University of California, Davis

Intracortical speech brain-to-text decoder jointly pretrained across six BCI users, with over 50% lower relative word error than per-user models.

Plant immune receptor-ligand classifier that scores MAMP epitope immunogenicity from sequence, reaching 73% accuracy on a held-out test set.

Cell-free RNA language model for liquid biopsy, fusing RNA sequence embeddings with cfRNA abundance across 306 billion pretraining tokens.

Protein language model fine-tuned on yeast-display directed evolution data to score rice immune receptor variants for fungal effector binding.