This $256,000 National Science Foundation Project Grant under the Engineering (47.041) program will support the development of an artificial intelligence-based system for analyzing multiparametric magnetic resonance imaging (MRI) scans to detect prostate lesions. The awardee, Taurus Diagnostics, Inc., will create a novel prostate cancer diagnostic platform leveraging artificial intelligence image analysis for high sensitivity and specificity. Key objectives include developing methods to...
This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $305,000 to Segmedix, CO. aims to develop an AI-powered software system to improve the accuracy, consistency, and efficiency of prostate cancer diagnosis using magnetic resonance imaging (MRI). The project will create a style-encoding generative adversarial network (GAN) to harmonize prostate MRI images from different scanner vendors and field strengths, and a transformer-based...
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...
This National Science Foundation Project Grant of $606,649 will support the development of an engineered cyber-physical system combining advanced biological models and artificial intelligence methods to enable precision medicine for cancer treatment. Awarded under the Computer and Information Science and Engineering program, the funding will be used by Brigham and Women's Hospital and its parent organization Partners Healthcare System from October 2022 to September 2025. Specifically, the...
This $399,935 National Science Foundation (NSF) Project Grant Award under the Computer and Information Science and Engineering program (CFDA 47.070) aims to develop a portable and cost-effective biomedical diagnostic system in the form of an integrated lab-on-a-chip platform produced using additive manufacturing techniques. The key products and services to be delivered include: Advancing 3D manufacturing techniques, particularly in electrode printing, to enhance fabrication precision and...
This Project Grant award from the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships) provides $249,979 to the H. Lee Moffitt Cancer Center and Research Institute Hospital, Inc. to develop a Trustworthy Artificial Intelligence (AI) solution for identifying and marking the boundaries of brain tumors in magnetic resonance imaging (MRI) scans. The project, titled "PFI-TT: TRUSTWORTHY ARTIFICIAL INTELLIGENCE FOR THE VOLUMETRIC EVALUATION OF BRAIN...
This is a $300,000 EAGER (Early-Concept Grants for Exploratory Research) project grant awarded by the National Science Foundation's Engineering program (CFDA 47.041) to design neuro-adaptive technology for robotic-assisted surgery. The grant supports research to monitor surgeons' workload levels, understand the causes of mental overload, and develop interventions using an AI-powered multi-sensing system and context-awareness architecture. The goal is to refine remote surgery techniques to make...
This $274,594 Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports research and development of an innovative technology for cancer diagnosis and treatment. The project aims to improve molecular profiling and clinical laboratory testing of cancer samples by optimizing microdissection techniques. The research will focus on modeling and optimizing the opto-thermal-mechanical interactions involved in microdissection to...
This $354,066 federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) will support the development of a smart and connected robotic system for comprehensive diagnosis of abnormal tissues in the abdominal cavity. The award will fund research across three main thrusts: 1) integrating a multimodal instrument with balloon-based ultrasound and Raman spectroscopy capabilities to detect, classify, and stage tissue; 2) developing a tendon-driven continuum...
This Project Grant awarded by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) provides $1,418,716 to develop and validate an artificial intelligence (AI) surgical coaching system designed to enhance surgical performance and patient outcomes during urologic endoscopy procedures. The project aims to utilize machine learning algorithms to model real-life...