This Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) totaling $2,245,769 aims to develop an integrated brain state monitoring system for personalized anesthesia decision support to prevent postoperative delirium in elderly and at-risk patients. The project, awarded to Pascall Systems, Inc., a for-profit medical technology company, focuses on four key objectives: Establishing technical feasibility for integrating the company's FDA-cleared wireless EEG...
This $768,122 Project Grant from the National Institute of General Medical Sciences will support the development of statistical software to predict adverse medical events in preterm infants using multi-sensor streaming data. The awardee, William D Shannon Consulting LLC doing business as Biorankings, will develop an algorithm to transform sensor data from neonatal intensive care units into graphical representations of associations. Decision rules from statistical process control will then...
This $284,317 Project Grant award from the National Institute of Nursing Research (NINR) under the Nursing Research (CFDA 93.361) federal grant program will fund the development of Potentia Analytics Inc.'s patient-centric health recorder application called MyDocSaid. The goal is to create a secure, searchable, and user-friendly technology platform that enhances patient recall, comprehension, and engagement in their own healthcare by using advanced natural language processing and artificial...
The National Heart, Lung, and Blood Institute (NHLBI), under the Cardiovascular Diseases Research federal grant program (CFDA 93.837), awarded a $1,208,196 project grant to Pip Care, Inc. to develop and evaluate a personalized, interactive digital health platform with a virtual health coach. The platform aims to optimize the perioperative care process and improve patient outcomes for the 48 million surgeries performed annually in the U.S. The project will: 1) expand the platform to include new...
This $498,042 federal Project Grant award from the National Institute of Environmental Health Sciences (NIEHS) under the Medical Library Assistance (CFDA 93.879) program supports the development and evaluation of multi-modal clinical diagnostic reasoning models for automated diagnosis generation. The project aims to address the significant issue of diagnostic errors that affect 12 million patients and contribute to 80,000 deaths annually in the U.S. The research will focus on using artificial...
This Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) provides $299,893 to Pascall Systems, Inc. to develop a novel system that combines pre-operative cognitive assessment with Pascall's FDA-cleared wireless EEG technology for intraoperative monitoring. The goal is to enable personalized anesthesia care and effective monitoring of postoperative neurocognitive disorders (PNDs) in elderly surgical patients. The key products and services to be delivered...
This Project Grant award from the National Institute of Environmental Health Sciences (NIEHS) under the Medical Library Assistance (CFDA 93.879) federal grant program provides $729,821 to Boston Children's Hospital to develop artificial intelligence (AI) and machine learning (ML) methods for real-time monitoring and updating of clinical decision support (CDS) systems. The goal is to reduce downstream health disparities that may arise from biases in the underlying data used to train these AI/ML...
This federal Project Grant award from the National Institute on Drug Abuse (NIDA), under the Drug Use and Addiction Research Programs (CFDA 93.279), provides $295,906 to Addinex Technologies, Inc. to integrate and assess the practicality of a closed-loop medication management system for opioid pain management in emergency department patients with extremity fractures. The project aims to adapt the Addinex system to align with hospital pharmacy workflows, streamline patient onboarding, and develop...
This Project Grant award from the National Institute of Environmental Health Sciences (NIEHS) under the Medical Library Assistance (CFDA 93.879) federal grant program will fund the development of an AI-based tool for automating the extraction of data from tables in published studies. The $304,971 award to Nested Knowledge Inc. aims to build and test a large language model (LLM) capable of extracting interventions, data elements, and timepoints from tables, which can then be integrated into...
The National Institute of Environmental Health Sciences (NIEHS) awarded a $200,000 Project Grant under the NIEHS Hazardous Waste Worker Health and Safety Training program (CFDA 93.142) to Medcognition Inc., a small disadvantaged business based in San Antonio, Texas. The grant funding supports the development and evaluation of interactive virtual autoinjectors and patches for hazardous materials (hazmat) emergency response training within Medcognition's Persim mixed reality patient simulator...
This Project Grant award from the National Institute of Environmental Health Sciences (NIEHS) under the Medical Library Assistance (CFDA 93.879) program provides $313,819 to Guided Clinical Solutions Inc. to develop a real-time medication safety software platform called GUIDEDOR for use in the operating room. The software integrates with the electronic health record system and uses real-time data to display patient-specific information and alerts to prevent medication errors during surgery. In Phase I of this 6-month SBIR Fast-Track project, the company will identify requirements and deploy new algorithms to support additional critical functionality such as local anesthetic systemic toxicity, glucose management, and perioperative antibiotic management. Phase II will then focus on iteratively addressing usability challenges and performing end-to-end testing, including a "silent mode" to evaluate the new algorithms in live surgical cases. Upon completion, the enhanced GUIDEDOR platform aims to transform medication safety in surgery and anesthesia, improving patient outcomes, clinician efficiency, and cost-effectiveness for hospitals and payors.