Cooperative Agreement 2035750

This $1,063,155 Project Grant awarded by the National Cancer Institute (NCI) under the Cancer Cause and Prevention Research program (CFDA 93.393) aims to develop and test a novel quality assurance (QA) device for advanced radiation therapy techniques. The device, named the RetrieveTM, will enable more precise, efficient, and comprehensive QA compared to existing solutions. The project seeks to: 1) refine the hardware to measure machine performance metrics to within 0.5 mm and 1% relative dose,...

This federal Project Grant award from the National Cancer Institute (CFDA 93.395 Cancer Treatment Research) provides funding of $718,740 to Voxel Healthcare LLC, a woman-owned small business, for the development of the ClickBrain RT system. ClickBrain RT is a cloud-based deep learning software tool that aims to optimize radiation therapy treatment planning for pediatric brain tumor patients by incorporating detailed 3D brain structure segmentation and dose prediction modeling. The key products...

The National Cancer Institute (NCI) awarded a $898,497 Project Grant under the Cancer Cause and Prevention Research program (CFDA 93.393) to Radiopharmaceutical Imaging and Dosimetry, LLC (RAPID) for the development of a cloud-based, customer-responsive dosimetry tool for alpha-particle emitting radiopharmaceutical therapies. The funding will enable RAPID to build upon its previous work and transition from a radiological protection-based dosimetry paradigm to one focused on normal tissue...

This Project Grant award, funded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084), aims to develop a cloud-based software platform to identify multi-omics biomarkers for guiding non-small cell lung cancer treatment decisions. The total funding amount is $305,000, with an award date of June 1, 2025 and a completion date of May 31, 2026. The proposed technology, developed by the minority-owned, woman-owned small business Sostos...

This Project Grant award from the Agency for Healthcare Research and Quality (CFDA 93.226 - Research on Healthcare Costs, Quality and Outcomes) to Thomas Jefferson University provides $393,974 to develop innovative methods and tools to improve ransomware attack resiliency in radiation oncology. The project aims to 1) establish design goals for ransomware resiliency through interviews and simulated exercises, 2) develop novel software functionality including a relational backup system,...

This $2,007,264 Project Grant awarded by the National Cancer Institute (NCI) under the Cancer Detection and Diagnosis Research program (CFDA 93.394) funds the development of TORCH RECON, an innovative software system that leverages Monte Carlo simulation and deep learning techniques to enhance the accuracy, resolution, and throughput of single-photon emission computed tomography (SPECT) imaging for radiopharmaceutical therapy (RPT) applications. The project, conducted by Voximetry Inc., aims...

This Project Grant from the National Science Foundation Division of Mathematical Sciences supports the development of a generalizable data framework to enable precision radiotherapy for individual cancer patients. Funded at $104,016 under the Mathematical and Physical Sciences program (CFDA 47.049), the award will support collaborative research between Jackson Laboratory and other organizations to build and validate a deep reinforcement learning model using multimodal imaging data from cancer...

This National Science Foundation (NSF) Small Business Innovation Research (SBIR) Phase I project awarded to 3Fates-Xray, Inc. aims to develop a deep learning approach to enable "single-shot" X-ray phase-contrast imaging. This technology has the potential to significantly enhance the capabilities of next-generation X-ray imaging systems for applications such as aviation security, food inspection, and additive manufacturing quality control. The $274,996 award, which runs from Sep 1, 2023...

This $1,625,000 Project Grant award from the National Cancer Institute (NCI), under the Cancer Detection and Diagnosis Research program (CFDA 93.394), supports the development and validation of a radiomics-based, multi-modal predictive model for assessing response to PD-1/PD-L1 immunotherapy in patients with metastatic non-small cell lung cancer (NSCLC). The key objectives are to: 1) Validate the predictive models in a multi-institutional prospective clinical study; 2) Evaluate the performance...

This National Science Foundation (NSF) Cooperative Agreement award to Quantivly Inc. provides $979,657 in funding from the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program. The project aims to build a digital twin of radiology operations to improve the utilization of medical imaging equipment and increase access to medical imaging for the population. Key innovations include developing a generic data architecture, applying artificial intelligence techniques to learn imaging...