Meet our team at BioTechX Europe in Basel on the 9-10 October 2024, booth 724. Schedule a meeting with our team HERE.
was successfully added to your cart.

    John Snow Labs Awarded Phase I SBIR Contract for the Development of Medical Large Language Models for Infectious and Immune-Mediated Diseases

    Avatar photo
    Head of PR, John Snow Labs

    Grant will fund R&D of LLMs for automated entity recognition, relation extraction, and ontology metadata enrichment from free-text clinical notes

    John Snow Labs, the AI for healthcare company, today announced it has been awarded a Small Business Innovation Research (SBIR) Phase I contract by the National Institutes of Health’s National Institute of Allergy and Infectious Diseases (NIAID) for the development of medical Large Language Models (LLMs) for infectious and immune-mediated diseases. The award, totaling $299,208 for one year, will be used for research and development of LLMs for automated named entity recognition (NER), relation extraction, and ontology metadata enrichment from free-text clinical notes.

    A prevailing challenge in this field involves accurately linking identified entities from tables, columns, or individual data values and their relationships. With a lack of semantic data standards for tracking infectious diseases like tuberculosis, measles, influenza, COVID-19, and others, it’s difficult to accurately measure and study them. The ability to make sense of relevant information from different healthcare organizations, coding systems, and modalities of data is critical to better understand the spread of disease.

    Another important component to advancement in the field is ensuring findability, accessibility, interoperability, and reusability (FAIR) of information among the scientific community. This enables researchers to easily discover pertinent information and use it to further improve the understanding and outcomes around infectious disease. As such, this project goes beyond creating new tools, with a focus on promoting the sharing of data across the medical community.

    The John Snow Labs team will collaborate on this project with Nasia Safdar, MD, infectious disease physician at The University of Wisconsin Health and Christina Cuomo, PhD, Viatris Professor of Molecular Microbiology and Immunology at Brown University.

    “This SBIR Phase I award from NIAID represents a significant milestone for John Snow Labs and our commitment to using AI to accelerate modern medicine,” said David Talby, CTO, John Snow Labs. “The development of Medical LLMs that researchers can use to address complex challenges in the measurement and tracking of infectious disease has the potential to mitigate the spread of disease and save lives.”

    How useful was this post?

    Try The Generative AI Lab - No-Code Platform For Model Tuning & Validation

    See in action
    Avatar photo
    Head of PR, John Snow Labs
    Our additional expert:
    Gina Devine, Head of PR, John Snow Labs. Gina is a public relations strategist with over a decade experience working with enterprise technology and healthcare organizations. Having held roles at agencies, in-house, and as a freelance consultant, she has worked with more than 30 clients, helping to develop and execute communications and media plans that align with strategic business goals. She studied communications and political science at the University of Massachusetts, Amherst, and has a master's degree in public relations from Boston University. For media inquiries: gina@johnsnowlabs.com

    AI for Equity: Extracting Stigmatizing Language from Medical Texts for Better Patient Care

    Medicine’s fundamental goal is to assist patients in managing and improving their health conditions. However, the language used within medical settings can...
    preloader