Actively Recruiting
Design and Validation of a Generative AI and Propensity Score Matching Model for the VEN-DEC Phase II Study in Elderly AML Eligible for Allo-SCT; Evaluation of an Exploratory Approach Respect to a Randomized Phase III Trial
Led by Azienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia · Updated on 2026-04-30
1941
Participants Needed
1
Research Sites
40 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
To better delineate the contribution of VEN-DEC to the treatment of AML patients aged between ≥ 60 and \< 75 years and deemed fit for Allo-HSCT, real-world data on a patient-level basis will be collected and utilized to generate a matched control cohort of same AML patients treated with intensive chemotherapy. In addittion, to further validate the efficacy of the VEN-DEC treatment approach in elderly AML patients, an advanced generative AI model will be constructed and trained using the historical cohort data. The AI model aims to simulate outcomes based on the standard
CONDITIONS
Official Title
Design and Validation of a Generative AI and Propensity Score Matching Model for the VEN-DEC Phase II Study in Elderly AML Eligible for Allo-SCT; Evaluation of an Exploratory Approach Respect to a Randomized Phase III Trial
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patients with AML treated with cht (historical cohort) or VenDec (experimental cohort)
You will not qualify if you...
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 1 location
1
USD TMO Adulti
Brescia, Italy, Italy, 25100
Actively Recruiting
Research Team
D
Domenico Russo, MD
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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