arXiv:2604.25374v1 Announce Type: cross
Abstract: textbfBackground: Dutch medical corpora are scarce, limiting NLP development. \ textbfMethods: We translated English datasets, identified medical text in generic corpora, and extracted open Dutch medical resources. \ textbfResults: The resulting corpus comprises $pm$ 35 billion tokens across the medical domain in about 100 million documents, freely available on Hugging Face. \ textbfConclusion: This work establishes the first large-scale Dutch medical language corpus for pre-training and downstream NLP tasks.
On a Keller-Segel type equation to model Brain Microvascular Endothelial Cells growth’s patterns
arXiv:2604.25180v1 Announce Type: cross Abstract: This article presents a partial differential equation (PDE) of Keller-Segel (KS) type that reproduces patterns commonly observed during the growth


