Raquel Norel, Michele Merler, Pavitra Modi
This study proposes using smartphone speech analysis integrated with Relational Graph Transformers for continuous monitoring of cognitive symptoms in patients with rare neurological diseases, showing promise in phenylketonuria (PKU) cases.
Researchers are developing a new way to monitor cognitive symptoms in patients with rare neurological diseases using smartphone technology. By analyzing speech patterns with advanced AI models called Relational Graph Transformers, they aim to detect cognitive issues that traditional tests might miss. In a proof-of-concept study with patients who have phenylketonuria (PKU), they found that speech analysis could predict changes in patients' conditions more effectively than standard cognitive tests. This approach could lead to earlier detection of problems and more personalized care for patients worldwide.
