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.

African Centers of Excellence in Bioinformatics

The African Centers of Excellence in Bioinformatics works to establish high-performance computing infrastructure and advanced training in biomedical data analysis to researchers at African research institutes.

Rapid identification of individuals with viable adult female worms of Onchocerca volvulus: a means to the end

To identify host- and parasite-specific biomarker(s) present in human subjects with viable adult females of Onchocerca volvulus (Ov) and to develop and configure rapid point of care methods to detect (or sense) these biomarkers.

Identification of high-quality HITs for tuberculosis (HIT-TB)

To produce high-quality chemical hit series with defined, tractable targets as drug leads for tuberculosis.

Accelerating Medicines Partnership: Rheumatoid Arthritis, Systemic Lupus Erythematosus & Related Autoimmune Disorders

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.

Centralized Envelope Comparative Immunogenicity Study

The Centralized Envelope Comparative Immunogenicity Study is an HIV/AIDS vaccine development project that seeks to answer a central question that has blocked the development of a successful HIV vaccine: how can we design vaccine immunogens that address the broad genetic diversity of HIV?

Support of Ebola Research by NIAID

In response to the critical Ebola Virus Disease (EVD) outbreak in 2014, the FNIH has established a fund that supports the Division of Clinical Research of the National Institute of Allergy and Infectious Diseases (NIAID) in its efforts to prevent, treat and research the EVD in West Africa.

Biomarkers Consortium - Workshop: Defining an Evidentiary Criteria Framework for Surrogate Endpoint Qualification

The FNIH Biomarkers Consortium and FDA hosted a workshop to provide a Framework for Defining the Evidentiary Criteria for Surrogate Endpoint Qualification on July 30-31, 2018. The workshop aimed to create alignment of the biomedical community and regulators on the levels of evidence required to qualify biomarkers for use in drug development, with an emphasis on surrogate endpoints and specific clinical outcome measures.

Biomarkers Consortium - Identification and Validation of ctDNA Quality Control Materials

The ctDNA Quality Control Materials project seeks to develop a set of nationally recognized standards to enable the production of suitable quality control materials that can be submitted for FDA clearance for widespread use in ctDNA testing. Once successfully developed and disseminated, these quality control materials will provide confidence in interpretation of ctDNA biomarker assay results, paving the way for more effective clinical research, therapeutic decision-making, regulatory evaluation, and reimbursement applications.

Biomarkers Consortium - Chemotherapeutic Impact on the Immune MicroEnvironment

Project results will help determine the effect of chemotherapy on malignant and non-malignant cells including immune cells. New biomarkers characterizing the TME before and after chemotherapy may be discovered that reflect cell composition, cell states, and cell-cell interaction.

Biomarkers Consortium - Inflammatory Markers for Early Detection and Subtyping of Neurodegenerative and Mood Disorders

This project will aim to standardize and validate measurement methods for inflammatory markers associated with Alzheimer’s Disease and/or Major Depressive Disorder to ultimately identify a unique biosignature of disease. The identified biosignature would greatly assist with medication development, patient diagnosing, and patient selection for clinical trials.