Modeling outcomes in patients with acquired brain injuries
Official title: Modeling Trajectories of Functional Outcome in Patients With Severe Acquired Brain Injuries Using a Non-Linear Dynamic Evolution Approach.
Run by Istituto per la Ricerca e l'Innovazione Biomedica · NCT06162091 · Data updated 2026-11-12
This study is testing how artificial intelligence can help predict recovery for people with acquired brain injuries to improve their rehabilitation.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 190 (estimated) |
| Sponsor | Istituto per la Ricerca e l'Innovazione Biomedica Academic / other |
| Locations | 1 site (Messina) |
| Status | Recruiting |
| Started | January 10, 2024 |
| Main results expected | December 31, 2024 |
| Study ends | May 31, 2025 |
| Registry record updated | May 1, 2025 |
| Trial ID | NCT06162091 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates include adults aged 18 and older who have been diagnosed with severe acquired brain injuries within three months of the event.
✕Probably not a fit
Patients with pre-existing disabling neurological or orthopedic conditions and psychiatric disorders may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study focuses on patients with acquired brain injuries (ABI) to predict recovery trajectories using artificial intelligence algorithms. By analyzing various demographic, clinical, and psychosocial factors, the study aims to improve the understanding of recovery patterns and enhance rehabilitation strategies. Data will be collected from patients diagnosed with severe ABI within three months of the injury, allowing for a comprehensive assessment of recovery potential. The goal is to provide clinicians with better predictive tools for patient outcomes.
Why it matters
Potential benefit: If successful, this study could lead to more personalized and effective rehabilitation strategies for patients with acquired brain injuries.
How similar studies have gone: Other studies utilizing artificial intelligence for predicting outcomes in brain injuries have shown promise, indicating that this approach may yield valuable insights.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * patients with clinical diagnosis of severe acquired brain injury of different etiology (traumatic, hemorrhagic vascular,ischemic vascular, anoxic, infectious, other etiology * interval since the acute occurrence that led to the clinical condition of ≤3 months duration * age of 18 years or older * informed consent signed by family member/caregiver/supporting caregiver Exclusion Criteria: * Positive remote medical history of pre-existing disabling neurological or orthopedic conditions and psychiatric disorders
Where it's running
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Institute for Biomedical Research and Innovation (IRIB) - National Research Council (CNR)
Messina, Italy Recruiting
Study contacts
- Principal investigator: Antonio Cerasa — Institute for Biomedical Research and Innovation (IRIB) - National Research Council (CNR)
- Study coordinator: Antonio Cerasa
- Email: antonio.cerasa@irib.cnr.it
- Phone: +393339633511
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
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This study is testing if biofeedback training can help people with vision loss from brain injuries see better and improve their quality of life.
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This study is trying to understand how brain injuries from trauma or lack of oxygen affect kids and young adults under 20, to find better ways to help them.
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Prebiotic treatment to improve gut health and brain function after injury
This study is testing if a type of dietary fiber called Inulin can improve gut health and help reduce fatigue and cognitive problems in people recovering from brain injuries.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.