Group items matching

in title, tags, annotations or url

The purpose of this Funding Opportunity Announcement (FOA) is to support rigorous clinical validation of a candidate biomarker using retrospective and/or prospective methods in a manner that is consistent with the purpose of the biomarker. This FOA assumes that: 1) a candidate biomarker has already been identified, 2) an analytical method has been developed and validated that is consistent with the purpose of the biomarker and 3) a working hypothesis regarding context of use is in place. The goal of this FOA is to facilitate the advancement of robust and reliable biomarkers of diseases that fall within the mission of NINDS to application in clinical trials and practice (Phase II clinical trials and beyond).

The goal of the interagency Smart and Connected Health (SCH): Connecting Data, People and Systems program is to accelerate the development and integration of innovative computer and information science and engineering approaches to support the transformation of health and medicine. Approaches that partner technology-based solutions with biomedical and biobehavioral research are supported by multiple agencies of the federal government including the National Science Foundation (NSF) and the National Institutes of Health (NIH). The purpose of this program is to develop next-generation multidisciplinary science that encourages existing and new research communities to focus on breakthrough ideas in a variety of areas of value to health, such as networking, pervasive computing, advanced analytics, sensor integration, privacy and security, modeling of socio-behavioral and cognitive processes and system and process modeling. Effective solutions must satisfy a multitude of constraints arising from clinical/medical needs, barriers to change, heterogeneity of data, semantic mismatch and limitations of current cyberphysical systems and an aging population. Such solutions demand multidisciplinary teams ready to address issues ranging from fundamental science and engineering to medical and public health practice.

This Funding Opportunity Announcement (FOA) invites Research Project Grant (R01) applications that propose to study the ethical, legal and social implications (ELSI) of human genome research. Applications may propose studies using either single or mixed methods. Proposed approaches may include but are not limited to data-generating qualitative and quantitative approaches, legal, economic and normative analyses, and other types of analytical and conceptual research methodologies, such as those involving the direct engagement of stakeholders. Also Listed under (R21) & (R03)

The NIH Research Education Program (R25) supports research education activities in the mission areas of the NIH. The over-arching goal of this NINDS R25 program is to support educational activities that complement and/or enhance the training of a workforce to meet the nation's biomedical, behavioral and clinical research needs. To accomplish the stated over-arching goal, this FOA will support creative educational activities with a primary focus on Courses for Skills Development and Research Experiences. The purpose of this funding opportunity announcement is to encourage applications for the initiation or continuation of nationally-available neuroscience research education programs that will significantly advance the mission of NINDS. The primary focus of programs submitted under this FOA should be on intensive hands-on experience that will provide research experience, an in depth understanding of techniques and analytic approaches and expertise that is only possible with a nationally-organized program. Within the context of gaining expertise primarily through hands-on experience, programs may include immersive coursework and expert discussion when appropriate. Programs appropriate for this FOA must include participants from a nationally recruited cohort, selected through an application process by a well-balanced leadership committee.

The Biosensing program is part of the Engineering Biology and Health cluster, which also includes 1) the Biophotonics program; 2) the Cellular and Biochemical Engineering program; 3) the Disability and Rehabilitation Engineering program; and 4) the Engineering of Biomedical Systems program. The Biosensing program supports fundamental engineering research on devices and methods for measurement and quantification of biological analytes. Examples of biosensors include, but are not limited to, electrochemical/electrical biosensors, optical biosensors, plasmonic biosensors, and paper-based and nanopore-based biosensors. In addition to advancing biosensor technology development, proposals that address critical needs in biomedical research, public health, food safety, agriculture, forensic, environmental protection, and homeland security are highly encouraged. Proposals that incorporate emerging nanotechnology methods are especially encouraged.

The purpose of the BRAIN Initiative Fellows (F32) program is to enhance the research training of promising postdoctorates, early in their postdoctoral training period, who have the potential to become productive investigators in research areas that will advance the goals of the BRAIN Initiative. Applications are encouraged in any research area that is aligned with the BRAIN Initiative, including neuroethics. Applicants are expected to propose research training in an area that clearly complements their predoctoral research. Formal training in analytical tools appropriate for the proposed research is expected to be an integral component of the research training plan. In order to maximize the training potential of the F32 award, this program encourages applications from individuals who have not yet completed their terminal doctoral degree and who expect to do so within 12 months of the application due date. On the application due date, candidates may not have completed more than 12 months of postdoctoral training.

