Cooperative Agreement 2335086
- Lumo Imaging LLC received a $255,999 Small Business Technology Transfer Phase I Project Grant from the National Science Foundation Engineering Directorate to develop dermatologist-level detection of suspicious pigmented skin lesions from high-resolution full-body images. Under this one-year award beginning August 1, 2021, Lumo Imaging will utilize $255,999 to deliver products and services focused on using machine learning and computer vision techniques to analyze full-body skin images and detect...
- Radiosight LLC was awarded a $256,000 Small Business Technology Transfer (STTR) Phase I Project Grant by the National Science Foundation on May 1, 2021 to develop a point-of-care skin cancer imaging device. The award is being carried out under the NSF's Technology, Innovation, and Partnerships program (CFDA 47.084) and will support Radiosight's efforts to advance science and engineering research leading to breakthrough technologies. Specifically, the funding will allow Radiosight to work towards...
- This Project Grant award from the National Cancer Institute (NCI), under the Cancer Detection and Diagnosis Research program (CFDA 93.394), provides $1,116,368 to develop a novel visualization, labeling, and tracking engine for human anatomy to enhance the standardization, precision, and communication of skin cancer data. The project aims to create methods to document reproducible and standardized anatomic site descriptions of skin cancer locations, visualize skin cancer locations, and attach...
- This Project Grant award from the National Cancer Institute (NCI) under the Cancer Detection and Diagnosis Research program (CFDA 93.394) provides $978,154 to Surgivance Inc. to further develop a digital pathology "laboratory-in-a-box" solution that produces and analyzes high-resolution, 3D digital pathology images at the point of care within seconds. The solution combines rapid confocal imaging hardware with AI-enabled software to automatically recolorize and interpret the digital...
- This Project Grant award from the National Cancer Institute (CFDA 93.394 - Cancer Detection and Diagnosis Research) provides funding of $349,878 to the University of Utah to develop and test a novel electrical impedance dermography (EID) device augmented with machine learning (ML) capabilities. The project aims to assess the ability of the EID-ML technology to distinguish between different subtypes of basal cell carcinoma (BCC) and squamous cell carcinoma (SCC), as well as differentiate...
- This SBIR Phase I project, awarded by the National Science Foundation (NSF) through its Technology, Innovation, and Partnerships (CFDA 47.084) program, aims to develop an innovative screening tool for early detection of breast cancer. The $305,000 award to Bired Imaging Inc. supports the efficient extraction of thermal-spatial point-cloud data from infrared images and the rapid assessment of physics-based AI algorithms to improve cancer detection, especially in women with dense breasts. The...
- This $275,000 Small Business Technology Transfer (STTR) Phase I grant from the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships program) was awarded to Oncoblaze LLC to develop a novel device for targeted delivery of chemotherapy agents to tissue surrounding surgically removed tumors. The project aims to address the issue of tumor recurrence after cancer surgery, which affects 30-40% of patients for certain cancers. The device uses an infrared laser to heat...
- Visikol Inc. received a $4,103,265 Project Grant award from the National Cancer Institute, a division of the Department of Health and Human Services, under the Cancer Detection and Diagnosis Research program (CFDA 93.394). The award will support the development of a 3D imaging diagnostic tool to improve characterization of metastatic melanoma in sentinel lymph node biopsies. Visikol will conduct a retrospective clinical study using archived negative sentinel lymph node biopsy tissue blocks to...
- The National Institute of Biomedical Imaging and Bioengineering (NIBIB) has awarded a $693,156 Project Grant (CFDA 93.286 Discovery and Applied Research for Technological Innovations to Improve Human Health) to the Dana-Farber Cancer Institute, Inc. (DFCI) to develop artificial intelligence (AI) algorithms for predicting prognosis and optimizing treatment selection for cutaneous squamous cell carcinoma (CSCC), a highly prevalent form of skin cancer. The project aims to train and validate AI...
