This National Science Foundation (NSF) Project Grant, awarded under the Computer and Information Science and Engineering program (CFDA 47.070), provides $220,000 to Yale University from September 1, 2023 through August 31, 2027. The project aims to develop a smarter artificial intelligence (AI) system to better understand and analyze complex medical images, such as those from multiple scans of a patient. The research team will tackle challenges to make the AI system more scalable, interpretable,...
This $255,807 National Science Foundation project grant will fund the development of an AI-assisted software system to accelerate the labeling of medical tomographic images. Administered through the NSF Directorate for Engineering's Engineering program (CFDA 47.041), the grant aims to extract new information from medical images and improve patient outcomes. Alienbyte Scientific Software Inc. will apply machine learning algorithms to create an adaptive system that evolves to increase the speed,...
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...
The National Science Foundation (NSF) awarded a $597,893 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Connecticut (UConn). This 3-year grant, starting on May 1, 2024, is dedicated to developing novel algorithms and computational methods that integrate genomics, pathology, and other multimodal data to build precise disease prediction models. The project aims to advance the state-of-the-art in integrating diverse molecular data...
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...
This $300,000 Project Grant awarded by the National Science Foundation (NSF) under the Integrative Activities (CFDA 47.083) program supports the development of an innovative, intelligent surgical probe for prostate cancer treatment. The project aims to create an edge artificial intelligence (AI) system-on-chip for bioimpedance analysis that can accurately distinguish cancerous from healthy tissue during prostate removal surgery. The novel technology being developed includes an adaptive filter to...
This National Science Foundation (NSF) Project Grant award, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $855,000 in funding to the Texas A&M Engineering Experiment Station (Tees) to develop a bimodal interpretable multi-instance medical image classification framework. The research aims to create a more scalable, interpretable, and robust artificial intelligence (AI) system to better analyze complex medical images, such as from multiple patient...
The National Science Foundation (NSF) awarded a $330,333 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the Mayo Clinic in Rochester, MN. The grant will fund the acquisition of computational hardware, including GPU- and CPU-based servers, to support artificial intelligence research in pathology based on a large-scale clinical data repository that the Mayo Clinic is digitizing. The project aims to develop a shared computational resource to...
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...
The National Science Foundation (NSF) awarded a $199,792 Computer and Information Science and Engineering (CISE) program grant to the University of Miami to develop novel methodologies for detecting data shifts in artificial intelligence/machine learning-enabled software as a medical device (AI/ML-SAMD) in medical cyber-physical systems. The project aims to create a framework that allows SAMDs to adapt through real-world learning, enhancing their safety and effectiveness in detecting lung cancer...