Programs

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.

Biomarkers Consortium - The Performance of Novel Cardiac Biomarkers in the General U.S. Population

The Biomarkers Consortium’s Novel Cardiac Biomarkers in the General US Population (the Cardiac Troponin Project) seeks to define the reference ranges and to generate the epidemiologic basis for the use of several significant novel cardiac and related biomarkers for cardiovascular risk stratification in the general U.S. population. The program will measure a panel of biomarkers in almost 30,000 individuals in a national study. The project will provide key reference data regarding novel biomarkers for cardiovascular risk stratification and inform U.S. clinical and laboratory guidelines.

Biomarkers Consortium - Treatments Against RA and Effect on FDG PET-CT (TARGET Biomarker Study)

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.

Biomarkers Consortium - The Autism Biomarkers Consortium for Clinical Trials (ABC-CT)

The Consortium will establish a technical and data infrastructure for reliably measuring social function, allowing the collaborating sites to work together as a single unit. The goal is to create a set of measures that can be used in clinical trials to determine which treatments are best for which patients and who will benefit from a particular treatment. The ultimate goal is to further develop and validate a set of measures that can be used as stratification biomarkers and/or sensitive and reliable objective measures of social impairment in autism spectrum disorders that could serve as indicative markers of long term clinical outcome.