RADx Tech Fetal Monitoring Challenge


Image of a pregnant woman with a series of circles around her with medical images and the text RADx Tech Fetal Monitoring Challenge and the NIH logo


The Rapid Acceleration of Diagnostics Technology (RADx® Tech) Fetal Monitoring Challenge will award up to $2 million in prizes to accelerate the development of diagnostic and monitoring technologies to reduce the risk of fetal morbidity and mortality and thus improve fetal and neonatal health outcomes. Successful technologies developed in this Challenge will directly measure one or more parameters of fetal health status during the late antepartum and/or intrapartum periods of pregnancy. These parameters will be used to provide actionable information that can be used for clinical decision-making and be implementable at either the point of care or in a home-based setting. Examples of desired technologies include, but are not limited to, wearable devices, smartphone-enabled diagnostic tools, integrated sensing and/or imaging technologies, digital health platforms, and in vitro diagnostic devices or tests. Importantly, technologies must have a reasonable likelihood of market entry within the next 5 years and must have strong potential for accessible, cost-effective use and impact in low-resource settings, such as low- and middle-income countries as well as areas of high-income countries where there is limited access to high-quality prenatal healthcare. 

Innovators participating in this Challenge will initially submit a proposal describing in detail their fetal health diagnostic or monitoring technology, anticipated clinical impact, and plans for continued development and implementation in low-resource settings. Winners of Phase 1 will be invited to deliver a live presentation and technology demonstration in Phase 2 at an event held on the NIH campus in Bethesda, MD on January 30, 2024. Winners of Phase 2 will receive a cash prize each and advance to the Phase 3 technology development sprint where they will compete for substantial cash prizes by de-risking and further maturing their technologies with support by a RADx Tech Project Team of healthcare technology commercialization and content experts. 

Please visit the Challenge.gov RADx Tech Fetal Monitoring site for additional details and official rules. The submission period for this Challenge has ended.


    The total prize purse for this Challenge is $2,000,000. Prizes will be awarded following the successful completion of each phase of the Challenge in the following amounts:

    • Phase 1 – $5,000 per winner; up to 10 winners will be selected as semi-finalists to advance to Phase 2
    • Phase 2 – $75,000 per winner; up to 6 winners will be selected as finalists to advance to Phase 3
    • Phase 3:
      • 1st place = $750,000
      • 2nd place = $400,000
      • 3rd place = $200,000
      • Runner ups = 3 prizes at $50,000 each

    Important Dates

    • Registration and Submission Portal Opens: September 18, 2023
    • Informational Webinar: October 5, 2023 at 3:00pm ET 
    • Phase 1 Submission Deadline: November 17, 2023, at 11:59pm ET - submission period has ended. 
    • Phase 1 Winners Announced: December 15, 2023 (anticipated)
    • Phase 2 Technology Presentation and Demonstration event: January 30, 2024
    • Phase 2 Winners Announced: March 2024 (anticipated)
    • Phase 3 Technology Development Sprint: March – August 2024
    • Phase 3 Winners Announced: October 2024 (anticipated)

    Related News & Events

    October 5, 2023 - October 5, 2023
    The NIH has launched the RADx Tech Fetal Monitoring Challenge to accelerate the development of diagnostic and monitoring technologies to reduce the risk of fetal morbidity and mortality and thus improve fetal and neonatal health outcomes. If you have questions or would like to learn more, please join us for our informational webinar.
    August 14, 2023 - August 14, 2023
    The third installment of the NIBIB National Technology Centers (NCBIB) Webinar Series showcases four centers specializing in optical imaging and spectroscopy methods and applications of Artificial Intelligence applications in biomedical research and clinical translation.