Due: November 13, 2023 The objective of this challenge is to develop initial proof of concept prototypes using Artificial Intelligence (AI) Large language models to automate the process of conducting ISD analysis, requirements development, for Read More
Due: November 14, 2023 This initiative seeks proposals from the small business community to support the development of compact tools and devices capable of manufacturing key chemical intermediates at the benchtop for research operations.
Due: November 14, 2023 The development of an accurate, inexpensive home test for Prostate Specific Antigen (PSA) is both an unmet need and an NCI priority for reducing cancer mortality by half within 25 years.
Due: November 14, 2023 The overarching goal of this initiative is to bring new alternatives for HPV testing to the market that will enable self-testing programs to be established globally at point-of-care or near point-of-care.
Due: November 17, 2023 The RADx® Tech Fetal Monitoring Challenge will award up to $2.0 million in prizes to accelerate the development of diagnostic and monitoring technologies to reduce the risk of fetal morbidity and Read More
Due: January 5, 2024 The Agency for Healthcare Research and Quality (AHRQ) is announcing a Challenge competition to accelerate the identification and elimination of disparities in the receipt of clinical preventive services.
Due: January 19, 2024 Multi-stage challenge designed to identify technologies that will provide first responders with real-time data to improve situational awareness
Due: November 13, 2023 The DARPA Triage Challenge (DTC) aims to drive breakthrough innovations in identification of “signatures” of injury that will help medical responders perform scalable, timely, and accurate triage.
Due: November 9, 2023 Phase 2 of a three part challenge designed to improve the data collection and utilization by the Census Bureau regarding national supply chains.
Due: October 20, 2023 The goals of the NIDDK-CR Data Centric Challenge will be to 1) generate an “AI-ready” dataset that can be used for future data challenges, and 2) to produce methods that can Read More
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