BC-LLM is a novel procedure that integrates Large Language Models into a Bayesian framework for concept discovery to achieve better predictive performance, converge faster to relevant concepts, and provide rigorous uncertainty quantification.

BioReason introduces a novel DNA-LLM architecture where the LLM directly processes genomic information, achieving superior, interpretable multi-step biological reasoning and accelerating mechanistic discovery.

We present the largest pancreatic tumor dataset and will make it public benchmarks.