Li Ang Zhang
Li Ang Zhang
Associate Information Scientist at the RAND Corporation
Verified email at rand.org
Title
Cited by
Cited by
Year
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
212012
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
182013
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
112018
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
72018
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
72017
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
52016
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
42016
Model-based Decision Support for Sepsis Endotypes
LA Zhang
University of Pittsburgh, 2018
12018
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
12015
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
The system can't perform the operation now. Try again later.
Articles 1–14