NOTICE - NCCIH has joined the MSM U01 FOA!!

The National Center for Complementary and Integrative Health (NCCIH) is interested in supporting the development of innovative predictive models related to the mechanisms of complementary and integrative approaches, including natural products and mind and body interventions, in human subjects or appropriate model systems.  Randomized clinical trials to validate the predictive models in humans are not supported by this FOA and should seek other funding mechanisms supported by the NCCIH.   Examples of research topics include but are not limited to:

Big Data to Knowledge (BD2K) Development of Software Tools and Methods for Biomedical Big Data in Targeted Areas of High Need (U01)

Dear Colleagues,

The NIH Big Data to Knowledge (BD2K) initiative, https://datascience.nih.gov/bd2k) announces the release of an RFA for software and methods development in biomedical big data science: "Big Data to Knowledge (BD2K) Development of Software Tools and Methods for Biomedical Big Data in Targeted Areas of High Need (U01)"  (http://grants.nih.gov/grants/guide/rfa-files/RFA-CA-15-017.html).

*New* BRAIN RFA: Theories, Models and Methods for Analysis of Complex Data from the Brain

This FOA solicits new theories, computational models, and statistical methods to derive understanding of brain function from complex neuroscience data.  Approaches could include the creation of new theories, ideas, and conceptual frameworks to organize/unify data and infer general principles of brain function; new computational models to develop testable hypotheses and design/drive experiments; and new mathematical and statistical methods to support or refute a stated hypothesis about brain function, and/or assist in detecting features in complex brain data.  It is expected that t

Computational Models of Cerebrospinal Fluid and Vascular Flow Dynamics (Human Spaceflight)

Some crewmembers on long-duration missions to the International Space Station (ISS) have experienced ophthalmic anatomical changes and visual performance decrements with varying degrees. In these cases, data suggest that intracranial pressure is simultaneously increased. NASA medical operations and research personnel have hypothesized that the microgravity induced cephalad fluid shift may be partially responsible for the observed ophthalmic changes through biomechanical means.

An in vivo systems biology approach to understanding and treating tuberculosis

Speaker: Jennifer Linderman

Abstract:

Tuberculosis (TB), a disease caused by Mycobacterium tuberculosis, results in 1-2 million deaths/year. Disease control is hampered by our limited understanding of the relevant biology and by development of antibiotic resistance. There is a critical need for an in silico platform to provide a cost-effective means of understanding the immune response during M. tuberculosis infection and of predicting and optimizing new treatment strategies.

Responding to the Ebola Outbreak: Computational Epidemiology in the age of big data and high performance computing

Speaker: Madhav Marathe

Network Dynamics and Simulation Science Laboratory Virginia Bio-Informatics Institute Dept. of Computer Science Virginia Tech

Abstract:

The H1N1 pandemic of 2009 and the 2014-2015 Ebola outbreak in West Africa serve as a reminder of the social, economic and health burden of infectious diseases. Recent quantitative changes in high performance pervasive computing have created new opportunities to plan and respond to infectious disease outbreaks.