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 - I-SPY TRIAL-2 (Investigation of Serial Studies to Predict Your Therapeutic Response with Imaging and MoLecular Analysis): An Adaptive Breast Cancer Trial Design in the Setting of Neoadjuvant Chemotherapy

Phase II trial of novel investigative breast cancer agents in the neoadjuvant setting that uses biomarkers and adaptive design to accelerate the clinical trial process.

Biomarkers Consortium - High Definition Single Cell Analysis of Blood and Tissue Biopsies in Patients with Colorectal Cancer Undergoing Hepatic Metastasectomy

The project seeks to show that a liquid biopsy can serve as a source of rare circulating cells (CTCs) to comprehensively represent the traditional solid biopsy. The project is designed in two stages to demonstrate the correlation between liquid and solid biopsies in an observational clinical study with metastatic colorectal cancer (mCRC) patients undergoing resection of liver metastases.

Biomarkers Consortium - Fluorodeoxyglucose-Positron Emission Tomography (FDG-PET) Lung and Lymphoma

Build the case for FDA incorporation of FDG-PET into outcome measures for lung cancer and lymphoma.

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.