AI-generated treatment recommendations for precision oncology
Official title: Eine Nichtunterlegenheitsstudie zu KI-generierten, Personalisierten Therapieempfehlungen für Die Präzisionsmedizin (AI-PRIME)
Run by Charite University, Berlin, Germany · NCT07897110 · Data updated 2026-11-12
A non-interventional study tests whether AI-generated treatment options for advanced solid tumors align with what doctors would personally recommend.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 191 (estimated) |
| Sponsor | Charite University, Berlin, Germany Academic / other |
| Locations | 1 site (Berlin) |
| Status | Recruiting |
| Started | September 1, 2026 |
| Main results expected | April 1, 2027 |
| Study ends | July 1, 2027 |
| Registry record updated | November 5, 2026 |
| Trial ID | NCT07897110 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults (≥18 years) with advanced solid tumors, ECOG 0-1, and a planned comprehensive molecular tumor analysis.
✕Probably not a fit
Patients with hematologic cancers or those unable to consent 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 uses local AI models to analyze comprehensive molecular tumor profiles and generate potential treatment options. The AI-generated options are then compared to actual personalized therapy recommendations to see if they are non-inferior. Eligible participants are adults with advanced solid tumors, good performance status (ECOG 0-1), and a planned comprehensive molecular analysis. The study is led by Charité – Universitätsmedizin Berlin with no listed collaborators and takes place at Charité in Berlin.
Why it matters
Potential benefit: If successful, AI-generated recommendations could support physicians by offering consistent, data-driven treatment options alongside standard care.
How similar studies have gone: Similar approaches using AI to assist oncology decision-making have shown promise, though this specific non-interventional comparison is relatively novel.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * advanced solid tumor * \>=18years * ECOG 0-1 * comprehensive molecular tumor analysis planned Exclusion Criteria: * lack of capacity to consent * hematological neoplasm
Where it's running
-
Charité - Universitätsmedizin Berlin
Berlin, Germany Recruiting
Study contacts
- Study coordinator: Damian T Rieke, MD
- Email: cccc@charite.de
- Phone: +4930450 564 222
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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.