Interpretable Biological AI: BioReason Bridges DNA Models and Language AI for Transparent Genomics

BioReason: When DNA Models Meet Language AI, Biological Reasoning Becomes Interpretable “ This multimodal AI framework achieves seamless integration of DNA sequences and natural language, enabling machines to “reason” about disease mechanisms like biologists. The Bottleneck in Biomedical AI: Black-Box Models and Missing Reasoning Capabilities Genomics researchers face two persistent challenges: 1. The Black Box Dilemma of DNA Foundation Models Models like Evo2 and Nucleotide Transformer demonstrate impressive performance in splice site identification and variant effect prediction through pretraining on massive genomic datasets. Yet they operate as opaque systems—while generating predictions, they cannot explain why a genetic variant causes disease …