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Behavioral Interventions Combining AI/ML and Personalized Medicine to Reduce Cardiovascular Risk - Randomized Controlled Trial

Behavioral Interventions Combining AI/ML and Personalized Medicine to Reduce Cardiovascular Risk - Randomized Controlled Trial

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07725250
Enrollment
3000
Registered
2026-07-24
Start date
2026-04-10
Completion date
2027-04-30
Last updated
2026-07-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Hypertension

Keywords

lifestyle recommendations, AI/ML, personalized medicine

Brief summary

This study evaluates a new digital health program that uses artificial intelligence (AI) to help patients lower their blood pressure through personalized lifestyle recommendations. The program collects information about patients' daily habits and blood pressure readings, then uses AI to suggest lifestyle changes that may work best for each person. The study will measure how well this program works across different groups of patients and aims to improve the program design to make it more effective and easier to use. The program will be offered to diverse patients at UC San Diego Health, including people of different ages, genders, races/ethnicities, and economic backgrounds, as part of their regular healthcare services.

Interventions

OTHERDigital heath tool

Digital health tool of patient-tailored lifestyle recommendations for blood pressure maintenance. Current "simplified" remote patient monitoring program referred to as "P1000." Requires daily blood pressure readings only.

OTHERLow-intensity recommendation

AI-enhanced lifestyle and health recommendations provided weekly. This requires blood pressure readings, as well as passive readings, (e.g. sleep, movement), and a daily questionnaire.

OTHERHigh-intensity recommendation

AI-enhanced lifestyle and health recommendations provided weekly, plus daily reminders. This requires blood pressure readings, as well as passive readings, (e.g. sleep, movement), and a daily questionnaire.

Sponsors

National Bureau of Economic Research, Inc.
Lead SponsorOTHER
National Institute on Aging (NIA)
CollaboratorNIH
University of California, San Diego
CollaboratorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Stage I-II hypertension (average clinical readings of blood pressure over 140/90) * Adequate decisional capacity to make a choice about participating in this research study * Fully ambulatory (not requiring assistive device such as a cane, wheelchair, walker, etc.)

Exclusion criteria

* Pregnancy * Under age 18 years * Institutionalized individuals who are likely to be vulnerable * Dependent on supplemental oxygen

Design outcomes

Primary

MeasureTime frame
Systolic blood pressure measurement6 months

Countries

United States

Contacts

CONTACTAmanda Walker
Alw038@health.ucsd.edu617-588-1445
CONTACTRoss Graham
rograham@health.ucsd.edu
PRINCIPAL_INVESTIGATORItzik Fadlon

National Bureau of Economic Research, Inc.

PRINCIPAL_INVESTIGATORMing Tai-Seale

University of California, San Diego

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jul 25, 2026