University at Buffalo May 15 2025 A new University at Buffalo-led study outlines how artificial intelligence-powered handwriting analysis may serve as an early detection tool for dyslexia and dysgraphia among young children. The work, presented in the journal SN Computer Science , aims to augment current screening tools which are effective but can be costly, time-consuming and focus on only one condition at a time. It could eventually be a salve for the nationwide shortage of speech-language