Amy Bucher, Ph.D. | Oct 29, 2024 | Behavioral Science, Blog, Digital Health, Health Equity
Furniture and clothing are two obvious examples of why a “one-size-fits-all” design approach rarely works. But perhaps the best example is healthcare, where every patient or member has their own conditions and emotions. That’s why designing for health equity is...
Marten den Haring, Ph.D., MSc | Oct 8, 2024 | Artificial Intelligence, Behavioral Science, Blog, Digital Health
Patients checking their symptoms.Payers answering questions about plan coverage.Providers prompting patients to complete intake forms via automated reminder. AI chatbots in healthcare offer up a lot of answers. But, they also beg a lot of questions — namely around...
Christopher Symons, Ph.D. | Sep 3, 2021 | Artificial Intelligence, Behavioral Science, Blog
Lirio’s Behavioral Reinforcement Learning Lab (BReLL) recently published a paper describing a new approach, the Limited Data Estimator, for comparing reinforcement learning policies using limited historical data.
Christopher Symons, Ph.D. and Clayton Webster, Ph.D. | Jul 1, 2020 | Artificial Intelligence, Blog, Digital Health
Lirio’s AI Research team recently developed a novel adaptive stochastic gradient-free (ASGF) approach for solving some of the most difficult optimization challenges in machine learning. This innovative optimization algorithm, which is simple to implement and does not...
