National Institute of Health

Notice of Special Interest (NOSI): Administrative Supplements to Support the Development of Digital Twins in Radiation Oncology (DTRO)

The Division of Cancer Treatment and Diagnosis (DCTD) and the Center for Biomedical Informatics and Information Technology (CBIIT) at the National Cancer Institute (NCI) announce the Digital Twins Radiation Oncology (DTRO) administrative supplement opportunity that seeks to support collaborative, multidisciplinary research in radiation oncology in the development of digital twins. For the purposes of this notice, a digital twin as defined by the 

BRAIN Initiative: Brain-Behavior Quantification and Synchronization Transformative and Integrative Models of Behavior at the Organismal Level (U01 Clinical Trials Not Allowed)

This Brain-Behavior Quantification and Synchronization notice of funding opportunity (NOFO) seeks applications proposing research aiming to 1) develop, validate, and apply cutting-edge tools and methods for minimally invasive, multi-dimensional, high-resolution measurement of behavior at the organismal level, with synchronous capture of changes in the organisms social or physical environment; and 2) develop computational methods that allow for integration of multidimensional behavioral and environmental data representing multiple timescales into a conceptual and/or computational model of be

BRAIN Initiative: Brain-Behavior Quantification and Synchronization Transformative and Integrative Models of Behavior at the Organismal Level (U01 Clinical Trial Optional)

This Brain-Behavior Quantification and Synchronization notice of funding opportunity (NOFO) seeks applications that bring together transdisciplinary teams and aim to 1) develop, validate, and apply cutting-edge tools and methods for minimally invasive, multi-dimensional, high-resolution objective measurement of behavior at the organismal level, with synchronous capture of dynamic environmental data; 2) develop advanced analytic approaches to integrate multidimensional behavioral, neural and environmental data; and 3) develop and test new theoretical and computational models aiming to advanc

Center of Excellence for Systems Modeling of Infection and Immunity across Biological Scales (U54 Clinical Trial Not Allowed)

The purpose of this notice of funding opportunity (NOFO) is to support the establishment of one (1) Center of Excellence (CoE) to coordinate the research community of infectious and immune-mediated disease (IID) computational modelers and advance IID modeling research across biological scales. The CoE must include three (3) Coordinating Cores and two (2) Research Projects to advance and integrate bridge models across scales in the context of IID, including HIV/AIDS.

NIH NOITP: Understanding the Intersection of Social Inequities to Optimize Health and Reduce Health Disparities: The Axes Initiative

Notice of Intent to Publish a Funding Opportunity Announcement for Understanding the Intersection of Social Inequities to Optimize Health and Reduce Health Disparities: The Axes Initiative (R01 Clinical Trial Optional)

 

Purpose

Multi-Scale Models Bridging Levels of Analysis in Aging and Alzheimer's Disease (AD) and AD-Related Dementias (ADRD) (R01 Clinical Trial Not Allowed)

This notice of funding opportunity (NOFO) invites applications proposing to establish multi-scale computational models recapitulating dynamic changes associated with aging and Alzheimer’s disease (AD) and AD-related dementias (ADRD). This broad scope encompasses a variety of computational approaches—such as mathematical and computational modeling, image analysis, artificial intelligence, and machine learning—to better understand aging processes and AD/ADRD across molecules, cells and networks, and cognition and behavior. 

BRAIN Initiative: Brain-Behavior Quantification and Synchronization – Transformative and Integrative Models of Behavior at the Organismal Level (R34 Clinical Trial Optional)

This notice of funding opportunity (NOFO) seeks applications proposing a set of planning activities that will lay the groundwork for a scientific project aimed at integrating complementary theories and methods to 1) develop, validate, and apply cutting-edge tools and methods for minimally invasive, multi-dimensional, high-resolution measurement of behavior at the level of the organism, with synchronous capture of changes in the organism’s social or physical environment; and 2) develop data science and computational methods that allow for integration of multidimensional behavioral and enviro