Rural Communities Opioid Response Program (RCORP)-Technical Assistance

The overall purpose of the Older Adult Home Modification Program (OAHMP) is to assist experienced nonprofit organizations, state and local governments, and public housing authorities in undertaking comprehensive programs that make safety and functional home modification repairs and renovations to meet the needs of low-income seniors. The goal of the home modification program is to enable low-income elderly persons to remain in their homes through low-cost, low barrier, high impact home modifications to reduce older adults" risk of falling, improve general safety, increase accessibility, and to improve their functional abilities in their home. This will enable older adults to remain in their homes, that is, to "age in place," rather than move to nursing homes or other assisted care facilities.

The NPRC will serve as the nation"s go‐to source for trusted information, real‐time help, community capacity‐building, and peer support and community-based resources that promote independence and participation. The NPRC will advance independence, informed choice, and full participation in community life for individuals living with paralysis. The NPRC will improve the health and quality of life of people living with paralysis by reducing environmental, social, and systemic barriers to health and community living. The program will also strengthen community capacity through competitive subawards and tracks progress through performance measures and a public dashboard.

The Medical Student Education (MSE) Program provides support to public medical schools in the top quartile of states with a projected primary care provider shortage to expand or support education for medical students preparing to become physicians.

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.

In response to a longstanding congressional mandate (P.L. 98-619, Departments of Labor, Health and Human Services, and Education and Related Agencies Appropriation Act, 1985), NIMHD invites applications from eligible institutions to establish a national coordinating center (CC) for the Research Centers in Minority Institutions (RCMIs) initiative. The RCMI CC will coordinate activities across funded RCMI U54 Centers, prospectively evaluate the overall RCMI program, and serve as a national resource to help these centers achieve their primary goals. The RCMI CC will be responsive to requests generated by RCMI site key personnel, NIMHD, NIH, the scientific community, and the general public.

The purpose of this Notice of Funding Opportunity (NOFO) is to support the next 5-year award period of the Clinician-Scientist Transdisciplinary Aging Research Coordinating Center (Clin-STAR CC), whose mission is to serve as a national resource for clinician-investigators across specialties and disciplines who are focusing their careers on aging research. This NOFO intends to build upon NIA's substantial investments to foster the development of clinician-scientists across specialties and disciplines. The specific goals of this initiative are to convey scientific and research knowledge on aging research; foster networking and collaboration between clinician-scientist leaders in aging research and clinician-investigators across specialties and disciplines who wish to focus on aging research; provide mentoring and career development support for emerging clinician-scientists committed to pursuing aging research in their clinical specialty or discipline; and advance interdisciplinary research projects in aging. Ultimately, the Clin-STAR CC is intended to provide a multi-faceted national research platform leading to improved patient-centered care for older adults across specialties and disciplines.

The Delta States Rural Development Network Program supports support the planning, development, and implementation of integrated health care networks that collaborate in order to (i) achieve efficiencies; (ii) expand access to, coordinate, and improve the quality of basic health care services and associated health outcomes in rural areas within the eight rural Mississippi Delta Region states (Alabama, Arkansas, Illinois, Kentucky, Louisiana, Mississippi, Missouri, and Tennessee); and (iii) strengthen the rural health care system as a whole.

Grant for health professions schools to offer scholarships to students from disadvantaged backgrounds.

Modification 000003: The purpose of this modification is to revise NOFO Part 1. Section I.A.1 is revised to correct the Topic Area 1b cost share to 20% and Section IV.C.2 is revised to delete the Environmental Considerations Summary and Environmental Impact Volume from the Summary of Application Requirements table. This Notice of Funding Opportunity (NOFO) will seek proposals for specific research and development (R&D) projects to improve recovery efficiency from unconventional oil and natural gas reservoirs and to advance technologies for the treatment of flowback and produced water from oil and natural gas production operations. Despite increasing energy for demand, recovery efficiency for oil and natural gas from unconventional reservoirs can average less than 10 percent. This NOFO will enable rapid field deployment of a variety of novel technologies and processes related to improving primary and enhanced recovery with the goal of significantly improving resource recovery and accelerating industry uptake. This NOFO will also support the field testing and validation of water treatment technologies of produced water from oil and natural gas production operations to avoid deep well injection and potential issues with induced seismicity and interaction with underground sources of drinking water.

Expected Outcome: Proposals submitted to this call are expected to address several of the following elements: • Scaling of wafer-level photonic processes for key materials (e.g. SiN, InP, GaAs),including process integration, yield optimisation, and manufacturability at highvolumes. • Development of packaging and test solutions that are scalable, automated, andcompatible with co-packaged optics and advanced photonic-electronic integration. • Integration of heterogeneous materials and components, such as on-chip lasers,modulators, and detectors, using advanced packaging and assembly approaches. • Design-process-equipment co-optimisation, enabling repeatable, cost-effectiveproduction of complex photonic circuits and systems, including use of PDKs andvalidated building blocks. • Demonstration of system-level functionality through application-relevant use casesin strategic sectors (e.g. AI, sensing, telecommunication, mobility, health, defence),with quantified performance metrics and clear market relevance.