To tackle the human health challenges that face the world today, the FNIH develops collaborations with top experts from government, industry, academia and the not-for-profit sector and provides a neutral environment where we can work productively toward a common goal.
The National Institute of Nursing Research hosted a two-day Summit to gather a variety of stakeholder perspectives on the spectrum of caregiving issues and research for conditions and illnesses that may occur across the lifespan.
Rheumatoid Arthritis (RA), Systemic Lupus Erythematosus & Related Autoimmune Disorders is an initiative of the Accelerating Medicines Partnership (AMP), which is a multi-sector, pre-competitive partnership among government, industry, and nonprofit organizations, the goal of which is to harness collective capabilities, scale and resources toward improving current efforts to develop new therapies for complex, heterogeneous diseases.
The Biomarkers Consortium’s TARGET Biomarker Study seeks to utilize validated proteomic biomarkers of rheumatoid arthritis (RA) disease activity and inflammation to categorize baseline and disease-modifying antirheumatic drug (DMARD)-associated changes in vascular inflammation in RA patients.
The Sarcopenia 1 project launched in 2010 and aimed to establish the first evidence-based definition of sarcopenia (muscle weakness), which is still not recognized as a medical condition.
The goal of this project was to conduct a 75-patient study at a total of 15 centers to determine the reproducibility of the non-invasive technique of carotid magnetic resonance imaging (CMRI). Results established a standardized carotid MRI protocol and determined, for the first time, that kinetic parameters of carotid atherosclerotic plaque are reproducible and can be used for multi-center studies.
The Biomarkers Consortium’s In Silico Modeling of Biomarkers of Atherosclerosis: Estimating Risk Reduction and Residual Risk From Statin Therapy’s goal was to identify a time-dependent, dynamically-responsive panel of extant markers that change in response to Phase II intervention and predict Phase III clinical cardiovascular outcomes to build the model. This model would support cardiovascular drug development decision-making and assessment of atherosclerotic risk in the development of drugs for other indications.