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International Journal of Molecular Sciences|April 13, 2023
Comparison of SPEED, S-Trap, and In-Solution-Based Sample Preparation Methods for Mass Spectrometry in Kidney Tissue and PlasmaEvelyn M Templeton, Anna P Pilbrow, Torsten Kleffmann, et al.
Circulation|August 17, 2019
Machine Learning to Predict the Likelihood of Acute Myocardial InfarctionMartin P Than, John W Pickering, Yader Sandoval, et al.
The Canadian Journal of Cardiology|February 28, 2025
A Common Algorithm for Cardiac Troponin to Rule Out and Rule in Acute Myocardial InfarctionNiklas Thieβen, John W Pickering, Caroline Kellner, et al.
European Heart Journal. Acute Cardiovascular Care|January 28, 2025
Clinical derivation and data simulated validation of rule-out and rule-in algorithms for the Siemens Atellica IM high-sensitivity cardiac troponin I assayIngar Ziad Restan, Ole-Thomas Steiro, John W Pickering, et al.
Journal of the American Medical Informatics Association : JAMIA|February 21, 2021
Improving the delivery of palliative care through predictive modeling and healthcare informaticsDennis H Murphree, Patrick M Wilson, Shusaku W Asai, et al.
International Journal of Molecular Sciences|January 21, 2022
Identifying Candidate Protein Markers of Acute Kidney Injury in Acute Decompensated Heart FailureEvelyn M Templeton, Moritz Lassé, Torsten Kleffmann, et al.
Clinical Chemistry and Laboratory Medicine|March 5, 2026
Considerations and pragmatic strategies for implementation of point of care testing for high sensitivity cardiac troponin into the acute care settingPaul Collinson, Leo Lam, John W Pickering, et al.
Clinical Chemistry|January 23, 2016
Two-Hour Algorithm for Triage toward Rule-Out and Rule-In of Acute Myocardial Infarction by Use of High-Sensitivity Cardiac Troponin IJasper Boeddinghaus, Tobias Reichlin, Louise Cullen, et al.
Journal of Pain and Symptom Management|February 26, 2023
Effect of an Artificial Intelligence Decision Support Tool on Palliative Care Referral in Hospitalized Patients: A Randomized Clinical TrialPatrick M Wilson, Priya Ramar, Lindsey M Philpot, et al.
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