Public Health Crisis Response Cooperative Agreement

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.

The focus of this notice of funding opportunity (NOFO) is to produce insights into disease detection and prevention strategies, burden, severity, diagnostics, treatment, and outcomes of infectious diseases in international travelers. Timely surveillance and sentinel detection are essential for collecting actionable data. The research should:Address public health questions that improve the speed of outbreak detection.Help develop guidelines and recommendations to improve patient care.Enhance understanding of the natural history of disease.Optimize genomic surveillance as well as diagnostic and treatment strategies.Advance the global health security of the United States.This NOFO will have two components:Component A – Clinic-based sentinel network.Component B – Sentinel detection in international transportation hubs.You may apply for Component A, B, or both. If your application for both Component A and B is ranked top, Component B will be awarded.

This Notice of Funding Opportunity (NOFO) invites a single cooperative agreement application for the Resource Center for the Cardiovascular Repository for Type 1 Diabetes (CaRe-T1D). The purpose of CaRe-T1D is to support innovative, discovery and mechanistic research through the study of human cardiovascular (CV) tissue. This research seeks to better understand cardiovascular disease (CVD) in type 1 diabetes, highlight differences compared to type 2 diabetes, and ultimately guide the development of therapies to treat this major cause of morbidity and mortality for individuals with type 1 diabetes. To achieve these goals, the Resource Center will expand the CaRe-T1D biorepository of human CV tissue, further develop the data commons for data sharing and for artificial intelligence (AI) tools, coordinate the research activities of the investigative teams in the CaRe-T1D consortium, and make CaRe-T1D resources accessible to the broader research community. This NOFO is associated with the Special Diabetes Program (https://www.niddk.nih.gov/about-niddk/research-areas/diabetes/type-1-diabetes-special-statutory-funding-program/about-special-diabetes-program) which funds research on the prevention, treatment, and cure of type 1 diabetes and its complications, including unique, innovative, and collaborative research consortia and clinical trials networks.This is a Notice of Funding Opportunity (NOFO) for a Single Source that will invite application(s) from eligible organization(s) to apply. Please see Section III. Eligibility for additional information. In accordance with NIH standard peer-review processes, the application(s) will be peer-reviewed, and only meritorious application(s) will be considered for funding.

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.

Through this Notice of Funding Opportunity (NOFO), the National Cancer Institute (NCI) solicits applications for research on developing a comprehensive and cohesive understanding of cancer metastasis. Towards this goal, the NCI will support U54 Specialized Centers that together will continue to serve as the hub of the Metastasis Research Network (MetNet). Each MetNet Center should propose an overarching scientific theme that will be pursued through two or three scientific inter- and multidisciplinary basic research projects. The projects should use integrative system level approaches to elucidate and integrate a mechanistic understanding of the non-linear, dynamic, and emergent processes in metastasis. Overarching themes should encompass the interplay between at least two central elements in the metastatic process such as early dissemination, cellular, soluble and/or physical microenvironment crosstalk, dormancy, or mechanisms of responses by metastatic cells to therapies. Studies on all types of cancer are welcome, including rare and pediatric metastatic cancers.Research proposed by MetNet Centers is expected to advance our understanding towards a more comprehensive appreciation of metastasis as a whole body, systems-level problem.

The Genomics Research to Elucidate the Genetics of Rare Diseases:innovation (GREGoRi) initiative seeks to accelerate a paradigm shift in rare disease diagnosis by reimagining the tools, molecular technologies and analytical approaches used to identify the causal gene(s) and/or variant(s) underlying rare genetic disorders. The purpose of this Notice of Funding Opportunity is to establish the GREGoRi Technology Integration Center, which will enable the development of standards and best practices for applying new and emerging molecular methods in rare disease diagnosis. A major deliverable of the Center will be a multidimensional dataset that can be used for the development and benchmarking of novel tools and strategies that facilitate rare disease diagnosis.

Expected Impact: The action under this topic is expected to achieve the following impacts: Accelerate EU access to more cost-effective interventions in an increasingly ageing population by identifying personalised treatment approaches for elderly-onset immune diseases. Decrease disease risk later in life by defining specific prevention strategies based on ageing biomarkers and risk factors. Halt age-associated disease exacerbation by the identification of predictive and digital biomarkers that can stratify patients for early intervention. Improve quality of life for healthy individuals and patients by preventing further health decline, avoiding escalating care costs, and properly stratifying individuals earlier in the diagnostic pathway. Accelerate adoption of innovative diagnostic, preventative, and therapeutic strategies, strengthening the EU’s position as a healthcare innovator. Evaluate digital biomarker as potential regulatory endpoints in the ultimate goal to develop medicines for ‘healthy ageing’. Integrate fragmented research efforts by bringing together health industry sectors and stakeholders to develop clinical and multi-omics data integration capabilities. Enable new…

Expected Impact: The action under this topic is expected to achieve the following impacts: Faster and more informed decision-making through the use of an AI-driven NAM (AI Foundation Toxicology Model) and increased efficiency through rapid processing of vast amounts of data [1] . Increased consistency and standardisation in a NAM-based approach, specifically an AI model, used by industry in the efficient development, testing and production of safe and effective innovative health technologies, improving industrial competitiveness. Regulatory adoption of a NAM-enabled second species waiver model (AI Foundation Toxicology Model) and weight-of-evidence framework, in line with recommendations and more consistent global decision-making on waiving second species testing. Reduction in animal use, accelerated timelines and lower costs, enhancing the competitiveness of the European health industry through economical and ethical benefits. Improved public health as patients will benefit from safe and effective medicines developed faster using validated NAMs. The action is expected to contribute to the EU Directive (2010/63/EU) [2] on the protection of animals used for scientific purposes and…

Expected Impact: The action under this topic is expected to achieve the following impacts and contribute to the following EU policies/initiatives: deliver innovative, early technology solutions that contribute to addressing strategic unmet public health needs across multiple therapy areas to improve prevention, early diagnosis, and treatment; leverage the unique network and scale of IHI JU members to create a pipeline to support innovative startups in the health industry, fully integrated into European initiatives in support of start-ups and entrepreneurship; drive early cross-sector health R&D and innovation to strengthen the European healthcare industry’s global competitiveness, contributing to the EU Industrial Strategy and Pharmaceutical Strategy objectives; create a sustainable network of European healthcare incubators to guide and support highly talented and innovative early-stage companies; harness digital health and data-sharing technologies (e.g., AI and big data) to enable interoperable health solutions, contributing to the European Health Data Space (EHDS) and improved evidence based care;- the action should generate a portfolio of early‑stage companies that have…

Expected Outcome: This action will establish a strategic European initiative to develop scalable, modular, and interoperable photonic quantum computing platforms. Proposals for this topic are expected to address and provide credible solutions to at least two major technical roadblocks currently limiting the advancement of photonic quantum computing such as: The lack of deterministic, high-efficiency photonic entanglement and loss-tolerant architectures suitable for fault-tolerant scaling The absence of a standardised, integrated control stack combining photonic hardware, firmware, and system software with reliable benchmarking across platforms Project results are expected to contribute to the following expected outcomes: By 2028, demonstration of a photonic NISQ processor with ≥100 photonic qubits, integrating deterministic single-photon sources, low-loss waveguides, on-chip detectors, and a firmware stack (scheduler, controller, compiler), validated via hardware-agnostic benchmarks and hybrid photonic-HPC applications demonstrating classical-quantum crossover By 2030, delivery of a full-stack, high-connectivity photonic quantum computer, with modular scalability, integrated…