Development of a Dynamic Counterfactual Risk Stratification Strategy for Newly Diagnosed Patients With AML Treated With Venetoclax and Azacitidine

The proposed ML strategy addresses a variety of RWD considerations and is readily tunable through coding and parameter updates for different contexts and use case needs. This strategy represents a novel approach to developing more effective RMs for AML and possibly other diseases.

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Publication Details

Journal
JCO Clinical Cancer Informatics
Published
2025-12-01
DOI
https://doi.org/10.1200/cci-24-00308
Primary Topic
Acute Myeloid Leukemia Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Development of a Dynamic Counterfactual Risk Stratification Strategy for Newly Diagnosed Patients With AML Treated With Venetoclax and Azacitidine

M. Ransom, Udayan Mayur Kulkarni, Michael Boyiadzis, William Showers et al.
JCO Clinical Cancer Informatics
Acute Myeloid Leukemia Research
article

Development of a Dynamic Counterfactual Risk Stratification Strategy for Newly Diagnosed Patients With AML Treated With Venetoclax and Azacitidine

M. Ransom, Udayan Mayur Kulkarni, Michael Boyiadzis, William Showers, Justin Dale, Nazmul Islam, Krysta L. Engel, Craig T. Jordan, Brett M. Stevens, Jamie S. Reuben, Sarah E. Staggs, Maura Gasparetto, Jayesh Desai, Clayton A. Smith, Jingjing Zhang, Karan Sapiah, Frank R. Markson, Lezhou Wu, James W. Coates
article en

Abstract

The proposed ML strategy addresses a variety of RWD considerations and is readily tunable through coding and parameter updates for different contexts and use case needs. This strategy represents a novel approach to developing more effective RMs for AML and possibly other diseases.

JCO Clinical Cancer InformaticsVol. 9(9)
The Medical Center of Aurora (US), University of Colorado Anschutz Medical Campus (US)
Openalex Percentile: Top 50%
Acute Myeloid Leukemia Research
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Development of a Dynamic Counterfactual Risk Stratification Strategy for Newly Diagnosed Patients With AML Treated With Venetoclax and Azacitidine — M. Ransom, Udayan Mayur Kulkarni, et al. · JCO Clinical Cancer Informatics (2025) | TGRS Research Map | TGRS