The purpose of the BRAIN Initiative Fellows (F32) program is to enhance the research training of promising postdoctorates, early in their postdoctoral training period, who have the potential to become productive investigators in research areas that will advance the goals of the BRAIN Initiative. Applications are encouraged in any research area that is aligned with the BRAIN Initiative, including neuroethics. Applicants are expected to propose research training in an area that clearly complements their predoctoral research. Formal training in analytical tools appropriate for the proposed research is expected to be an integral component of the research training plan. In order to maximize the training potential of the F32 award, this program encourages applications from individuals who have not yet completed their terminal doctoral degree and who expect to do so within 12 months of the application due date. On the application due date, candidates may not have completed more than 12 months of postdoctoral training.

The Nano-Biosensing program is part of the Engineering Biology and Health cluster, which includes also 1) Cellular and Biochemical Engineering; 2) Engineering of Biomedical Systems; 3) Biophotonics; and 4) Disability and Rehabilitation Engineering. The Nano-Biosensing program supports fundamental engineering research on devices and methods for measurement and quantification of biological analytes. Proposals that incorporate emerging nanotechnology methods are especially encouraged. Areas of interest include: Multi-purpose sensor platforms that exceed the performance of current state-of-the-art devices. Novel transduction principles, mechanisms and sensor designs suitable for measurement in practical matrix and sample-preparation-free approaches. These include error-free detection of pathogens and toxins in food matrices, waterborne pathogens, parasites, toxins, biomarkers in body fluids, and others that improve human condition. Nano-biosensors that enable measurement of biomolecular interactions in their native states, transmembrane transport, intracellular transport and reactions, and other biological phenomena. Studies that examine intracellular measurements must include discussion on the significance of the measurement.

The purpose of this Funding Opportunity Announcement [FOA] submitted through the Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative is to stimulate the development and validation of novel tools and analytical methods to target, identify and characterize non-neuronal cells in the brain. This FOA complements previous and ongoing cell-census and tool development efforts initiated under BRAIN, RFA-MH-14-215 and RFA-MH-14-216, that have focused almost exclusively on neuronal cells. The cutting-edge tools and methods developed under this opportunity should focus specifically on providing improved points of entry into non-neuronal cell-types (glial and vascular) to enable their inventory and characterization within the CNS and help define how these cells interact among each other and with neuronal cells to impact functional circuitries. Plans for validating the utility of the tool/technology/method and demonstrating its advantage over currently available approaches will be an essential feature of a successful application. Tools that can be used in several species or model organisms rather than in a single species are especially desirable.

The purpose of this FOA is to promote the integration of experimental, analytic, and theoretical capabilities for large-scale analysis of neural systems and circuits. This FOA seeks applications for exploratory research studies that use new and emerging methods for large scale recording and manipulation of neural circuits across multiple brain regions. Applications should propose to elucidate the contributions of dynamic circuit activity to a specific behavioral or neural system. Applications should seek to understand circuits of the central nervous system by systematically controlling stimuli and/or behavior while actively recording and/or manipulating relevant dynamic patterns of neural activity and by measuring the resulting behaviors and/or perceptions. Studies should incorporate rich information on cell-types, on circuit functionality and connectivity, and should be performed in conjunction with sophisticated analysis of complex, ethologically relevant behaviors. Applications should propose teams of investigators that seek to cross boundaries of interdisciplinary collaboration by bridging fields and linking theory and data analysis to experimental design. Exploratory studies supported by this FOA are intended to develop experimental capabilities and quantitative, theoretical frameworks in preparation for a future competition for larger-scale, multi-component, Team-Research Circuit Programs (U19) awards.

NHGRI invites applications for research developing comparative approaches that can be used to understand genome structure and function and the relationship between genomic features and phenotypes. This program supports studies that enable the use of a diverse array of species to advance our ability to understand basic biological processes related to human health and disease, as well as studies that develop novel analytical tools and resources for the comparative genomics research community.

