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Hakim Benkirane

Institute: Université Paris-Saclay

Date: March 13, 2025

Title: Advancing multimodal integration in precision oncology: Bridging multi-omics and histopathology

Abstract: Integrating multi-omics data with histopathology is a rapidly evolving frontier in precision oncology, offering unprecedented insights into tumor biology and patient-specific treatment strategies. However, this integration presents significant challenges, including data heterogeneity, missing modalities, and the need for scalable, interpretable models. In this seminar, we will first outline the state of multimodal integration in oncology, discussing key computational approaches and their limitations. We will then highlight recent advances being developed in our lab, including novel AI-driven methods for robust multimodal fusion, cross-modal and improved predictive modeling. Our work aims to enhance biomarker discovery and refine patient stratification.

Primary Sidebar

The DMIC Lab has been awarded a Computational Oncology Grant to develop models to forecast the lung's functional response to cancer radiotherapy.

The DMIC Lab and 4D Medical are collaborating on a sponsored research project to further develop image processing methods for quantifying lung health.

Dynamic Lung Compliance Imaging Method published in PMB

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