Add to Favourites
To login click here
A team of researchers at the University of Toronto is developing a reinforcement-learning-based system that uses machine-learning algorithms to help clinicians predict medication outcomes and adjust dosage accordingly for patients with speech disfluency. This system could potentially improve patient care by providing low-cost and frequent observations, making it easier to identify if a specific drug is working optimally.