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Study identifier: NCT07420790 Synced from ClinicalTrials.gov · July 29, 2026
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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

Condition: Acute Myeloid Leukemia  ·  Sponsor: Azienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia

PhaseN/A
Planned participants1941
Who can joinAll sexes, 18 Years to 75 Years
Healthy volunteersNo

About this study

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

This description comes directly from the study's public registry record.

Talk to the study team

Domenico Russo, MD  ·  00390303996811  ·  domenico.russo@unibs.it

Always discuss trial participation with your own doctor first.

Locations (1)

USD TMO AdultiBrescia, Italy, ItalyRecruiting

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Source record: clinicaltrials.gov/study/NCT07420790