Optimizing Fixed‐Duration Ven‐I Regimen in CLL: Expert Insight and AI Comparison

20260 citationsJournal Article

Authors

Vanessa Innao · Azienda di Rilievo Nazionale ed Alta Specializzazione

Amalia Figuera · Policlinico Universitario di Catania

E Cotzia · Ospedali Riuniti Umberto I

L Caruso · Policlinico Universitario di Catania

Giuseppe Mineo · Fondazione Vincenzo Pansadoro

Valentina Martina · Fondazione Vincenzo Pansadoro

Giuseppa Penna

Abstract

No new datasets were generated or analyzed for this study. Data supporting the findings of this article are derived from expert consensus responses and illustrative AI outputs, all of which are described within the manuscript. The peer review history for this article is available at https://www.webofscience.com/api/gateway/wos/peer-review/10.1002/hon.70181.

Topics & Keywords

Chronic Lymphocytic Leukemia Research Renal Diseases and Glomerulopathies Medication Adherence and Compliance

Publication Details

Published in: Hematological Oncology

Volume 44, Issue 2, pp. e70181-e70181

DOI: 10.1002/hon.70181

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Optimizing Fixed‐Duration Ven‐I Regimen in CLL: Expert Insight and AI Comparison

Authors

Abstract

Topics & Keywords

Publication Details