SGgenomics, Inc. — Department of Health and Human Services STTR Phase I: 101
SGgenomics, Inc. — STTR Phase I award from Department of Health and Human Services.
- Amount
- $300,000
- Agency
- Department of Health and Human Services · National Institutes of Health
- Program / Phase
- STTR · Phase I
- Topic
- 101
- Solicitation
- PAR18-802
- NAICS
- —
- Place of performance
- SC
- Period
- 2019-09-19 → 2020-08-31
Description
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