4 papers
SAGE-FM: A lightweight and interpretable spatial transcriptomics foundation model
Xianghao Zhan, Jingyu Xu, Yuanning Zheng +2
Spatial transcriptomics enables spatial gene expression profiling, motivating computational models that capture spatially conditioned regulatory relationships. We introduce SAGE-FM…
Benchmarking Chest X-ray Diagnosis Models Across Multinational Datasets
Qinmei Xu, Yiheng Li, Xianghao Zhan +10
Foundation models leveraging vision-language pretraining have shown promise in chest X-ray (CXR) interpretation, yet their real-world performance across diverse populations and dia…
Prior Knowledge Injection into Deep Learning Models Predicting Gene Expression from Whole Slide Images
Max Hallemeesch, Marija Pizurica, Paloma Rabaey +3
Cancer diagnosis and prognosis primarily depend on clinical parameters such as age and tumor grade, and are increasingly complemented by molecular data, such as gene expression, fr…
Towards a more inductive world for drug repurposing approaches
Jesus de la Fuente, Guillermo Serrano, Uxía Veleiro +8
Drug-target interaction (DTI) prediction is a challenging, albeit essential task in drug repurposing. Learning on graph models have drawn special attention as they can significantl…