Category Research News

AbstractAI techniques are reshaping DNA engineering — from CRISPR guide design and off-target prediction to models that propose novel sequences — and are supporting a renewed drive to use DNA as ultra-dense archival storage. This article summarizes state-of-the-art AI methods…

AbstractDeep learning has transformed how we detect and interpret DNA variation from sequencing data. Modern convolutional and transformer-based models reduce error rates, simplify pipelines, and enable richer genotype–phenotype inferences — but clinical deployment still requires rigorous validation, interpretability and regulatory…