Xuefeng B Ling
Affiliation: Stanford University
- Integrating multiple 'omics' analyses identifies serological protein biomarkers for preeclampsiaLinda Y Liu
Department of Pediatrics, Stanford University, 1265 Welch Road, Room X 163 MS 5415, Stanford, CA 94305, USA
BMC Med 11:236. 2013..Preeclampsia (PE) is a pregnancy-related vascular disorder which is the leading cause of maternal morbidity and mortality. We sought to identify novel serological protein markers to diagnose PE with a multi-'omics' based discovery approach...
- Cloud-based solution to identify statistically significant MS peaks differentiating sample categoriesJun Ji
Departments of Surgery, Stanford University, Stanford, CA 94305, USA
BMC Res Notes 6:109. 2013..Turnkey" solutions are needed for biomarker investigations to rapidly process MS data sets to identify statistically significant peaks for subsequent validation...
- NLP based congestive heart failure case finding: A prospective analysis on statewide electronic medical recordsYue Wang
State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, PR China Departments of Surgery, Stanford University, Stanford, CA 94305, USA
Int J Med Inform 84:1039-47. 2015....
- Point-of-care differentiation of Kawasaki disease from other febrile illnessesXuefeng B Ling
Department of Surgery, Stanford University, Stanford, CA 94305 5178, USA
J Pediatr 162:183-188.e3. 2013..To test whether statistical learning on clinical and laboratory test patterns would lead to an algorithm for Kawasaki disease (KD) diagnosis that could aid clinicians...
- Development, Validation and Deployment of a Real Time 30 Day Hospital Readmission Risk Assessment Tool in the Maine Healthcare Information ExchangeShiying Hao
Departments of Surgery, Stanford University, Stanford, California, United States of America
PLoS ONE 10:e0140271. 2015..This study developed a risk model to predict a 30-day inpatient hospital readmission for patients in Maine, across all payers, all diseases and all demographic groups...
- A novel urine peptide biomarker-based algorithm for the prognosis of necrotising enterocolitis in human infantsKarl G Sylvester
Division of Pediatric Surgery, Lucile Packard Children s Hospital, Stanford, USA Department of Surgery, Stanford University School of Medicine, Stanford, USA
Gut 63:1284-92. 2014..We hypothesised that integrated analysis of clinical parameters in combination with urine peptide biomarkers would lead to improved prognostic accuracy in the NEC population...
- Correlation analyses of clinical and molecular findings identify candidate biological pathways in systemic juvenile idiopathic arthritisXuefeng B Ling
Program in Immunology, Department of Pediatrics, Stanford University, Stanford, CA 94305, USA
BMC Med 10:125. 2012....
- A diagnostic algorithm combining clinical and molecular data distinguishes Kawasaki disease from other febrile illnessesXuefeng B Ling
Department of Pediatrics, Stanford University, Stanford, CA 94305, USA
BMC Med 9:130. 2011..We sought to develop a diagnostic algorithm to help clinicians distinguish Kawasaki disease patients from febrile controls to allow timely initiation of treatment...
- Exploring Value in Congenital Heart Disease: An Evaluation of Inpatient AdmissionsAndrew Y Shin
Department of Pediatrics, Stanford University, Palo Alto, Calif, USA
Congenit Heart Dis 10:E278-87. 2015..We aimed to describe clinical and nonclinical features associated with value...
- Cerebrospinal fluid protein dynamic driver network: At the crossroads of brain tumorigenesisZhou Tan
Hangzhou Normal University, Zhejiang 311121, China Stanford University, Stanford, CA 94305, USA
Methods 83:36-43. 2015..More detailed method and information are accessible through our website at http://translationalmedicine.stanford.edu...
- Risk prediction of emergency department revisit 30 days post discharge: a prospective studyShiying Hao
HBI Solutions Inc, Palo Alto, California, United States of America Department of Surgery, Stanford University, Stanford, California, United States of America
PLoS ONE 9:e112944. 2014..Identification of high-risk patient population can help device new strategies for improved ED care with reduced ED utilization...
- A data-driven algorithm integrating clinical and laboratory features for the diagnosis and prognosis of necrotizing enterocolitisJun Ji
State Key Laboratory of Industrial Control Technology, Institute of Industrial Process Control, Zhejiang University, Hangzhou, Zhejiang, China Department of Surgery, Stanford University, Stanford, California, United States of America
PLoS ONE 9:e89860. 2014..The objective in this study was to develop and validate new NEC scoring systems for automated staging and prognostic forecasting...
- AKI in hospitalized children: epidemiology and clinical associations in a national cohortScott M Sutherland
Departments of Pediatrics, Surgery, and, Health Research and Policy, Stanford University, Stanford, California, HBI Solutions Inc, Palo Alto, California
Clin J Am Soc Nephrol 8:1661-9. 2013..This study characterizes pediatric AKI across the United States and identifies AKI risk factors using high-content/high-throughput analytic techniques...
- Plasma profiles in active systemic juvenile idiopathic arthritis: Biomarkers and biological implicationsXuefeng B Ling
Department of Pediatrics, Stanford University, Stanford, CA 94305 5164, USA
Proteomics 10:4415-30. 2010..Pathway analyses of the 15 proteins in the SJIA flare versus quiescence signature corroborate growing evidence for a key role for IL-1 at disease flare...
- Urine peptidomics for clinical biomarker discoveryXuefeng B Ling
Department of Pediatrics, Stanford University, Stanford, California, USA
Adv Clin Chem 51:181-213. 2010..This study summarizes, focusing on our experiences and perspectives, the progress in addressing these challenges to enable high-throughput urine peptidomics-based biomarker discovery...
- Integrative urinary peptidomics in renal transplantation identifies biomarkers for acute rejectionXuefeng B Ling
Divisions of Biotechnology Core, Department of Pediatrics, Stanford University School of Medicine, Stanford University, Stanford, California, USA
J Am Soc Nephrol 21:646-53. 2010..98). These data suggest that changes in collagen remodeling characterize AR and that detection of the corresponding proteolytic degradation products in urine provides a noninvasive diagnostic approach...