SBIR/STTR Research Award
Identifying hereditary cancer patients in low-resource community cancer settings using an innovative informatics solution
Award amount
$300,000Program and phase
STTR · Phase IAward year
2019Award details
- Awarding agency
- Department of Health and Human Services
- Branch
- National Institutes of Health
- Recipient company
- SGgenomics, Inc.
- Proposal award date
- 2019-09-19
- Contract end date
- 2020-08-31
- UEI
- LD14B57WN7C5
- Solicitation number
- PAR18-802
- Topic code
- 101
Research abstract
PROJECT SUMMARYHereditary cancer risk assessment in low resource community cancer settings is a signi cant unmet clinical needUnfortunatelymost community cancer clinics do not have adequate access to genetics expertise and patients are not systematically assessed for hereditary riskNew cost e ective and practical approaches are needed to assess and identify patients at risk for hereditary cancer community cancer settings where ruralminorityand underserved patients receive cancer careItRunsInMyFamilyInc and the Medical University of South CarolinaMUSChave partnered to develop ItRunsInMyFamily comItRunsa simplescalable informatics tool that uses arti cial intelligence and social networking to collect family health history from patients and assess for hereditary cancer riskFor this project we will develop a functional prototype and demonstrate feasibility of ItRuns as a simplelow cost approach for identifying hereditary cancer patients in low resourcecommunity cancer settingsBy successfully achieving the outcomes from this Phase I projectwe will have a clear path to develop the technologyexpertiseand evidence to make a signi cant impact on hereditary cancer risk assessment in low resource community cancer settings PROJECT NARRATIVEAssessing hereditary cancer risk in low resource community cancer settings is a signi cant unmet clinical needItRunsInMyFamily com is a simplescalable informatics tool that uses arti cial intelligence and social networking to collect family health history from patients and assess for hereditary cancer riskThe goal of this project is to develop a functional prototype and demonstrate feasibility of ItRuns as a simplelow cost approach for identifying hereditary cancer patients in low resourcecommunity cancer settings
Technology keywords
Not reported
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- High bandwidth all-optical electrophysiology
- Fast multicolor confocal fluorescence imager for neural network mapping
- Advanced culture and recording system for long-term electrophysiological profiling in human brain organoids
- Commercialization Readiness for a Portable PET Insert System for Simultaneous TOF-PET and MR Brain Imaging
- Design and Development of an Advanced Functional MRI Software as Medical Device (SaMD) forClinical Trials and Therapeutic Applications in Neuropsychiatry