2 papers
cs.LG2026
Novel Knowledge-Guided Generative Methods for Synthetic Transcriptomic Data
Francesca Pia Panaccione, Sofia Mongardi, Marco Masseroli +1
As biomedical research increasingly relies on data-intensive tools, the quality and utility of datasets are critical. Challenges such as imbalances, biases, and ethical or legal co…
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…