Dario set out to determine the effectiveness of deploying adapted machine learning to analyze and personalize user journeys in its DTx posture training solution.
DarioHealth, a provider of global digital therapeutics (DTx), announced new research published in Pain Reports. Conducted in partnership with the Integrative Pain Laboratory, School of Public Health at the University of Haifa, the research study examined personalized efficacy of DTx for pain management, linking the reduction of back pain for users in a digital posture training program with the personalization of user journeys adapting machine learning models.
Dario first analyzed data from 3,610 users who experienced significant reductions in back pain reported after three weeks using the company's posture training program with sustained improvement. Users' profile moderated time fluctuations of pain levels and posture quality over time. The data were then analyzed to investigate how the use of machine learning can account for unique individual needs. The results of the study offer a framework to help understand the efficacy of digital therapeutics in helping individuals manage pain.
"Back pain is a common condition that affects a majority of adults at some point in their life, and early research on the impact of posture biofeedback training technology as a means to improve pain is promising. Our latest research helps explain the role of personalization in digital therapeutics and how we can use biofeedback data and machine learning to optimize user care, drive efficacy and meaningful results for users," said Yifat Hershcovitz, PhD, Vice President of Clinical and Scientific Affairs at Dario.
Dario Publishes New Research Demonstrating Digital Personalization of Pain Management with Adapted Machine Learning. NEW YORK, March 14, 2023 /PRNewswire/