Aziz Fouché

EVA predicts drug responses in immunology and inflammation diseases using a pre-trained foundation model, improving early trial outcome prediction and guiding drug development strategies.

transmorph provides a flexible framework for single-cell data integration, enabling complex pipelines and demonstrating its utility in various integration tasks.

The paper develops a simplified cell cycle model to analyze single-cell data and predict cell line doubling time from trajectory length.

This paper introduces an unsupervised method to improve dataset integration by adjusting sample weights before optimal transport, showing better performance on single-cell biology data.