Project Grant R43CA285170
- This $255,991 National Science Foundation project grant supports the development of an automated system for rapid analysis of biopsy samples by Amcyt, Inc. The system aims to increase the efficiency and accessibility of fine needle aspiration biopsy procedures through three automated processes: sample smearing, staining, and image capture. This addresses a critical need to improve biopsy analytics and potentially eliminate up to 20% of failed procedures due to sampling errors. By automating...
- The National Cancer Institute awarded $1,057,841 to Pathware Inc. on September 1, 2026, under the Cancer Detection and Diagnosis Research program (CFDA 93.394) as a Small Business Innovation Research Direct-to-Phase II grant (R44CA302204). Pathware is developing an automated imaging platform combining coded ptychography with artificial intelligence algorithms to evaluate the diagnostic adequacy of unstained lung biopsy samples at the point of care. The system provides rapid on-site evaluation...
- 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...
- The National Cancer Institute awarded Eleuthra Photonics, Inc. $399,268 on September 1, 2026, under the Cancer Detection and Diagnosis Research program (CFDA 93.394) for Phase I Small Business Innovation Research (SBIR) development of nonlinear optics label-free microscopy technology to improve prostate cancer diagnosis from fresh needle biopsy specimens. The recipient will optimize the TetraQuant system for high-resolution imaging of fresh prostate needle biopsies by fabricating a custom...
- The National Science Foundation awarded a $275,000 Project Grant to Oraliva, Inc. under the Technology, Innovation, and Partnerships program to develop a portable, programmable single cell cytology platform for the early detection of epithelial cancers. The platform will combine microfluidics and artificial intelligence to classify potentially cancerous tissue in near real-time through multiparameter single-cell analysis and automated evaluation. The objectives are to link different clinical...
- This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $275,000 to Macula Vision Systems Inc., a for-profit organization, supports the development of a novel microscopy platform to automate the interpretation of microbiology lab tests performed in hospitals. The project aims to address the shortage of trained lab technicians by engineering a specialized light source, customized camera, and AI-enabled algorithms to analyze...
- 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...
- This National Science Foundation (NSF) Project Grant under the Engineering (CFDA 47.041) program provides $200,000 in funding to Yale University from October 1, 2023 through September 30, 2025. The grant supports the development of an open-source software platform and statistical methods to assess the performance of artificial intelligence/machine learning (AI/ML) models used for computational pathology. Key products and services to be delivered include: Validation of the existing MATLAB-based...
- The National Cancer Institute awarded Ramona Optics Inc. $306,872 on September 9, 2025, under the Cancer Treatment Research program (CFDA 93.395) to develop a multi-camera array scanner (MCAS) that rapidly digitizes and automatically analyzes fine-needle aspiration (FNA) cytology smears in three dimensions. The MCAS system will provide real-time imaging to enable rapid on-site evaluation (ROSE) of FNA biopsy specimens during procedures such as bronchoscopies. Current limitations in ROSE...
- 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...
LEVERAGING LABEL-FREE DIGITAL IMAGING TO ENABLE RAPID ON-SITE EVALUATION (ROSE) DURING THYROID BIOPSY PROCEDURES - PROJECT SUMMARY/ABSTRACT PATHWARE IS DEVELOPING BIOPTIC, AN IMAGING PLATFORM TO ANALYZE BIOPSY SAMPLES AT THE POINT-OF-CARE. THE SYSTEM WILL RAPIDLY DIGITIZE UNSTAINED BIOPSY SAMPLES AND UTILIZE COMPUTER-AIDED DETECTION/DIAGNOSTICS TO ENABLE QUICK AND EFFICIENT EVALUATIONS BY PATHOLOGISTS. TYPICAL BARRIERS TO POINT-OF-CARE DIAGNOSTICS ARE OVERCOME BY COMBINING NOVEL COMPUTATIONAL MICROSCOPY WITH AI (ARTIFICIAL INTELLIGENCE) ALGORITHMS TO DIRECT ON-SITE OR REMOTE PATHOLOGISTS TO REGIONS OF CLINICAL INTEREST. THIS PROPOSED RESEARCH'S BROAD, LONG-TERM OBJECTIVE IS TO ENABLE REAL- TIME DIAGNOSTICS OF PATHOLOGY SAMPLES AT THE POINT-OF-CARE. THYROID NODULES HAVE A HIGH INCIDENCE RATE, AND ASSESSMENT VIA FINE-NEEDLE ASPIRATION (FNA) BIOPSY IS OFTEN AN INTEGRAL STEP IN THE DIAGNOSTIC PIPELINE. THE BIOPSY SAMPLES ARE FREQUENTLY INADEQUATE FOR DIAGNOSIS RESULTING IN REPEAT BIOPSIES OR UNNECESSARY SURGICAL RESECTIONS. RAPID ON-SITE EVALUATION (ROSE) FOR SAMPLE ADEQUACY IS IDEAL FOR PATIENT CARE, BECAUSE IT MITIGATES THE RISK OF INADEQUATE SAMPLES BY VERIFYING DIAGNOSTIC QUALITY AT THE POINT-OF-CARE. DESPITE THE HIGH INCIDENCE OF INADEQUATE BIOPSIES, ROSE IS PERFORMED IN LESS THAN 25% OF THYROID BIOPSY PROCEDURES DUE TO FINANCIAL AND OPERATIONAL BARRIERS, INCLUDING PATHOLOGIST AVAILABILITY. THE CURRENT ALTERNATIVES TO ROSE (TELEPATHOLOGY, ROBOTIC MICROSCOPY, AND LIVE-STREAMING MICROSCOPY) ARE PLAGUED BY BARRIERS TO ADOPTION DUE TO THE REQUIREMENT OF STAINING SAMPLES, TECHNICAL CHALLENGES, AND REGULATORY LIMITATIONS. AI- ASSISTED ROSE HAS THE POTENTIAL TO OVERCOME THESE BARRIERS AND PROVIDE A SUPERIOR STANDARD-OF-CARE. THE IMMEDIATE GOALS OF THE PROPOSED PROJECT ARE TO 1) DEMONSTRATE NON-DESTRUCTIVE IMAGING OF UNSTAINED THYROID CYTOLOGY SMEARS WITH A NOVEL MICROSCOPY MODALITY AND 2) TRAIN AI ALGORITHMS ON THE ACQUIRED IMAGES FOR FUTURE DEVELOPMENT OF COMPUTER-AIDED DETECTION ALGORITHMS FOR ROSE ADEQUACY ASSESSMENTS.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $0 | 11/26/24 | ||
| Not listed | $400.0k | 7/3/23 |