PREcision meDICine in Treatment in CardioVascular Disease

NCT07369141 · Status: WITHDRAWN · Phase: NA · Type: INTERVENTIONAL

Last updated 2026-04-17

No results posted yet for this study

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.

Conditions

Interventions

OTHER

ASSIST-HF AI- algorithm

AI-derived biomarker-guided treatment algorithm to assist the treating HF professional in treatment decision

OTHER

Standard of Care (Investigator Choice)

Standard treatment of care for HF

Sponsors & Collaborators

  • University Medical Center Groningen

    collaborator OTHER
  • Maastricht University

    collaborator OTHER
  • Maastricht University Medical Center

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
OTHER
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-02-28
Primary Completion
2028-03-31
Completion
2028-06-30

Countries

  • Netherlands

Study Locations

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Entities

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07369141 on ClinicalTrials.gov