Clinical trial Recruiting at 1 site Observational Ages 18 and up

Optimizing risk prediction after a heart attack (ORACLE)

Official title: Optimize Risk Prediction After Myocardial Infarction Through Artificial Intelligence and Multidimensional Evaluation: The ORACLE Study

Run by Fundación Pública Andaluza para la Investigación de Málaga en Biomedicina y Salud · NCT06993415 · Data updated 2026-11-12

This project will try to use wearable data, blood tests, imaging, and AI to better predict bleeding and repeat heart events in people who've had a heart attack and are at high risk.

Quick facts

Study typeObservational
Ages18 Years and up
SexAll
Enrollment750 (estimated)
SponsorFundación Pública Andaluza para la Investigación de Málaga en Biomedicina y Salud
Academic / other
Locations1 site (Málaga, Málaga)
StatusRecruiting
StartedJune 2025
Main results expectedFebruary 2028
Study endsFebruary 2028
Registry record updatedJune 10, 2025
Trial IDNCT06993415 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Ideal candidates are people recently hospitalized for ST‑elevation or non‑ST‑elevation myocardial infarction or unstable angina who underwent invasive management and meet at least two predefined high‑risk criteria (for example age >65, diabetes, multivessel disease, chronic kidney disease, prior stroke or prior MI).

Probably not a fit

Patients without high‑risk features, those not treated invasively, or those with severe thrombocytopenia or other conditions that preclude follow‑up monitoring are unlikely to receive direct benefit from the predictive models.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

ORACLE is an observational study enrolling patients hospitalized for myocardial infarction who undergo invasive management and meet predefined high‑risk criteria. The study collects multidimensional data including wearable device signals, blood biomarkers, behavioral patterns, and non‑invasive imaging, linked to clinical outcomes. Advanced machine learning and AI will be applied to discover 'computational biomarkers' that predict future ischemic and bleeding events occurring in or out of hospital. The aim is to improve current risk scores and support safer, more personalized long‑term antithrombotic decisions.

Why it matters

Potential benefit: If successful, the approach could provide clinicians with more accurate personalized estimates of bleeding and ischemic risk to guide safer long‑term antithrombotic therapy.

How similar studies have gone: Similar efforts combining wearable signals, biomarkers, imaging, and AI for cardiovascular risk prediction are emerging and have shown early promise, but broad external validation is still limited.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

* Patients with Myocardial Infarction (i.e. hospitalization for ST- segment elevated, non-ST-segment elevated myocardial infarction or unstable angina) undergoing invasive management and at high risk of clinical events (i.e. presence of at least two of these high risk criteria: age \>65 years, diabetes mellitus, multivessel disease, peripheral artery disease, chronic kidney disease, prior stroke anytime or prior TIA in the last 6 months, prior MI, complex PCI, Prior PCI/CABG, heart failure, BMI\>27, anticipated long term use of an oral anticoagulant, haemoglobin less than 11g/dl, spontaneous bleeding requiring hospitalization or transfusion in the past 12 months, bleeding diathesis\* active malignancy other than skin, previous spontaneous intracranial hemorrhage).

  * Systemic conditions associated with an increased bleeding risk (e.g. haematological disorders, including a history of or current thrombocytopaenia defined as a platelet count \<100,000/mm3 (\<100 x 10\^9/L), or any known coagulation disorder associated with increased bleeding risk.

Exclusion Criteria:

* Age \< 18 years
* Low life expectancy (\<1 year)
* Pregnant or breastfeeding women
* Evidence at coronary angiography of non-significant coronary artery disease (\<30% in the left main stem or \<50% in the other coronary segments)
* Subject belongs to a vulnerable population (per investigator's judgment), subject unable to read or write, or other conditions that unable the patient to fully comprehend and comply to the study procedures as per investigator's judgement

Where it's running

  • Hospital Universitario Virgen de la Victoria
    Málaga, Málaga, Spain
    Recruiting

Study contacts

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How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.