New Clinical Study Published in the Journal of Alzheimer's Disease Reports Promising Results for Rubato's Personalized Music Intervention

Rubato is pleased to announce the publication of a peer-reviewed clinical study in the Journal of Alzheimer's Disease, evaluating its biometrically personalized music-based intervention for people living with mild dementia.

The study, conducted by researchers affiliated with Boston University and St. Elizabeth's Medical Center, found statistically significant improvements in anxiety and depressive symptoms among participants receiving Rubato's personalized music intervention compared with those receiving standard care.

Key Findings

The 12-week randomized controlled trial included 20 participants who completed the study, with 10 assigned to the Rubato intervention and 10 to standard care.

Participants using Rubato listened to personalized music for 30 minutes daily, with music selection informed by individual preferences, musical characteristics, and physiological responses measured through a smartwatch.

The study reported:

• Anxiety: Statistically significant improvement compared with standard care (p = 0.037). Anxiety scores improved in 80% of Rubato participants, compared with 30% of controls.
• Depression: Statistically significant improvement compared with standard care (p = 0.028). Depression scores improved in 70% of Rubato participants, compared with 20% of controls.
• Other outcomes: Differences in cognition, memory, and quality of life were not statistically significant.

These preliminary findings suggest that personalized, technology-enabled music interventions may offer a promising approach to supporting emotional well-being in people living with dementia.

Advancing Personalized Music-Based Care

Rubato combines musical preferences, song characteristics, and physiological response data to personalize music selections for each individual.

Rather than relying on static playlists, the platform is designed to learn from individual responses and refine music recommendations over time.

Building on this approach, Rubato is exploring clinical context as an additional dimension of personalization, recognizing that the most appropriate music intervention may depend not only on the individual, but also on the care activity and therapeutic objective—for example, supporting participation in rehabilitation, reducing distress during personal care, or promoting relaxation.

The publication represents an important milestone in Rubato's ongoing efforts to build clinical evidence for personalized music-based care.

It also complements Rubato's broader research program, including an NIH-supported collaboration with Brown University investigating responsive music-based care. This research explores how continuous physiological monitoring could identify potential signs of emerging behavioral dysregulation and notify care staff, who can then decide whether to initiate a personalized music intervention at the appropriate moment.

Building on the Evidence

The researchers emphasize that the findings are preliminary, given the small sample size, and recommend larger studies with longer follow-up.

Further research is also needed to determine the specific contribution of algorithmic personalization compared with other music-based interventions.

Rubato remains committed to advancing this research and working with academic and clinical partners to explore how personalized music can be integrated into healthcare delivery.

Read the Published Study

Sangam M., Irvine R.E., Sunda M., Grant J., Vaou O., and Hohler A.D. (2026).

Effects of an Algorithmically Enhanced Personalized Music-Based Intervention in Patients with Dementia.

Journal of Alzheimer's Disease.

Read the publication on the journal's website (opens in a new tab)

DOI: 10.1177/13872877261487385