EXAONE Path 2.5

Multi-omics pathology foundation model integrating whole slide images with genomic, epigenetic, and transcriptomic data via multimodal SigLIP loss and Fragment-aware RoPE. Outperforms larger models like Microsoft GigaPath in cancer detection despite being ~50M parameters.