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1. Feasibility Study Utilizing NanoString’s Digital Spatial Profiling (DSP) Technology for Characterizing the Immune Microenvironment in Barrett’s Esophagus Formalin-Fixed Paraffin-Embedded Tissues

2. Computer-aided diagnosis improves characterization of Barrett’s neoplasia by general endoscopists (with video)

3. The use of a real-time computer-aided detection system for visible lesions in the Barrett’s esophagus during live endoscopic procedures: a pilot study (with video)

4. The Tissue Systems Pathology Test Outperforms Pathology Review in Risk Stratifying Patients With Low-Grade Dysplasia

7. COMPUTER-AIDED DIAGNOSIS IMPROVES CHARACTERIZATION OF BARRETT’S NEOPLASIA BY GENERAL ENDOSCOPISTS

8. The use of a real-time computer-aided detection system for visible lesions in the Barrett’s esophagus during live endoscopic procedures, a pilot study

9. A deep learning system for detection of early Barrett's neoplasia: a model development and validation study

11. S599 The Tissue Systems Pathology Test Predicts Risk of Progression in Medicare-Eligible Patients with Barrett’s Esophagus

14. An Automated Tissue Systems Pathology Test Can Standardize the Management and Improve Health Outcomes for Patients With Barrett's Esophagus.

15. Data from A Tissue Systems Pathology Test Detects Abnormalities Associated with Prevalent High-Grade Dysplasia and Esophageal Cancer in Barrett's Esophagus

16. Supplementary Tables S1-S5, Figures S1-S2, Methods from A Tissue Systems Pathology Assay for High-Risk Barrett's Esophagus

17. Supplementary Data from A Tissue Systems Pathology Test Detects Abnormalities Associated with Prevalent High-Grade Dysplasia and Esophageal Cancer in Barrett's Esophagus

22. Sa1175: A CLINICALLY APPLICABLE, GENOMIC ASSAY DETECTS PATHOGENIC ALTERATIONS IN BARRETT'S ESOPHAGUS PATIENTS WITH NONDYSPLASTIC TISSUE

28. 1016 DOMAIN-SPECIFIC PRETRAINING OF DEEP LEARNING SYSTEMS IN GASTROINTESTINAL ENDOSCOPY IMPROVES PERFORMANCE OVER CURRENT STATE-OF-THE-ART PRETRAINING METHODS

31. Risk stratification in Barrett’s esophagus

32. Improved diagnostic stratification of digitised Barrett's oesophagus biopsies by p53 immunohistochemical staining

33. Improved diagnostic stratification of digitised Barrett's oesophagus biopsies by p53 immunohistochemical staining

34. Barrett's esophagus surveillance in a prospective Dutch multi‐center community‐based cohort of 985 patients demonstrates low risk of neoplastic progression

35. 11 - Clinical and Endoscopic Predictors of Neoplastic Progression in Barrett's Esophagus Surveillance: A Multicenter Community Based Prospective Cohort Study

36. Improved diagnostic stratification of digitised Barrett's oesophagus biopsies by p53 immunohistochemical staining

37. The Tissue Systems Pathology Test Outperforms Pathology Review in Risk Stratifying Patients With Low-Grade Dysplasia.

38. Patients With Barrett's Esophagus and Confirmed Persistent Low-Grade Dysplasia Are at Increased Risk for Progression to Neoplasia

39. Patients With Barrett's Esophagus and Confirmed Persistent Low-Grade Dysplasia Are at Increased Risk for Progression to Neoplasia

40. Patients With Barrett’s Esophagus and Confirmed Persistent Low-Grade Dysplasia Are at Increased Risk for Progression to Neoplasia

41. A Tissue Systems Pathology Test Detects Abnormalities Associated with Prevalent High-Grade Dysplasia and Esophageal Cancer in Barrett's Esophagus

43. A Tissue Systems Pathology Assay for High-Risk Barrett's Esophagus

44. Sa1257 A Tissue Systems Pathology Test Detects a Field Effect Associated With High Grade Dysplasia and Esophageal Cancer in Barrett's Esophagus Patients

45. 301 A Novel Tissue Systems Pathology Test Predicts Progression in Barrett's Esophagus Patients

46. Barrett's oesophagus patients with low-grade dysplasia can be accurately risk-stratified after histological review by an expert pathology panel

47. Barrett's oesophagus patients with low-grade dysplasia can be accurately risk-stratified after histological review by an expert pathology panel

49. The Presence of Genetic Mutations at Key Loci Predicts Progression to Esophageal Adenocarcinoma in Barrett’s Esophagus

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