University of Helsinki

Transformer that classifies tumour types and subtypes from somatic variants in whole-genome and whole-exome data, with auto-downloading checkpoints.

RNA-small molecule binding affinity prediction from RNA sequence and compound SMILES, pairing a 56M-parameter RNA language model with ChemBERTa-2.

Spot detection and quantification in 5D fluorescence microscopy. Pretrained 2D and 3D U-Nets segment foci, then Gaussian fitting measures each one.

Self-supervised XCiT encoders for prostate histopathology, pretrained on 48 million tissue tiles so that features cluster by histological pattern.