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Proteomes|March 7, 2020
Proteomics-Based Detection of Immune Dysfunction in an Elite Adventure Athlete Trekking Across the AntarcticaDavid C Nieman, Arnoud J Groen, Artyom Pugachev, et al.
The International Journal of Cardiovascular Imaging|October 28, 2020
Detection of coronary calcifications with dual energy chest X-rays: clinical evaluationYingnan Song, Hao Wu, Di Wen, et al.
ALTEX|December 24, 2016
Incorporation of a metabolizing system in biodetection assays for endocrine active substancesJulie Mollergues, Barbara van Vugt-Lussenburg, Christian Kirchnawy, et al.
Physical Review. E|February 18, 2017
Experimental observation of oscillatory cellular patterns in three-dimensional directional solidificationJ Pereda, F L Mota, L Chen, et al.
Journal of Religion and Health|February 15, 2015
Religious Perspectives on Human Suffering: Implications for Medicine and BioethicsScott J Fitzpatrick, Ian H Kerridge, Christopher F C Jordens, et al.
Europace : European Pacing, Arrhythmias, and Cardiac Electrophysiology : Journal of the Working Groups on Cardiac Pacing, Arrhythmias, and Cardiac Cellular Electrophysiology of the European Society of Cardiology|March 18, 2023
Quantifying a spectrum of clinical response in atrial tachyarrhythmias using spatiotemporal synchronization of electrogramsPrasanth Ganesan, Brototo Deb, Ruibin Feng, et al.
Transplantation Proceedings|November 22, 2005
High-density culture of human islets on top of silicone rubber membranesK K Papas, E S Avgoustiniatos, L A Tempelman, et al.
Cureus|January 25, 2023
Giving Rest to the Restless Leg: A Case Report of How Self-Education Prepending Web-Based Interventions Can Ameliorate Restless Leg SyndromeQaisar Ali Khan, Hoor Ul Ain, Kavya Shah, et al.
Plos One|March 9, 2023
Study protocol for development of an options assessment toolkit (OAT) for national malaria programs in Asia Pacific to determine best combinations of vivax radical cure for their given contextsManash Shrestha, Josselyn Neukom, Sanjaya Acharya, et al.
Circulation. Arrhythmia and Electrophysiology|July 8, 2020
Machine Learning to Classify Intracardiac Electrical Patterns During Atrial Fibrillation: Machine Learning of Atrial FibrillationMahmood I Alhusseini, Firas Abuzaid, Albert J Rogers, et al.
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