Project Grant R41CA261214
- The National Cancer Institute (NCI) awarded a $400,000 Project Grant under the Cancer Detection and Diagnosis Research program (CFDA 93.394) to Argosmd, Inc. to develop a low-cost, non-invasive Mini-Reflectance Confocal Microscopy (Mini-RCM) tool for aiding skin cancer diagnosis and treatment. The project aims to address limitations of existing Reflectance Confocal Microscopy (RCM) technology, which is FDA-cleared but has seen limited adoption due to high device cost, lack of portability, and...
- 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 $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 federal Project Grant award, valued at $306,872 and provided by the National Cancer Institute under the Cancer Treatment Research program (CFDA 93.395), aims to develop a new imaging system termed the Multi-Camera Array Scanner (MCAS). The MCAS will enable rapid 3D digitization and automated analysis of thick fine-needle aspiration (FNA) cytology smears, which are a critical first step in the cancer diagnosis pipeline. The project is a collaboration between Ramona Optics Inc., a small...
- 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 Cooperative Agreement award from the National Institutes of Health (NIH) under the Trans-NIH Research Support program (CFDA 93.310) provides $1,732,297 to the University of Arizona to develop a novel non-invasive optical imaging approach for assessing skin lesions at multiple scales. The project aims to address limitations in current imaging techniques by utilizing synthetic waves to enable deeper optical imaging within highly scattering skin tissue. The 2-year project period runs from...
- 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 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...
- The National Science Foundation awarded $256,000 to Optave Diagnostics LLC through the Technology, Innovation, and Partnerships program (CFDA 47.084) to develop a prototype endoscopic probe for molecular imaging and diagnosis of cancerous prostate pathologies. The 12-month project grant will support the creation of a medical device using photoacoustic imaging and acoustic lens technology to aid in the detection and diagnosis of prostate cancer. The proposed endoscopic probe offers an alternative...
- 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...
HIGH-SPEED, PORTABLE REFLECTANCE CONFOCAL MICROSCOPE (PRCM) FOR IMAGING SKIN CANCER - PROJECT SUMMARY/ABSTRACT THE CURRENT STANDARD OF CARE FOR SKIN CANCER DIAGNOSIS, BIOPSY, IS INVASIVE, SLOW, AND BURDENSOME IN COST. SKIN CANCER IS THE MOST COMMONLY DIAGNOSED CANCER IN THE US. BIOPSY OF SUSPICIOUS SKIN LESION IS THE KEY STEP OF SKIN CANCER DIAGNOSIS. 15-20 MILLION SKIN BIOPSIES ARE PERFORMED IN THE US ANNUALLY. ONCE BIOPSIED TISSUE IS REMOVED FROM A PATIENT, THE BIOPSY SPECIMEN IS TRANSPORTED TO AN OFF-SITE LABORATORY FOR PROCESSING AND STAINING. FINALLY, A PATHOLOGIST RENDERS A DIAGNOSIS BY ANALYZING THE SPECIMEN UNDER MICROSCOPY. THIS PROCESS IS INVASIVE, SLOW, AND BURDENSOME IN COST FOR THE HEALTHCARE SYSTEM. A DIAGNOSIS CAN TAKE AS MANY AS 2-4 WEEKS, WHICH DELAYS TREATMENT UPON A SUBSEQUENT VISIT, INCREASING PHYSICIAN UTILIZATION AND PATIENT WAIT TIMES. ADDITIONALLY, THE MAJORITY OF THE BIOPSIES ARE DETERMINED TO BE BENIGN, CAUSING UNNECESSARY COST AND MORBIDITY. REFLECTANCE CONFOCAL MICROSCOPY (RCM) HAS BEEN SHOWN TO IMPROVE SKIN CANCER DIAGNOSIS WITHOUT A BIOPSY, BUT ITS IMPACT HAS BEEN CONFINED TO ~63 TERTIARY AND TEACHING HOSPITALS IN THE US. RCM IS THE ONLY FDA-CLEARED IMAGING METHOD THAT CAN NON-INVASIVELY EXAMINE CELLULAR DETAILS. IN 2017, RCM WAS GRANTED CPT REIMBURSEMENT CODES, WHICH IS INCENTIVIZING HEALTHCARE PROVIDERS TO ADOPT RCM IN THEIR PRACTICES. HOWEVER, WIDESPREAD ADOPTION HAS NOT OCCURRED MAINLY DUE TO THE FOLLOWING WEAKNESSES: HIGH DEVICE COST (~$100,000), NON-PORTABILITY (CART-BASED), AND SLOW IMAGING SPEED (6-9 FRAMES/SEC (FPS), WHICH CAN PROLONG THE RCM IMAGING TO 15 MINUTES AND DISRUPT THE EXISTING CLINICAL WORKFLOW). OUR OVERARCHING GOAL IS TO DEVELOP A LOW-COST, PORTABLE RCM (PRCM) DEVICE AND MAKE NON-INVASIVE, RAPID SKIN CANCER DIAGNOSTICS ACCESSIBLE IN MOST CLINICAL SETTINGS. IN A PREVIOUS R21 PROJECT, DR. KANG (PI, UNIVERSITY OF ARIZONA) INVENTED THE WORLD'S FIRST SMARTPHONE-BASED, PRCM DEVICE. WE DEMONSTRATED PRCM IMAGING OF SKIN CANCERS IN UGANDA AND ARIZONA. IN 2019, ARGOSMD WAS FORMED TO COMMERCIALIZE THE PRCM TECHNOLOGY, AND SIGNED AN EXCLUSIVE LICENSING AGREEMENT WITH THE UNIVERSITY OF ARIZONA. OUR PROJECTED COMMERCIAL PRCM DEVICE WILL PROVIDE THREE UNIQUE STRENGTHS OVER THE CURRENT RCM: LOW DEVICE COST ($2,000), PORTABILITY (PEN-SIZED), AND FAST IMAGING (203 FPS). THESE STRENGTHS WILL ENABLE PRCM PENETRATE A WIDE RANGE OF CLINICAL SETTINGS (E.G., DERMATOLOGY, PRIMARY CARE, RURAL AND RETAIL CLINICS) AND ENABLE NON-INVASIVE, REAL-TIME DIAGNOSIS OF SKIN CANCERS IN THESE SETTINGS. IN THIS STTR PHASE I PROJECT, WE AIM TO DEVELOP A NEW AND IMPROVED PRCM DEVICE WITH 20 TIMES FASTER IMAGING SPEED THAN CURRENT RCM DEVICES. WE WILL ACHIEVE THIS GOAL THROUGH FOLLOWING SPECIFIC AIMS: AIM 1: DEVELOP A HIGH-SPEED PRCM DEVICE. WE WILL SIGNIFICANTLY INCREASE THE PRCM IMAGING SPEED BY DEVELOPING A NOVEL SPECKLE-MODULATED ILLUMINATION OPTICS. AIM 2: EVALUATE HIGH-SPEED PRCM BY IMAGING SKIN LESIONS IN VIVO. TWENTY LESIONS SUSPICIOUS FOR SKIN CANCER WILL BE IMAGED WITH THE PRCM DEVICE AND CURRENT RCM DEVICE TO EVALUATE THE IMAGE QUALITY.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $0 | 11/5/24 | ||
| Not listed | $398.2k | 6/10/22 | ||
| Not listed | $398.2k | 6/10/22 |