2 papers
cs.LG2026
M-Gen: Interpretable Multimodal Generation of Gene Expression Profiles Using Clinical and Imaging Data
Francesca Pia Panaccione, Carlo Sgaravatti, Marco Venere
Integrating heterogeneous biomedical data, including clinical metadata, histopathology images, and molecular profiles, is crucial for comprehensive disease understanding. However,…
cs.AI2026
GeMM-GAN: A Multimodal Generative Model Conditioned on Histopathology Images and Clinical Descriptions for Gene Expression Profile Generation
Francesca Pia Panaccione, Carlo Sgaravatti, Pietro Pinoli
Biomedical research increasingly relies on integrating diverse data modalities, including gene expression profiles, medical images, and clinical metadata. While medical images and…