Model-based optimal AML consolidation treatment
Felix Jost, Enrico Schalk, Daniela Weber, Hartmut Doehner, Thomas, Fischer, Sebastian Sager

TL;DR
This study developed and validated a comprehensive mathematical model to simulate and optimize AML consolidation therapy, aiming to improve treatment outcomes and reduce side effects.
Contribution
The paper introduces a novel integrated PK/PD model for AML treatment that combines effects on WBCs, leukemic blasts, and drug pharmacokinetics, enabling optimized therapy schedules.
Findings
The model accurately predicts WBC nadirs during therapy.
Optimized schedules reduce leukemic blasts below 5%.
Median 4.2-fold increase in WBC count at nadir.
Abstract
Neutropenia is an adverse event commonly arising during intensive chemotherapy of acute myeloid leukemia (AML). It is often associated with infectious complications. Mathematical modeling, simulation, and optimization of the treatment process would be a valuable tool to support clinical decision making, potentially resulting in less severe side effects and deeper remissions. However, until now, there has been no validated mathematical model available to simulate the effect of chemotherapy treatment on white blood cell (WBC) counts and leukemic cells simultaneously. We developed a population pharmacokinetic/pharmacodynamic (PK/PD) model combining a myelosuppression model considering endogenous granulocyte-colony stimulating factor (G-CSF), a PK model for cytarabine (Ara-C), a subcutaneous absorption model for exogenous G-CSF, and a two-compartment model for leukemic blasts. This model…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
