AMRA is an international digital health company and the first in the world to transform images from a rapid, 6-minute whole body MRI scan into precise, 3D-volumetric fat and muscle measurements.
We are confronting global health challenges by enhancing the evidence base needed to predict and prevent disease.
"AMRA-derived body composition data enables us at Human Longevity Inc to integrate quantitative imaging results with genomic and clinical biomarkers to give our clients and their physicians a comprehensive evaluation of their risk for diabetes, cardiovascular disease and metabolic syndrome."
David S. Karow, Human Longevity, Inc.
"By employing AMRA’s automated analysis, we are now able to efficiently provide more actionable data to our pharmaceutical partners."
Scott Satin, BioTelemetry
"Working with AMRA ensures high-quality, accurate data acquisition in our clinical studies that will be used to transform patient care for the future."
Ian Neeland, UT Southwestern Medical Centre
"I am very impressed with the body composition analysis that AMRA offers. The system works well and we get valuable data in a fast way. I am very pleased with the extra opportunities this will provide us to further improve our scientific research. The people are great to work with and there is fast, good service"
Cas Fuchs, Maastricht University
"The partnership with AMRA makes it possible to get scan results produced at Scannexus and Maastricht UMC+ to researchers much faster. Researchers now have one point of contact for support with their research."
Albert Scherpbier, Scannexus
Global healthcare systems are facing unprecedented challenges associated with a rapid rise in obesity, metabolic-related disease, and an aging population. AMRA is confronting these challenges by supporting medical leaders with the knowledge and evidence-base needed to predict and prevent diseases.
Sweden, September 18, 2018: AMRA, the international leader in body composition analysis, announced today three new..
18 September 2018
New study in Obesity reveals metabolic phenotypes described by skewed body fat distributions Linköping, Sweden..
22 May 2018
