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AMRA Medical

AMRA Medical

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  • Focus Areas
  • Our Services

      Research Services

      Unlock breakthroughs and power your clinical trials by implementing our research biomarkers to maximize your trial’s success and de-risk the drug development lifecycle. Read more

      Imaging Biomarkers
      MRI-based fat and muscle analysis measures for drug development teams.
      Insights Biomarkers
      Advanced analysis—descriptive, functionally-relevant fat and muscle assessment methodologies.

      Clinical Services

      Our clinical biomarkers provide your practice with easy-to-understand insights that are personalized and informative for each and every patient. Read more

      AMRA® BCP Scan
      Understand your patient’s fat and muscle composition using MRI-based measurements within health and wellness.
      AMRA® MAsS Scan
      Learn more about your patient’s muscle quality using our Muscle Assessment Score

      Services Based on Knowledge

      Read publications, insights articles and view insightful webinars.

      Insights Article

      Revealing the true impact of drug therapies for metabolic diseases through weight-invariant fat distribution assessment using AMRA’s Z-Scores

      Publication

      Evaluating the prevalence and severity of metabolic dysfunction-associated steatotic liver disease in patients with type 2 diabetes mellitus in primary care

      Explore more at our Knowledge Hub →

  • Science

      Science

      AMRA is on the forefront of precision medicine—providing body composition and medical insights driven by our digital health platform, team of experts, and ability to develop MRI biomarkers suitable for both clinical practice and research.

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      What We Do
      We analyze MRI to classify and quantify muscle and fat with unprecedented accuracy and precision.
      How We Do It
      Our process of imaging technology and a massive reference database for fat and muscle composition.
      Why It Matters
      Our data guide decision-making—impacting your clinical trials and patient’s lives.
      Technology
      We’ve developed a patented, automated method for classifying and quantifying fat and muscle groups.
  • Knowledge Hub
  • About

      Company

      Our Story
      Read the story of AMRA—how it all started in academic research and grew into a science-driven partner helping researchers see what truly matters.
      Our Team
      At AMRA Medical, our work is powered by passionate people committed to advancing science and clinical outcomes. If you’re driven by curiosity, innovation, and impact, we’d love to meet you.
      Careers
      With careers at AMRA, you’ll have access to tools, learning opportunities, and guidance that help you progress and shape your career step by step.
      News
      Browse the latest updates from AMRA, including company news and press releases, recent research highlights, and stories showcasing ground-breaking health informatics innovation.
      Events
      Explore our event schedule below to see where we’re engaging with researchers, clinicians, industry partners, and other key stakeholders in order to drive progress.
      Media Kit
      AMRA’s Media Kit provides access to essential materials about AMRA, including relevant company information and useful brand assets.

      About AMRA

      AMRA Medical is a global leader in health informatics, pioneering fat and muscle analysis with proprietary MRI-based technologies. Our gold-standard platform delivers precise biomarkers, offering a deeper understanding of metabolic and musculoskeletal health. AMRA supports data-driven decision-making in research and clinical care through standardized, cloud-based workflows—enabling actionable insights from early discovery to clinical outcomes.

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Technical validation: AMRA® Researcher

Summary of peer-reviewed publications

Leinhard OD, Johansson A, Rydell J, Smedby Ö, Nyström F, Lundberg P, Borga M, (2008) Quantitative abdominal fat estimation using MRI, Proceedings of 19th International Conference on Pattern Recognition, https://ieeexplore.ieee.org/document/4761764

Romu T, Borga M, Leinhard OD, (2011) MANA – Multi scale adaptive normalized averaging, Proceedings of 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro https://ieeexplore.ieee.org/document/5872424 

Andersson T, Romu T, Karlsson A, Noren B, Forsgren MF, Smedby Ö, Kechagias S, Almer S, Lundberg P, Borga M, Leinhard OD, (2015) Consistent intensity inhomogeneity correction in water-fat MRI, J Magn Reson Imaging,  https://doi.org/10.1002/jmri.24778 

West J, Leinhard OD, Romu T, Collins R, Garratt S, Bell JD, Borga M, Thomas L, (2016) Feasibility of MR-based body composition analysis in large scale population studies, PLoS One, https://doi.org/10.1371/journal.pone.0163332 

Borga M, West J, Bell JD, Harvey NC, Romu T, Heymsfield SB, Leinhard OD, (2018) Advanced body composition assessment: From body mass index to body composition profiling, J Investig Med, https://doi.org/10.1136/jim-2018-000722

Thomas MS, Newman D, Leinhard OD, Kasmai B, Greenwood R, Malcolm PN, Karlsson A, Rosander J, Borga M, Toms AP, (2014) Test-retest reliability of automated whole body and compartmental muscle volume measurements on a wide bore 3T MR system, Eur Radiol, https://doi.org/10.1007/s00330-014-3226-6

Borga M, Thomas EL, Romu T, Rosander J, Fitzpatrick J, Leinhard OD, Bell JD, (2015) Validation of a fast method for quantification of intra-abdominal and subcutaneous adipose tissue for large-scale human studies, NMR Biomed, https://doi.org/10.1002/nbm.3432

