Gastroenterology

Latest AI and machine learning research in gastroenterology for healthcare professionals.

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Artificial Intelligence-assisted Video Colonoscopy for Disease Monitoring of Ulcerative Colitis: A Prospective Study.

BACKGROUNDS AND AIMS: The Mayo endoscopic subscore [MES] is the most popular endoscopic disease acti...

Jan 2025 38828734
EndoDINO: A Foundation Model for GI Endoscopy

In this work, we present EndoDINO, a foundation model for GI endoscopy tasks that achieves strong ...

RadGPT: Constructing 3D Image-Text Tumor Datasets

With over 85 million CT scans performed annually in the United States, creating tumor-related repo...

A One Dimensional (1D) Computational Fluid Dynamics Study of Fontan-Associated Liver Disease (FALD)

Fontan-Associated Liver Disease (FALD) is a disorder arising from hemodynamic changes and venous c...

ScaleMAI: Accelerating the Development of Trusted Datasets and AI Models

Building trusted datasets is critical for transparent and responsible Medical AI (MAI) research, b...

ODFormer: a Virtual Organoid for Predicting Personalized Therapeutic Responses in Pancreatic Cancer

Pancreatic cancer (PC) patient-derived organoids (PDOs) faithfully recapitulate therapeutic response...

Age Classification of White-tailed Deer Via Computer Vision and Deep Learning

Accurate age estimation of wild whitetail deer remains a significant challenge for wildlife manageme...

In Silico Target Identification Highlights IL12B as a Candidate for Small Molecule Drug Development

Drug discovery’s rising costs and complexities require innovative strategies to identify viable ther...

Human gut flagellome profiling using FlaPro reveals TLR5-related phenotype-specific alterations in IBD

Flagellin is the protein monomer of the bacterial flagellum, which confers motility, allowing bacter...

Temporal foundation model unveils ancient Hepatitis B virus evolution

Since ancient hepatitis B virus (HBV) sequencing data are scarce and incomplete, the evolutionary dy...

snATAC-Express infers Gene Expression from Prioritized Chromatin Accessibility Peaks using Machine Learning

Single cell multi-omic investigation opens-up new opportunities to understand mechanisms of gene reg...

Model-informed Deep Q-Networks to Guide Infliximab Dosing in Pediatric Crohn’s Disease

Model-informed precision dosing (MIPD) utilizes pharmacokinetic/pharmacodynamic (PK/PD) models to op...

MACGA: Multi-scale Adaptive Convolution with Graph Attention for LncRNA–Disease Association Prediction

Accurate prediction of lncRNA-disease associations (LDAs) is crucial for understanding complex disea...

Rapid and Reproducible Multimodal Biological Foundation Model Development with AIDO.ModelGenerator

Foundation models (FMs) for DNA, RNA, proteins, cells, and tissues have begun to close long-standing...

Deep-learning triage of 3D pathology datasets for comprehensive and efficient pathologist assessments

Standard-of-care slide-based 2D histopathology severely undersamples spatially heterogeneous tissue ...

Discovery of Prognostic Biomarkers in Gastric Cancer Through Machine Learning and Bioinformatics Analysis of Gene Expression Data

Gastric cancer (GC) often gets diagnosed in its advanced stages, resulting in poorer prognoses. To i...

Metabolomics-Guided Machine Learning Reveals Diagnostic and Mechanistic Biomarkers in CHB with MASLD

Metabolic dysfunction–associated steatotic liver disease (MASLD) often coexists with chronic hepatit...

Integrative Analysis of the Mouse Cecal Microbiome Across Diet, Age, and Metabolic State in the Diverse BXD Population

The gut microbiota both adapts to, and shapes, the host’s metabolic state through metabolites and ge...

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