315 results on '"Mayampurath, Anoop"'
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2. The Pediatric Data Science and Analytics Subgroup of the Pediatric Acute Lung Injury and Sepsis Investigators Network: Use of Supervised Machine Learning Applications in Pediatric Critical Care Medicine Research
3. Alcohol Withdrawal Severity Measures for Identifying Patients Requiring High-Intensity Care
4. Predicting transfers to intensive care in children using CEWT and other early warning systems
5. 705: MULTILABEL DEEP LEARNING-BASED CLASSIFICATION OF CRITICAL DETERIORATION AMONG HOSPITALIZED CHILDREN
6. 290: EMERGENCY MEDICAL SERVICE USE AND IN-HOSPITAL MORTALITY IN PATIENTS WITH SUBSTANCE MISUSE
7. Prior emergency medical services utilization is a risk factor for in-hospital death among patients with substance misuse: a retrospective cohort study
8. Multicenter Development and Validation of a Model for Predicting Retention in Care Among People with HIV
9. Development and external validation of deep learning clinical prediction models using variable-length time series data
10. A prediction model for bacteremia and transfer to intensive care in pediatric and adolescent cancer patients with febrile neutropenia
11. Early Diagnosis of Primary Immunodeficiency Disease Using Clinical Data and Machine Learning
12. Predicting neurological outcomes after in-hospital cardiac arrests for patients with Coronavirus Disease 2019
13. Increase in Epinephrine Administration for Food-Induced Anaphylaxis in Pediatric Emergency Departments From 2007 to 2015
14. Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models.
15. Development and Validation of a Risk Score Predicting Death Without Transplant in Adult Heart Transplant Candidates
16. Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models
17. Association between mortality and critical events within 48 hours of transfer to the pediatric intensive care unit
18. 705: MULTILABEL DEEP LEARNING-BASED CLASSIFICATION OF CRITICAL DETERIORATION AMONG HOSPITALIZED CHILDREN
19. Machine Learning and Clinical Informatics for Improving HIV Care Continuum Outcomes
20. Association Between Critical Events in the PICU and Outcomes in Neighboring Patients
21. Predictors of pressure injury development in critically ill adults: A retrospective cohort study
22. Hypotensive Events in Pediatric Patients Receiving Dexmedetomidine for MRI
23. Creation of a data commons for substance misuse related health research through privacy-preserving patient record linkage between hospitals and state agencies
24. Development and external validation of multimodal postoperative acute kidney injury risk machine learning models
25. Mortality and PICU Hospitalization Among Pediatric Gunshot Wound Victims in Chicago
26. 490: PREDICTING INTENSIVE CARE READMISSION AMONG HOSPITALIZED CHILDREN
27. Evaluation of Organ Dysfunction Scores for Allocation of Scarce Resources in Critically Ill Children and Adults During a Healthcare Crisis*
28. Applications of Artificial Intelligence in Pediatric Oncology: A Systematic Review
29. Predicting Response to Chemotherapy in Patients With Newly Diagnosed High-Risk Neuroblastoma: A Report From the International Neuroblastoma Risk Group
30. Characteristics of Critically Ill Adults With Sacrococcygeal Unavoidable Hospital-Acquired Pressure Injuries: A Retrospective, Matched, Case-Control Study
31. Supplementary Figure 1. Effects of long term pan-caspase inhibition on autophagy in myeloma cells. from Synergistic Myeloma Cell Death via Novel Intracellular Activation of Caspase-10–Dependent Apoptosis by Carfilzomib and Selinexor
32. Supplementary Figure 5. Anti-tumor response of all groups of mice treated with carfilzomib or selinexor alone and in combination. from Synergistic Myeloma Cell Death via Novel Intracellular Activation of Caspase-10–Dependent Apoptosis by Carfilzomib and Selinexor
33. Supplementary Figure 4. Changes in body weight of mice receiving single agent or combination treatment with selinexor or carfilzomib. from Synergistic Myeloma Cell Death via Novel Intracellular Activation of Caspase-10–Dependent Apoptosis by Carfilzomib and Selinexor
34. Supplementary Materials and Methods from Synergistic Myeloma Cell Death via Novel Intracellular Activation of Caspase-10–Dependent Apoptosis by Carfilzomib and Selinexor
35. Supplementary Figure 3. Western blot analysis of myeloma PC derived from three relapsed/refractory patients treated with selinexor and carfilzomib, alone and in combination. from Synergistic Myeloma Cell Death via Novel Intracellular Activation of Caspase-10–Dependent Apoptosis by Carfilzomib and Selinexor
36. Supplementary Figure 2. Representative images used in aggresome analysis. from Synergistic Myeloma Cell Death via Novel Intracellular Activation of Caspase-10–Dependent Apoptosis by Carfilzomib and Selinexor
37. Supplementary Figure 7. Immunofluorescent localization of Fas and p62. from Synergistic Myeloma Cell Death via Novel Intracellular Activation of Caspase-10–Dependent Apoptosis by Carfilzomib and Selinexor
38. Supplementary Figure 6. Effects of caspase inhibitors alone on myeloma cell viability. from Synergistic Myeloma Cell Death via Novel Intracellular Activation of Caspase-10–Dependent Apoptosis by Carfilzomib and Selinexor
39. A Vital Sign-Based Model to Predict Clinical Deterioration in Hospitalized Children*
40. External Validation of an Acute Respiratory Distress Syndrome Prediction Model Using Radiology Reports
41. 1130: MORTALITY AND CRITICAL DETERIORATION IN HOSPITALIZED CHILDREN
42. 1133: UTILITY OF LONGITUDINAL TRENDS FOR PREDICTING DETERIORATION IN HOSPITALIZED CHILDREN
43. Automated Matching of Patients to Clinical Trials: A Patient-Centric Natural Language Processing Approach for Pediatric Leukemia.
44. Quantitative proteomics of the yeast Hsp70/Hsp90 interactomes during DNA damage reveal chaperone-dependent regulation of ribonucleotide reductase
45. Plasma Biomarkers of Inflammation Reflect Seizures and Hemorrhagic Activity of Cerebral Cavernous Malformations
46. Identifying infected patients using semi-supervised and transfer learning
47. PICU Survivorship: Factors Affecting Feasibility and Cohort Retention in a Long-Term Outcomes Study
48. Do Biomarkers Play A Role On Tendinopathy?: 2432 Board #268 June 1 9: 30 AM - 11: 00 AM
49. Whole-Proteome Analysis of Human Craniosynostotic Tissue Suggests a Link between Inflammatory Signaling and Osteoclast Activation in Human Cranial Suture Patency
50. 1518: ANALYSIS OF PULSE OXIMETRY DATA TO ESTIMATE HEART RATE VARIABILITY IN HIGH-RISK PEDIATRIC PATIENTS
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