| Analysis of alternative signaling pathways of endoderm induction of human embryonic stem cells identifies context specific differences S Mathew, M Jaramillo, X Zhang, LA Zhang, A Soto-Gutiérrez, I Banerjee BMC systems biology 6 (1), 1-13, 2012 | 21 | 2012 |
| High affinity γPNA sandwich hybridization assay for rapid detection of short nucleic acid targets with single mismatch discrimination JM Goldman, LA Zhang, A Manna, BA Armitage, DH Ly, JW Schneider Biomacromolecules 14 (7), 2253-2261, 2013 | 18 | 2013 |
| Evaluation of repeated qSOFA measurements among patients with suspected infection DR Kievlan, LA Zhang, CCH Chang, DC Angus, CW Seymour Critical care medicine 46 (12), 1906, 2018 | 11 | 2018 |
| APT-MCMC, a C++/Python implementation of Markov Chain Monte Carlo for parameter identification LA Zhang, A Urbano, G Clermont, D Swigon, I Banerjee, RS Parker Computers & chemical engineering 110, 1-12, 2018 | 7 | 2018 |
| Discrete dynamical modeling of influenza virus infection suggests age-dependent differences in immunity E Keef, LA Zhang, D Swigon, A Urbano, GB Ermentrout, M Matuszewski, ... Journal of virology 91 (23), e00395-17, 2017 | 7 | 2017 |
| A one-nearest-neighbor approach to identify the original time of infection using censored baboon sepsis data LA Zhang, RS Parker, D Swigon, I Banerjee, S Bahrami, H Redl, ... Critical care medicine 44 (6), e432, 2016 | 5 | 2016 |
| 1345: Serial evaluation of qsofa among patients with suspected infection D Kievlan, LA Zhang, J Kahn, D Angus, C Seymour Critical Care Medicine 44 (12), 412, 2016 | 4 | 2016 |
| Model-based Decision Support for Sepsis Endotypes LA Zhang University of Pittsburgh, 2018 | 1 | 2018 |
| Sepsis endotypes defined by cytokine trajectory analysis L Zhu, F Pike, LA Zhang, RS Parker, ED Mochan-Keef, D Swigon, ... Intensive Care Medicine Experimental 3 (1), 1-2, 2015 | 1 | 2015 |
| Identifying High-Risk Suspected Infection Patients Using Serial Qsofa Measurements And Group-Based Trajectory Modeling DR Kievlan, LA Zhang, CC Chang, DC Angus, CW Seymour C23. CRITICAL CARE: WHAT CAN BE MEASURED CAN BE IMPROVED-INVESTIGATING THE …, 2017 | | 2017 |
| C23 CRITICAL CARE: WHAT CAN BE MEASURED CAN BE IMPROVED-INVESTIGATING THE EPIDEMIOLOGY AND OUTCOMES OF PATIENTS WITH ACUTE CRITICAL ILLNESS: Identifying High-Risk Suspected … DR Kievlan, LA Zhang, CC Chang, DC Angus, CW Seymour American Journal of Respiratory and Critical Care Medicine 195, 2017 | | 2017 |
| 1330: SEPSIS ENDOTYPES AND THEIR PHYSIOLOGIC CHARACTERIZATION USING VITAL SIGNS LA Zhang, R Parker, I Banerjee, G Clermont Critical Care Medicine 44 (12), 408, 2016 | | 2016 |
| 1037: USING VITALS AND A SINGLE BLOOD BIOMARKER TO PREDICT DISEASE TIME ZERO IN ANIMAL MODELS OF SEPSIS LA Zhang, I Banerjee, D Swigon, R Parker, S Bahrami, H Redl, ... Critical Care Medicine 43 (12), 261, 2015 | | 2015 |
| 990: USING BIOMARKERS TO ENHANCE 60-DAY IN HOSPITAL MORTALITY PREDICTION FOR EARLY SEPSIS PATIENT L Zhu, G Clermont, LA Zhang, E Mochan-Keef, R Parker, D Swigon, ... Critical Care Medicine 43 (12), 249, 2015 | | 2015 |
