Skip to main content

$230M for Big Disease

The National Institutes of Health is partnering with 10 drug companies to find new treatments for Alzheimer’s disease, diabetes, rheumatoid arthritis, and lupus.

Written byJef Akst
| 2 min read

Register for free to listen to this article
Listen with Speechify
0:00
2:00

FLICKR, E-MAGINE ARTThe National Institutes of Health (NIH) this week (February 4) announced the Accelerating Medicines Partnership (AMP), a five-year, $230 million program through which the agency will team up with 10 drug companies to study Alzheimer’s disease, diabetes, rheumatoid arthritis, and lupus. The NIH will provide approximately half of that sum, while the rest of the funds will come from the program’s industry partners, including Merck, GlaxoSmithKline, Eli Lilly, and Sanofi.

“This is a job too big for any single group,” NIH Director Francis Collins said at a press conference yesterday.

Currently, drug candidates for these diseases fail at an astounding rate of 95 percent, and those that succeed take a decade and more than $1 billion to bring to market, ScienceInsider reported. AMP, which has been more than two years in the making and will be overseen by the Foundation for the NIH, aims to cut down these figures by combining big data approaches with molecular studies on the mechanisms underlying these diseases.

“We are still navigating in a landscape where a lot of this richness in information is not, in a consistent manner, brought together,” Pfizer President of Worldwide Research & Development Mikael Dolsten ...

Interested in reading more?

Become a Member of

The Scientist Logo
Receive full access to more than 35 years of archives, as well as TS Digest, digital editions of The Scientist, feature stories, and much more!
Already a member?
Add The Scientist as a preferred source on Google

Add The Scientist as a preferred Google source to see more of our trusted coverage.

Meet the Author

  • Jef (an unusual nickname for Jennifer) got her master’s degree from Indiana University in April 2009 studying the mating behavior of seahorses. After four years of diving off the Gulf Coast of Tampa and performing behavioral experiments at the Tennessee Aquarium in Chattanooga, she left research to pursue a career in science writing. As The Scientist's managing editor, Jef edited features and oversaw the production of the TS Digest and quarterly print magazine. In 2022, her feature on uterus transplantation earned first place in the trade category of the Awards for Excellence in Health Care Journalism. She is a member of the National Association of Science Writers.

    View Full Profile

Related Topics

Related articles background image
The Scientist Digest cover September 2026
September 2026

Multiplex Microscopy Becomes Easier with Encoded Antibodies

A new system that enables researchers to uniquely tag monoclonal antibodies for use in microscopy could help simplify complex imaging studies.

View this Issue
Rethinking ALS Biomarkers: From Discovery to Clinical Impact

Rethinking ALS Biomarkers: From Discovery to Clinical Impact

Alamar Biosciences logo
Best Practices for qPCR Assay Design and Optimization

Best Practices for qPCR Assay Design and Optimization

Bio-Rad
Beyond the Basics: Strategies for Single-Cell and Spatial Transcriptomics Analysis

Beyond the Basics: Strategies for Single-Cell and Spatial Transcriptomics Analysis

bioxcell
Scientist reviewing cellular and molecular data on a computer in a laboratory.

Building Translation-Ready Biomarkers with Connected Workflows

Danaher Logo

Products

Closeup image of a multi channel pipette dispensing pink liquid into a 96-well plate.

The ASSIST PLUS pipetting robot for affordable workflow automation

Integra Logo
Single cells in suspension

Rapidly isolate primary cells and make uniform single-cell suspensions with Corning® Cell Strainers

Corning logo
Abstract image representing cell membranes linked together.

CellBrite® Steady Membrane Stain: Cell surface staining built for real-time imaging

Biotium
sino biological logo

Monod Bio Licenses AI-designed Protein Technologies to SignalChem Biotech for Custom Discovery Assays