cranial malformations at the point-of-care and avoid delayed, costly and
intensive treatments.
NIH Spending Category
No NIH Spending Category available.
Project Terms
3-DimensionalAddressAffectAlgorithmsAttentionCellular PhoneCephalicChildChildhoodClassificationClinicalComplexCraniosynostosisDataData AnalysesData CollectionDiagnosisEarly DiagnosisEarly treatmentEpidemicEvaluationFeasibility StudiesGrowthHeadHead circumferenceHealthHealth Care CostsHealth PersonnelInfantInstitutionLeftLocationMachine LearningMeasurementMeasuresMethodsMissionMonitorMorbidity - disease ratePediatric HospitalsPhasePrevalenceScanningShapesSmall Business Innovation Research GrantTechnologyTimeTrainingVisitWell Child Visitscostcraniumdeep learning modeldesigndigital healthdigital tooleffective therapyimprovedinfancymachine learning methodmalformationmedical complicationnew technologypediatricianplagiocephalypoint of carepreventquantitative imagingreconstructionresearch clinical testingscreeningsocial anxietysocietal costssupport toolstool
National Institute of Dental and Craniofacial Research
CFDA Code
121
DUNS Number
081060963
UEI
M41ALBKWRKL5
Project Start Date
01-September-2022
Project End Date
28-February-2026
Budget Start Date
15-April-2024
Budget End Date
28-February-2026
Project Funding Information for 2024
Total Funding
$50,000
Direct Costs
$50,000
Indirect Costs
Year
Funding IC
FY Total Cost by IC
2024
National Institute of Dental and Craniofacial Research
$50,000
Year
Funding IC
FY Total Cost by IC
Sub Projects
No Sub Projects information available for 3R44DE031461-03S2
Publications
Publications are associated with projects, but cannot be identified with any particular year of the project or fiscal year of funding. This is due to the continuous and cumulative nature of knowledge generation across the life of a project and the sometimes long and variable publishing timeline. Similarly, for multi-component projects, publications are associated with the parent core project and not with individual sub-projects.
No Publications available for 3R44DE031461-03S2
Patents
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Outcomes
The Project Outcomes shown here are displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed are those of the PI and do not necessarily reflect the views of the National Institutes of Health. NIH has not endorsed the content below.
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Clinical Studies
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History
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