Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

AI-assisted discovery of an ethnicity-influenced driver of cell transformation in esophageal and gastroesophageal junction adenocarcinomas

21 Sept 2022

Abstract excerpt

Although Barrett's metaplasia of the esophagus (BE) is the only known precursor lesion to esophageal adenocarcinomas (EACs), drivers of cellular transformation in BE remain incompletely understood. We use an artificial intelligence-guided network approach to study EAC initiation and progression. Key predictions are subsequently validated in a human organoid model, in patient-derived biopsy specimens of BE, a...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Cancer Cells and Metastasis
Share to Cancer Genomics and Diagnostics
Share to Esophageal Cancer Research and Treatment

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Source

Identifiers

PMID: 36134663
DOI: 10.1172/jci.insight.161334

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 14 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

AI-assisted discovery of an ethnicity-influenced driver of cell transformation in esophageal and gastroesophageal junction adenocarcinomasPMID 36134663Read ↗

AI-assisted Discovery of an Ethnicity-influenced Driver of Cell Transformation in Esophageal and Gastroesophageal Junction AdenocarcinomasSemantic proximity Read ↗

Artificial Intelligence-Powered Hematoxylin and Eosin Analyzer Reveals Distinct Immunologic and Mutational Profiles among Immune Phenotypes in Non-Small-Cell Lung Cancer.Semantic proximity Read ↗

Deciphering Precursor Cell Dynamics in Esophageal Preneoplasia via Genetic Barcoding and Single-Cell TranscriptomicsSemantic proximity Read ↗

Artificial Intelligence Guided Discovery of Gastric Cancer ContinuumSemantic proximity Read ↗

Single cell analysis of Barrett’s esophagus and carcinoma reveals cell types conferring risk via genetic predispositionSemantic proximity Read ↗

Histopathology-based Spatial Profiling of Immune and Molecular Features Predicts Cancer risk in Barrett’s EsophagusSemantic proximity Read ↗

An AI-Powered tissue-agnostic cellular morphometrics biomarker for risk assessment in patients with pan-gastrointestinal precancerous lesions and cancersSemantic proximity Read ↗

EsoDetect: Computational Validation and Algorithm Development of a Novel Diagnostic and Prognostic Tool for Dysplasia in Barrett’s EsophagusSemantic proximity Read ↗

Artificial Intelligence-Enabled Integration Suggests TP53 Pathway Alterations as Prognostic Biomarkers in Populations with Disproportionate Health Burdens.Semantic proximity Read ↗

Spatially resolved transcriptomic and proteomic profiling reveals cell interaction programs that predict Barrett’s esophagus progressionSemantic proximity Read ↗

Alterations of the composition and spatial organization of the microenvironment following non-dysplastic Barrett’s esophagus through progression to cancerSemantic proximity Read ↗

Integrating Artificial Intelligence and Precision Medicine to Characterize JAK-STAT Pathway Alterations in FOLFOX-Treated Colorectal Cancer in Disproportionately Affected GroupsSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.