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PREcision meDICine in Treatment in CardioVascular Disease
Sponsor: Maastricht University Medical Center
Summary
The main goal of PREDICT-CVS is to demonstrate that a personalized, AI-derived biomarker-guided medication treatment algorithm that provides advice to the treating professional is superior to prevent clinical events and improve quality of life (QoL) when compared to patients receiving standard treatment of care. Participants will be randomized into two groups * Group 1 - Standard treatment Participant will receive the usual treatment for heart failure, based on current medical guidelines. * Group 2 - AI-supported treatment The professional will receive a personalized treatment plan generated by the AI program. This plan is based on medical information and biomarkers. The professional can choose whether or not to follow the AI's advice, reasons for not following the AI-based advice will be collected. Participants will visit the outpatient clinic at 1, 2, 3 and 9 months after being randomized.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
430
Start Date
2026-02
Completion Date
2028-06
Last Updated
2026-01-27
Healthy Volunteers
No
Interventions
ASSIST-HF AI- algorithm
AI-derived biomarker-guided treatment algorithm to assist the treating HF professional in treatment decision
Standard of Care (Investigator Choice)
Standard treatment of care for HF
Locations (4)
University Medical Center Groningen
Groningen, Netherlands
Leiden University Medical Center
Leiden, Netherlands
Maastricht University Medical Center
Maastricht, Netherlands
Erasmus Medical Center
Rotterdam, Netherlands