Our latest science, research and ideas

More efficient and inclusive time-to-event trials with covariate adjustment: a simulation study

Owkin's Jean-Philippe Vert shared his thoughts on how generative AI might disrupt drug discovery with Nature Biotechnology

Semiautomated segmentation of hepatocellular carcinoma tumors with MRI using convolutional neural networks

Multiomic analysis of malignant pleural mesothelioma identifies molecular axes and specialized tumor profiles driving intertumor heterogeneity

A Statistical Learning Take on the Concordance Index for Survival Analysis

Federated learning for predicting histological response to neoadjuvant chemotherapy in triple-negative breast cancer

External control arm analysis: an evaluation of propensity score approaches, G-computation, and doubly debiased machine learning

Deep Learning Allows Assessment of Risk of Metastatic Relapse from Invasive Breast Cancer Histological Slides

FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings

SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning

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

Can machine learning bring cardiovascular risk assessment to the next level? A methodological study using FOURIER trial data