This Cooperative Agreement award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program provides $1,932,818 to Insilicom LLC, a woman-owned minority small business, to develop advanced artificial intelligence and knowledge graph technologies for assessing and predicting technology outcomes in healthcare and drug discovery.
The key products and services to be delivered include:
Expanding an existing award-winning pipeline for constructing large-scale biomedical knowledge graphs by incorporating a diverse set of technology-related entities and their relations extracted from sources like PubMed, patents, and Wikipedia.
Developing an end-to-end toolkit for fellow research teams to perform information extraction and construct knowledge graphs in their own domains using AI-assisted annotation methods.
Conducting a case study on applying the constructed knowledge graph to assess and predict outcomes for advanced manufacturing technologies used in generic drug production.
This project aims to leverage the latest advancements in natural language processing and predictive modeling to provide a comprehensive assessment of biomedical technology capabilities, informing R&D investments and driving strategic decision-making in healthcare and technology policy.