Meriem Sefta

Paris, France

Last Updated: 09/26/2026

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Found 8 publications

Deep learning assessment of metastatic relapse risk from digitized breast cancer histological slides.

Deep learning assessment of metastatic relapse risk from digitized breast cancer histological slides.

Journal: Nature communications

Published: October 10, 2024

Validation of MSIntuit as an AI-based pre-screening tool for MSI detection from colorectal cancer histology slides.

Validation of MSIntuit as an AI-based pre-screening tool for MSI detection from colorectal cancer histology slides.

Journal: Nature communications

Published: March 28, 2023

An artificial intelligence model predicts the survival of solid tumour patients from imaging and clinical data.

An artificial intelligence model predicts the survival of solid tumour patients from imaging and clinical data.

Journal: European journal of cancer (Oxford, England : 1990)

Published: May 24, 2022

A high-risk retinoblastoma subtype with stemness features, dedifferentiated cone states and neuronal/ganglion cell gene expression.

A high-risk retinoblastoma subtype with stemness features, dedifferentiated cone states and neuronal/ganglion cell gene expression.

Journal: Nature communications

Published: November 14, 2020

Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients.

Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients.

Journal: Nature communications

Published: May 19, 2020

A deep learning model to predict RNA-Seq expression of tumours from whole slide images.

A deep learning model to predict RNA-Seq expression of tumours from whole slide images.

Journal: Nature communications

Published: October 28, 2019

Deep learning-based classification of mesothelioma improves prediction of patient outcome.

Deep learning-based classification of mesothelioma improves prediction of patient outcome.

Journal: Nature medicine

Published: February 13, 2019

A Parent-of-Origin Effect Impacts the Phenotype in Low Penetrance Retinoblastoma Families Segregating the c.1981C>T/p.Arg661Trp Mutation of RB1.

A Parent-of-Origin Effect Impacts the Phenotype in Low Penetrance Retinoblastoma Families Segregating the c.1981C>T/p.Arg661Trp Mutation of RB1.

Journal: PLoS genetics

Published: July 28, 2015

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Last Updated: 09/26/2026