G. Barnes

发表

Application of a machine learning-driven, multibiomarker panel for prediction of incident cardiovascular events in patients with suspected myocardial infarction.

T. Zeller, D. Westermann, P. Haller, 2020, Biomarkers in medicine.

Multiple biomarker panel to screen for severe aortic stenosis: results from the CASABLANCA study

S. Elmariah, C. McCarthy, J. Januzzi, 2018, Open Heart.

Performance of a clinical/proteomic panel to predict obstructive peripheral artery disease in patients with and without diabetes mellitus

J. Januzzi, H. Gaggin, S. Shrestha, 2019, Open Heart.

A clinical and proteomics approach to predict the presence of obstructive peripheral arterial disease: From the Catheter Sampled Blood Archive in Cardiovascular Diseases (CASABLANCA) Study

S. Motiwala, J. Januzzi, H. Gaggin, 2018, Clinical cardiology.

Statistical design for biospecimen cohort size in proteomics-based biomarker discovery and verification studies.

Joshua LaBaer, Ann L Oberg, Christopher R Kinsinger, 2013, Journal of proteome research.

Abstract LB-451: Detection of urinary HE4 as a biomarker for epithelial ovarian cancer

Richard G. Moore, Zhong-Qian Li, G. Barnes, 2011 .

Performance of a multi-biomarker panel for prediction of cardiovascular event in patients with chronic kidney disease.

J. Januzzi, R. Mohebi, H. Gaggin, 2022, International journal of cardiology.

Derivation and External Validation of a High‐Sensitivity Cardiac Troponin–Based Proteomic Model to Predict the Presence of Obstructive Coronary Artery Disease

T. Zeller, D. Westermann, J. Januzzi, 2020, Journal of the American Heart Association.

An Artificial Intelligence Derived Blood Test to Diagnose Kawasaki Disease.

A. Rao, M. Portman, C. Magaret, 2023, Hospital pediatrics.