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Gina Barzen

As seen in: Nature, PLOS ONE, medRxiv
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Articles

Correction: On the crossroads of interdisciplinary medicine in amyloidosis – study protocol for a single-center interdisciplinary registry study

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By Helena F. Pernice, Gina Barzen, Jakub P. Piwowarski
| PLOS ONE
Loading metrics There are errors in the author affiliations. The correct affiliations are as follows: Helena Pernice1,2, Gina Barzen1,4,5,6, Jakub Piwowarski1,4,5, Harisa Muratovic-Colic1,2, Anne Pankow1,7, Vera von Landenberg-Roberg1,8, Stephan Bohl1,8, Eva Schrezenmeier1,9, Paul J. Wetzel1,2, Nicolas W. Wieder1,2,10, Gunnar Fiß1, Elisabeth Blüthner1,10,11, Fabian Knebel1,12, Daniel Messroghli3, Stefanie M.
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Transferability of a US claims-based machine learning model for ATTRwt-CM identification: a retrospective evaluation in a German setting

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By Miriam R. Hübner, Isabel Mattig, Paul J. Wetzel, Helena F. Pernice, Gina Barzen, Nicolas Wieder, Jakub P. Piwowarski, Daniel R. Messroghli, Sebastian Spethmann, Richard Röttger, Josef Schepers, Katrin Hahn, Harisa Muratovic-Colic, Jan-Filip Rehburg, Katrin Wrede-Wihl, Stephan Bohl, Vera von Landenberg-Roberg
| Nature Verified
Abstract Cardiac amyloidosis (CA), a fatal and progressive cardiomyopathy is characterized by amyloid deposition within the myocardium. The main forms of CA include transthyretin amyloidosis (ATTR-CM; distinguished into a hereditary and wildtype form [ATTRv and ATTRwt]) and light-chain amyloidosis (AL). Transthyretin amyloidosis with cardiomyopathy (ATTR-CM) is increasingly recognized among heart failure (HF) patients, despite its underestimated prevalence as a rare disease.
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Wearables for Telemonitoring in ATTR-Amyloidosis: Current Perspectives

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By Andreas Kind, Helena F. Pernice, Gina Barzen
| Preprints.org
You are already at the latest version Wearable sensors enable continuous recording of electrocardiographic, photoplethys-mographic, and inertial signals and have accelerated the development of digital bi-omarkers in cardiovascular medicine.
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