Enrico Mossotto

Southampton, ENG, United Kingdom

Last Updated: 09/26/2026

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Found 15 publications

Supervised Machine Learning Classifies Inflammatory Bowel Disease Patients by Subtype Using Whole Exome Sequencing Data.

Supervised Machine Learning Classifies Inflammatory Bowel Disease Patients by Subtype Using Whole Exome Sequencing Data.

Journal: Journal of Crohn's & colitis

Published: May 19, 2023

Evidence of a genetically driven metabolomic signature in actively inflamed Crohn's disease.

Evidence of a genetically driven metabolomic signature in actively inflamed Crohn's disease.

Journal: Scientific reports

Published: March 04, 2022

A Systematic Review of Artificial Intelligence and Machine Learning Applications to Inflammatory Bowel Disease, with Practical Guidelines for Interpretation.

A Systematic Review of Artificial Intelligence and Machine Learning Applications to Inflammatory Bowel Disease, with Practical Guidelines for Interpretation.

Journal: Inflammatory bowel diseases

Published: February 03, 2022

Expression profile of the matricellular protein periostin in paediatric inflammatory bowel disease.

Expression profile of the matricellular protein periostin in paediatric inflammatory bowel disease.

Journal: Scientific reports

Published: December 07, 2020

Genetic Sequencing of Pediatric Patients Identifies Mutations in Monogenic Inflammatory Bowel Disease Genes that Translate to Distinct Clinical Phenotypes.

Genetic Sequencing of Pediatric Patients Identifies Mutations in Monogenic Inflammatory Bowel Disease Genes that Translate to Distinct Clinical Phenotypes.

Journal: Clinical and translational gastroenterology

Published: May 29, 2020

Immunological Profiling of Paediatric Inflammatory Bowel Disease Using Unsupervised Machine Learning.

Immunological Profiling of Paediatric Inflammatory Bowel Disease Using Unsupervised Machine Learning.

Journal: Journal of pediatric gastroenterology and nutrition

Published: May 23, 2020

A systematic review of the applications of artificial intelligence and machine learning in autoimmune diseases.

A systematic review of the applications of artificial intelligence and machine learning in autoimmune diseases.

Journal: NPJ digital medicine

Published: August 12, 2019

TTC7A Variants Previously Described to Cause Enteropathy Are Observed on a Single Haplotype and Appear Non-pathogenic in Pediatric Inflammatory Bowel Disease Patients.

TTC7A Variants Previously Described to Cause Enteropathy Are Observed on a Single Haplotype and Appear Non-pathogenic in Pediatric Inflammatory Bowel Disease Patients.

Journal: Journal of clinical immunology

Published: July 25, 2019

Personalising medicine in inflammatory bowel disease-current and future perspectives.

Personalising medicine in inflammatory bowel disease-current and future perspectives.

Journal: Translational pediatrics

Published: March 19, 2019

Analysis and Hierarchical Clustering of Blood Results Before Diagnosis in Pediatric Inflammatory Bowel Disease.

Analysis and Hierarchical Clustering of Blood Results Before Diagnosis in Pediatric Inflammatory Bowel Disease.

Journal: Inflammatory bowel diseases

Published: November 09, 2018

Increased prevalence of anti-TNF therapy in paediatric inflammatory bowel disease is associated with a decline in surgical resections during childhood.

Increased prevalence of anti-TNF therapy in paediatric inflammatory bowel disease is associated with a decline in surgical resections during childhood.

Journal: Alimentary pharmacology & therapeutics

Published: September 17, 2018

GenePy - a score for estimating gene pathogenicity in individuals using next-generation sequencing data.

GenePy - a score for estimating gene pathogenicity in individuals using next-generation sequencing data.

Journal: BMC bioinformatics

Published: September 14, 2018

Showing 1-12 of 15

Last Updated: 09/26/2026