The purpose of this Funding Opportunity Announcement (FOA) is to accelerate the adoption and validation of molecular/cellular/imaging markers and assays for cancer detection, diagnosis, prognosis, monitoring, and prediction of response or resistance to treatment, as well as markers for cancer prevention and control. This FOA also includes the validation of pharmacodynamic markers and markers of toxicity. Applicants to this FOA must have an assay(s) whose performance has been analytically validated in specimens similar to those for the intended clinical use of the assay(s) and marker(s). As chemotherapies and/or radiation therapies are increasingly combined with immunotherapies to enhance durability of anti-cancer responses, multiple assays for measuring multiple markers, including immune markers, can be developed and validated simultaneously.

The ReVector program aims to develop methods to use human skin microbiomes to modulate chemical signatures in order to avoid mosquito attraction and feeding and reduce the threat of mosquito-borne disease to Warfighters. Human skin associated microbes interact with metabolites from the body and influence the personal chemical signature of each individual, making some individuals more attractive to mosquitoes. This program seeks to develop advanced data analytics and microbiome modulation tools for engineering skin microbiomes and provide new options for the readiness and resiliency of military personnel.

Pandemics have far reaching consequences that range from deaths to shutting down the economy as we have witnessed during the recent COVID19 crisis. Hence there is a need to be better prepared for such pandemics. We need to solve problems ranging from predictive analytics innovative devices for saving lives to technology for devising voting machines. The social and economic impact for the above areas is huge and some of the work can be transformative and save lives. Areas of interest to us include, but are not limited to: - Mathematical models for spread and the impact of pandemics. - Scalable simulation techniques for pandemics (e.g. with multi agents). - Biomedical/Nano sensor devices for detecting symptoms and agents. - Algorithms for rapid exploration of the drug screening and discovery workflows (e.g. use reinforcement learning) - Advanced computational biology techniques for sequencing, detecting viral evolution (e.g. in COVID-19). - Algorithms and systems for contact tracing (with privacy preserving). - Algorithms and recommendation systems for curating media and news. - Collaboration techniques for more effective health, and efficiency during pandemics. Improved identity and security techniques. - Distributed Ledgers, their applications and their governance for and during pandemics. - Pandemic data science - understanding the patterns and the impact of a pandemic like COVID-10. Creation of curated data sets. We are interested in both the science and technology aspects of these problem sets, and, particularly, in the intersections between them.

Through this Funding Opportunity Announcement (FOA), the National Cancer Institute (NCI) as a part of its Beau Biden Cancer Moonshot Initiative invites submission of applications requesting support for projects that will accelerate cancer research. Specifically, this FOA targets the following area designated as a scientific priority by the Blue Ribbon Panel (BRP) as Recommendation I: Generation of Human Tumor Atlases. The overarching goal of this FOA is to accelerate research efforts conducted and led by the Human Tumor Atlas Network (HTAN, humantumoratlas.org) via the implementation of three-dimensional (3D) imaging technologies that will allow for a comprehensive view of the dynamic multidimensional ecosystems that define tumors in humans. Each project will lead to the multiplexed 3D characterization of at least one cancer transition investigated by the HTAN (pre-malignant to malignant, primary to metastatic, therapy responsive to resistant). The data and analytical tools generated through this FOA will be made available for use by the research and clinical communities through the activities of the HTAN Data Coordinating Center.

 The methods proposed for validation must be used to identify and quantify chemical constituents (active or marker chemical compounds, adulterants, contaminants, or metabolites thereof) in experimental reagents, raw materials, and/or clinical specimens (for example urine or plasma samples). Methods must have been developed or utilized in fulfillment of the active parent grants specific aims. Candidate constituents for quantitative method validation studies may include (but are not limited to):phytochemicals; nutrients; and potentially deleterious substances such as pesticides and mycotoxins.

The overarching purpose of this Funding Opportunity Announcement (FOA) is to promote the validation of strong candidate biomarkers and endpoints for pain that can be used to facilitate the development of non-opioid pain therapeutics from discovery through Phase II clinical trials

This Funding Opportunity Announcement (FOA) encourages research projects that focus on innovative research in the isolation and characterization of extracellular vesicles (EVs) and their cargo for discovery of predictive biomarkers for risk assessment, detection, diagnosis and prognosis of early cancer. This FOA will promote rigor and reproducibility research in both the isolation of EVs as well as the computational analysis of the cargo carried in these vesicles.