Open Science

Explore our open access publications, data and models

Open code

Open project

AI moonshot to accelerate open science in Glioblastoma

We are seeking innovative lab facilities for wet-lab validation of our GBM targets and computing partners to revolutionize Glioblastoma patient care.

Code repository associated with the FedECA article.

A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.

A Vision Transformer Large pretrained with Dinov2 self-supervised method on PANCAN-XL.

A self-supervised learning model for histopathology trained with iBOT.

Open-access publications & preprints

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Comprehensive Molecular and Pathologic Evaluation of Transitional Mesothelioma Assisted by Deep Learning Approach: A Multi-Institutional Study of the International Mesothelioma Panel from the MESOPATH Reference Center

Francoise Galateau Sallé

Journal of Thoracic Oncology

Federated Survival Analysis with Discrete-Time Cox Models

Mathieu Andreux

Efficient Per-Example Gradient Computations in Convolutional Neural Networks

Gaspar Rochette

Substra: a framework for privacy-preserving, traceable and collaborative Machine Learning

Mathieu Galtier

Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data

Alberto Romagnoni

Scientific Reports

ToxicBlend: Virtual screening of toxic compounds with ensemble predictors

Mikhail Zaslavskiy

Computational Toxicology

Detection and characterization of MRI breast lesions using deep learning

Diagnostic & Interventional Imaging

Diagnosis of focal liver lesions from ultrasound using deep learning

Benoit Schmauch

Diagnostic & Interventional Imaging

How to estimate the age of your brain with MRI data

Deterministic and generalized framework for unsupervised learning with restricted boltzmann machines

Physical Review X

Brain age prediction of healthy subjects on anatomic MRI with deep learning: going beyond with an" explainable AI

Classification and disease localization in histopathology using only global labels: A weakly-supervised approach

Pierre Courtiol

Hugging Face

Explore our datasets and models

Discover the models, datasets, and tools we're sharing to accelerate AI-driven medical research.

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Github

Explore our repositories on GitHub

Browse the open-source code, tools, and frameworks driving AI innovation in biomedicine.

github.com/owkin