- This Project Grant award, valued at $305,000.00 and provided by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program, supports the development and commercialization of a novel light-activatable nanoplatform for the targeted delivery of photodynamic therapy (PDT) and chemotherapy to treat peritoneal metastasis. The nanoplatform is designed to selectively eliminate cancer cells that could not be removed by surgery, with the goal of...
STTR PHASE II: DERMATOLOGIST-LEVEL DETECTION OF SUSPICIOUS PIGMENTED SKIN LESIONS FROM HIGH-RESOLUTION FULL-BODY IMAGES -THIS SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PHASE II PROJECT INCLUDES EARLY DETECTION OF SKIN CANCERS, RESULTING IN BETTER OUTCOMES AND A REDUCTION IN MORTALITY AND HEALTHCARE EXPENDITURES. EACH YEAR IN THE UNITED STATES, NEARLY 5 MILLION PEOPLE ARE TREATED FOR SKIN CANCER, WITH AN ANNUAL COST ESTIMATED AT $8.1 BILLION. ANNUAL PRODUCTIVITY LOSSES ARE ESTIMATED TO COST AN ADDITIONAL $4.5 BILLION. THERE IS A CONSIDERABLE HEALTH DISPARITY IN THE DIAGNOSIS OF SKIN CANCER WITHIN THE U.S.; THE AVERAGE WAIT TIME TO SEE A DERMATOLOGIST IS CURRENTLY 32.3 DAYS BUT IT VARIES GREATLY BY LOCATION. EARLY DETECTION REDUCES DISFIGUREMENT BY REDUCING THE SIZE AND EXTENT OF SURGICAL REMOVAL AND REDUCING THE SIDE EFFECTS THAT LATE-STAGE PATIENTS EXPERIENCE FROM SYSTEMIC THERAPIES. FURTHERMORE, THE PROJECT INCREASES THE ECONOMIC COMPETITIVENESS OF THE U.S. THIS SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PHASE II PROJECT IS TO PRODUCTIZE A NOVEL, PIGMENTED, LESION ANALYSIS SYSTEM FOR WIDE FIELD-OF-VIEW IMAGES. THE PRODUCT WILL BE BUILT ON A PREVIOUSLY DEVELOPED TOTAL BODY PHOTOGRAPHY SYSTEM AND PROOF OF CONCEPT LESION CLASSIFICATION SOFTWARE AS A MEDICAL DEVICE THAT WAS DEVELOPED IN PHASE I. THE DERMATOSCOPE-LIKE RESOLUTION PROVIDES A SOLID FOUNDATION FOR A SYSTEM THAT CAN AUTOMATICALLY (WITHOUT THE INVOLVEMENT OF A DERMATOLOGIST) DETECT AND CLASSIFY VARIOUS SKIN CONDITIONS IN A CLINICAL SETTING AND/OR A RADIOLOGY CENTER (SIMILAR TO HOW MAMMOGRAMS ARE DONE). SKIN CANCERS, INCLUDING BOTH MELANOMAS AND NON-MELANOMAS, ARE THE MOST COMMON TYPES OF CANCER IN THE UNITED STATES. EARLY-STAGE IDENTIFICATION OF SUSPICIOUS PIGMENTED LESIONS IN PRIMARY CARE SETTINGS CAN LEAD TO IMPROVED MELANOMA PROGNOSIS AND A POSSIBLE 20-FOLD REDUCTIONS IN TREATMENT COST. THIS TECHNOLOGY PROVIDES THE HEALTHCARE SYSTEM WITH A HIGHLY SENSITIVE, SPECIFIC, AND ECONOMICAL MEANS OF PROVIDING ANNUAL SKIN CANCER SCREENING TO ALL AT RISK INDIVIDUALS. THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.- SUBAWARDS ARE PLANNED FOR THIS AWARD.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $199.2k | 8/20/25 | ||
| Not listed | $0 | 5/20/25 | ||
| Not listed | $16.0k | 5/12/25 | ||
| Not listed | $996.4k | 2/23/24 |