For people navigating rare diseases, which are mostly genetic in origin, the search for answers is a gruelling marathon often called the “diagnostic odyssey”.Patients can spend years visiting specialists and undergoing inconclusive tests, while the underlying cause of their condition remains hidden within three billion base pairs of DNA in the human genome.But Artificial intelligence is emerging as a tool to shorten this time frame. Chinese researchers have created an open-source AI system capable of bridging the gap between raw DNA sequences and the world’s vast library of clinical literature to formulate treatment approaches.According to one of its developers, BGI-Research, OneGenome has outperformed general large language models such as DeepSeek-v4 and other traditional gene models in multiple clinical diagnostic and medication guidance tests.Rather than reading DNA sequences, OneGenome is trained to reason. It uses accumulated human medical logic to interpret the clinical consequences of gene mutations.It was developed by integrating Genos – a genomic foundational model released last year that was trained on human genomes to represent diverse global populations – with large language model capabilities.