Cooperative Agreement 2304102

Award Date 10/1/23
Completion Date 9/30/25
Dollars Obligated $1M
Federal Grant Program
47.084
Assistance Type
Cooperative Agreement
Place of Performance
Glendale, CA 91207, USA
Similar Awards
This $1,000,000 cooperative agreement from the National Science Foundation (NSF) will fund the development of a blockchain ecosystem and artificial intelligence to optimize prior authorization processes in the pharmaceutical industry. Red Oak Strategic LLC will leverage distributed ledger technology to create an encrypted, decentralized patient data sharing network among prescribers, payers, and patients. Smart contracts will automate criteria fulfillment, facilitate machine learning-based...
The National Science Foundation (NSF) awarded Softhread Inc., a woman-owned technology company, a $984,905 Cooperative Agreement under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program. This SBIR Phase II project expands upon previous Phase I work to develop a "zero-trust" blockchain-based solution for securing the confidential exchange of precision health data such as advanced directives and life-sustaining treatment plans. The technology combines blockchain,...
This $254,091 National Science Foundation Project Grant under the Engineering (47.041) program will support the development of a healthcare data integration platform using blockchain and artificial intelligence. Emtruth, Inc. will receive funding to advance foundational technologies for searching and retrieving heterogeneous data secured in blockchain across a distributed data platform. The company will normalize blockchain data into more granular blocks to simplify integration and...
This $275,000 Project Grant award was provided by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) to Medimint, a minority-owned and woman-owned small business. The award funds the development of a blockchain-powered medical image sharing platform to address challenges with current data transfer practices in the healthcare industry. The key objectives are to design novel security protocols and smart contracts that enable...
This $275,000 SBIR Phase I award from the National Science Foundation's (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program seeks to develop a blockchain-based platform that can accurately represent and execute complex intellectual property (IP) rights. The project aims to deconstruct legal IP documents into "programmable rights units" that can be automatically executed on any blockchain in a cost-efficient manner. The anticipated result is a blockchain-agnostic...
This Project Grant award for $600,000, provided by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports research at Brown University to develop new computational methods for integrating heterogeneous health data. The goal is to improve predictive modeling and explainable artificial intelligence techniques for advancing personalized healthcare and treatment. The key products of this 5-year project include novel graph-based...
This NSF Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $275,000 to Zebramd Inc. aims to develop an electronic health record (EHR) integrated artificial intelligence system capable of predicting rare diseases in undiagnosed patients and providing evidence-based treatment recommendations for already diagnosed rare disease patients. The broader impact of this Small Business Innovation Research (SBIR) Phase I project is to potentially improve the diagnosis and...
This $997,693 Cooperative Agreement awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program aims to develop an interactive health assessment and monitoring platform to improve patient-provider communication and reduce healthcare costs. The project by Literaseed, Inc. integrates electronic health record (EHR) data with natural language processing (NLP) techniques to extract valuable information from medical records, enabling...
This Cooperative Agreement award, provided by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program, funds a project to develop an advanced AI-driven algorithm for optimizing new patient referral pathways. The $1,250,000 award to Iiam Corporation aims to improve the efficiency, accuracy, and equity of referral triage and management across healthcare systems. The project will focus on expanding the algorithm's capabilities by...
This Project Grant award in the amount of $165,000, provided by the National Science Foundation (NSF) under its Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to enhance eventual data consistency in large-scale, multidimensional scientific computing through the development of a lightweight in-memory distributed ledger system. The project, led by Augusta University Research Institute, Inc. (dba Georgia Health Sciences), a non-profit research organization, will...

SBIR PHASE II: A PLATFORM FOR HEALTH CARE DATA INTEGRATION USING BLOCKCHAIN AND ARTIFICIAL INTELLIGENCE -THE BROADER IMPACT/COMMERCIAL POTENTIAL OF THIS SMALL BUSINESS INNOVATION RESEARCH (SBIR) PHASE II PROJECT IS TO PROVIDE THE PERSONAL HEALTHCARE DATA NEEDED TO IMPROVE THE PATIENT?S OUTCOME AND EXPERIENCE]. BECAUSE HEALTHCARE DATA IS PROTECTED, A SECURE WAY OF SHARING THE RIGHT DATA, WITH THE RIGHT PEOPLE, AT THE RIGHT TIME IS NEEDED. CURRENTLY, ATTEMPTS TO HARMONIZE DATA FROM MANY SYSTEMS, AND IN MANY FORMATS AND SIZES IS VERY DIFFICULT AND EXPENSIVE AND SO SUCH EFFORTS ARE LACKING. ADVANCING BLOCKCHAIN AND ARTIFICIAL INTELLIGENCE TECHNOLOGIES FOR DISTRIBUTED DATA MANAGEMENT AND ENABLING RADICAL DATA INTEROPERABILITY BENEFITS PATIENTS AND ADDRESSES A PRIORITY NEED IN A $3.93 TRILLION HEALTHCARE MARKET. THIS TEAM DEVELOPS THE TECHNOLOGY FOR A PLATFORM THAT SECURES DATA OF ANY TYPE FROM ANYWHERE IN IMMUTABLE BLOCKCHAINS WHILE RESPECTIVE DATA OWNERS RETAIN OWNERSHIP AND CONTROL TO SECURELY SHARE JUST-NEEDED DATA FOLLOWING THEIR DATA GOVERNANCE CRITERIA. DATA IS TRANSFORMED AND NORMALIZED INTO MORE GRANULAR BLOCKCHAINS AND THAT CAN BE COMBINED FOR INDIVIDUAL OR AGGREGATED POPULATION HEALTH MODELING. NATURAL LANGUAGE PROCESSING IS COMBINED WITH A CURATED THESAURUS TO AUTOMATICALLY CREATE METADATA TAGS FOR ENCRYPTED BLOCKCHAINS, FACILITATING DATA SEARCHES, DISCOVERY, AND ADVANCED ANALYTICS. BECAUSE HEALTHCARE DATA IS COMPLEX AND DIVERSE, THIS PROJECT DEMONSTRATES, THROUGH PRIORITY USE CASES, HOW DATA NEEDS TO BECOME INTEROPERABLE. SUCH USE CASES INCLUDE 1) SHARING PATIENT CLINICAL DATA FOR PARTICIPATION IN CLINICAL RESEARCH WITH CONSENT; 2) CREATING A MORE COMPLETE PATIENT HEALTHCARE RECORD THAT SPANS MANY SERVICES OR TREATMENTS; 3) BRIDGING AN OPERATIONAL GAP BETWEEN CLINICAL DATA AND CLAIMS; AND 4) COLLABORATING AMONG RESEARCH ORGANIZATIONS IN SEVERE DISEASE TREATMENT. ADDITIONAL TECHNOLOGIES INCLUDE INSTANTIATING A DATAMART ON DEMAND FROM BLOCKCHAINS FOR ANALYTICS, MACHINE LEARNING, AND AUTOMATING SHARING OF DATA, VIA SMART CONTRACTS, CAPTURING CRITERIA, AND LIKE CONSENT. THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.- SUBAWARDS ARE PLANNED FOR THIS AWARD.

Posted 9/20/23, 12:00 AM