Karlsson A, Rosander J, Romu T, Tallberg J, Grönqvist A, Borga M, Leinhard OD, (2015) Automatic and quantitative assessment of regional muscle volume by multi-atlas segmentation using whole-body water-fat MRI, J Magn Reson Imaging, https://doi.org/10.1002/jmri.24726

Newman D, Kelly-Morland C, Leinhard OD, Kasmai B, Greenwood R, Malcolm PN, Romu T, Borga M, Toms AP, (2016) Test-retest reliability of rapid whole body and compartmental fat volume quantification on a widebore 3T MR system in normal-weight, overweight, and obese subjects, J Magn Reson Imaging, https://doi.org/10.1002/jmri.25326

Peterson P, Romu T, Brorson H, Leinhard OD, Månsson S, (2016) Fat quantification in skeletal muscle using multi-gradient-echo imaging: Comparison of fat and water references, J Magn Reson Imaging, https://doi.org/10.1002/jmri.24972

Middleton MS, Haufe W, Hooker J, Borga M, Leinhard OD, Romu T, Tunon P, Hamilton G, Wolfson T, Gamst A, Loomba R, Sirlin CB, (2017) Quantifying abdominal adipose tissue and thigh muscle volume and hepatic proton density fat fraction: Repeatability and accuracy of an MR imaging-based, semiautomated analysis method, Radiology, https://doi.org/10.1148/radiol.2017160606 

West J, Romu T, Thorell S, Lindblom H, Berin E, Holm AS, Åstrand LL, Karlsson A, Borga M, Hammar M, Leinhard OD, (2018) Precision of MRI-based body composition measurements of postmenopausal women, PLoS One, https://doi.org/10.1371/journal.pone.0192495

Borga M, Ahlgren A, Romu T, Widholm P, Leinhard OD, West J, (2020) Reproducibility and repeatability of MRI-based body composition analysis, Magn Reson Med, https://doi.org/10.1002/mrm.28360 

Mandić M, Rullman E, Widholm P, Lilja M, Leinhard OD, Gustafsson T, Lundberg TR, (2020) Automated assessment of regional muscle volume and hypertrophy using MRI, Sci Rep, https://doi.org/10.1038/s41598-020-59267-x 

Karlsson A, Peolsson A, Romu T, Leinhard OD, Spetz Holm AC, Thorell S, West J, Borga M, (2021) The effect on precision and T1 bias comparing two flip angles when estimating muscle fat infiltration using fat-referenced chemical shift-encoded imaging, NMR Biomed, https://doi.org/10.1002/nbm.4581 

Niklasson E, Borga M, Leinhard OD, Widholm P, Andersson DP, Wiik A, Holmberg M, Brismar TB, Gustafsson T, Lundberg TR, (2022) Assessment of anterior thigh muscle size and fat infiltration using single-slice CT imaging versus automated MRI analysis in adults, Br J Radiol, https://doi.org/10.1259/bjr.20211094 

Widholm P, Ahlgren A, Karlsson M, Romu T, Tawil R, Wagner KR, Statland JM, Wang LH, Shieh PB, van Engelen BGM, Cadavid D, Ronco L, Odueyungbo AO, Jiang JG, Mellion ML, Leinhard OD, (2022) Quantitative muscle analysis in facioscapulohumeral muscular dystrophy using whole-body fat-referenced MRI: Protocol development, multicenter feasibility, and repeatability, Muscle Nerve, https://doi.org/10.1002/mus.27638 

Nayak KS, Cui SX, Tasdelen B, Yagiz E, Weston S, Zhong X, Ahlgren A, (2023) Body composition profiling at 0.55T: Feasibility and precision, Magn Reson Med, https://doi.org/10.1002/mrm.29682 

Heerfordt J, Karlsson M, Kusama M, Ogata S, Mukasa R, Kiyosawa N, Sato N, Widholm P, Leinhard OD, Ahlgren A, Mori-Yoshimura M, (2024) Volumetric muscle composition analysis in sporadic inclusion body myositis using fat-referenced magnetic resonance imaging: Disease pattern, repeatability, and natural progression, Muscle Nerve, https://doi.org/10.1002/mus.28252 

Fowler KJ, Venkatesh SK, Obuchowski N, Middleton MS, Chen J, Pepin K, Magnuson J, Brown KJ, Batakis D, Henderson WC, Shankar SS, Kamphaus TN, Pasek A, Calle RA, Sanyal AJ, Loomba R, Ehman R, Samir AE, Sirlin CB, Sherlock SP, (2023) Repeatability of MRI Biomarkers in Nonalcoholic Fatty Liver Disease: The NIMBLE Consortium, Radiology, https://doi.org/10.1148/radiol.231092 

Fuchs CJ, Hermans WJH, van den Hurk J, Wiggins CJ, Widholm P, Leinhard OD, Veeraiah P, Wildberger JE, Prompers JJ, van Loon LJC, (2025) Quantifying Leg Muscle Disuse Atrophy During Bed Rest Using DXA, CT, and MRI, Eur J Sport Sci, https://doi.org/10.1002/ejsc.12299

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