AI Deciphers Non-Coding DNA’s ‘Code,’ Identifying Changes That Regulate Gene Expression
It’s increasingly becoming clear that non-coding DNA, which constitutes a large portion of our genome, functions as ‘switches’ that turn genes on and off. According to IEEE Spectrum, deep learning models are demonstrating the ability to accurately decode the regulatory effects of DNA changes.
This innovative AI tool enables the identification of how alterations in non-coding DNA sequences, whose functions were previously unclear, can increase disease risk or impact biological processes. This holds promise for elucidating the causes of genetic diseases and developing novel therapeutic approaches.
Specifically, the AI can distinguish between numerous potential genomic variants to identify ‘meaningful’ changes that actually regulate gene expression. This technology is poised to be a significant step towards realizing personalized medicine.
This article was generated by Gemini AI as part of the automated news generation system.