Innovative Screening Approaches and Therapies for Screenable Disorders in Newborns (R21 - Clinical Trial Optional)
This FOA encourages research relevant to the development of novel screening approaches and/or therapeutic interventions for potentially fatal or disabling conditions that have been identified through newborn screening, as well as for "high priority" genetic conditions where screening may be possible in the near future.Having an accurate screening test, as well as demonstrating the benefits of early intervention or treatment, are important criteria for including a condition on a newborn screening panel. This FOA defines a "high priority" condition as one where screening is not currently recommended, but infants with the condition would significantly benefit from early identification and treatment.
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- Eligibility
- Open to nonprofit organizations. Other Eligible Applicants include the following: Alaska Native and Native Hawaiian Serving Institutions; Asian American Native American Pacific Islander Serving Institutions (AANAPISISs); Eligible Agencies of the Federal Government; Faith-based or Community-based Organizations; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Indian/Native American Tribal Governments (Other than Federally Recognized); Non-domestic (non-U.S.) Entities (Foreign Organizations); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U.S. Territory or Possession.
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→NIOSH is encouraging the submission of an application from qualified organizations for a National Center for Construction Safety and Health Research and Translation. Applicants are encouraged to propose multidisciplinary approaches and coordination for impactful applied and intervention research, hazard identification, and controls; develop partnerships for implementing prevention and intervention activities; and serve as a leader in research translation and research-to-practice for the protection of construction workers in the U.S. The Center will accomplish these goals by integrating and advancing research, research translation, best practices, policy and guidance, and capacity building. Center work should consider the NIOSH strategic plan and NORA construction research objectives. Center structure should take advantage of diverse scientific resources and focus on national worker safety and health issues. Centers should emphasize the creation and implementation of evidence-based solutions that address important construction industry safety and health problems. Collaborations with other academic institutions, nonprofit organizations, and other occupational safety and health-focused groups are expected. Applicants must concisely describe the occupational health burden of important safety and health issues in the construction industry and discuss how focused research and outreach activities will help alleviate the burden and reduce numbers. Applicants should also clearly articulate the anticipated impacts of the Center’s proposed work, both during the project period and beyond.
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→The overarching goal of this notice of funding opportunity (NOFO) and its companion opportunities is to establish the Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) Program to support development of innovative, reliable, cost-effective, and sustainable multimodal AI-based clinical decision support (CDS) tools. PRIMED-AI CDS tools are based on the integration of clinical imaging with other types of multimodal health data to enhance care for patients with a wide range of health conditions. The PRIMED-AI Program seeks to catalyze the adoption of AI-based CDS tools into clinical workflows to enable novel personalized medicine strategies that address significant health challenges. The purpose of this NOFO is to solicit applications for the creation of a Validation Center to serve as a dedicated hub for the comprehensive evaluation and characterization of AI-enabled, image-based, multimodal CDS tools developed by the PRIMED-AI Consortium, to ensure these tools are reliable, reproducible, and generalizable. The Validation Center will focus on verification, validation, interoperability, and uncertainty quantification to comprehensively characterize performance of the CDS tools developed by the program. The core functions of the Validation Center will involve the systematic validation of PRIMED-AI Consortium deliverables, including those emerging from award recipients under the Playbook, Data-to-Model Academic-Industrial Partnerships, and Model-to-Clinic NOFOs.
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