Evidence map›Paper›PMID 41372232›Full record

ArticleScientific reports2025

Delay-aware chemotherapy dosing via online critic learning.

Farshad Rahimi, Mahdieh Samadi

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Farshad Rahimi *Faculty of Electrical and Computer Engineering, Sahand University of Technology, Tabriz, Iran. fa_rahimi@sut.ac.ir.
Mahdieh Samadi *Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper proposes a delay-aware adaptive control framework for individualized chemotherapy dosing based on online critic learning. The approach explicitly compensates for pharmacokinetic and pharmacodynamic delays while adapting to patient-specific uncertainties. An online critic network estimates the value function to guide real-time dose adjustments. Simulation results on diverse patient profiles demonstrate effective tumor suppression and toxicity control, highlighting the robustness of the proposed scheme to variations in delay and patient dynamics.

Indexed as

Antineoplastic AgentsNeoplasmsAlgorithmsComputer SimulationDose-Response Relationship, DrugDrug Dosage CalculationsHumansAntineoplastic Agents

Identifiers

PMID41372232
PMCPMC12695902

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.