Author

Mihály Leiwolf

InsermORCID 0009-0002-1625-3128Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:clinical cohort / trial· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Bénédicte FranckiD· 1 shared Jean‐Baptiste WoillardiD· 1 shared Nicolas GrégoireiD· 1 shared Ombeline KrekounianiD· 1 shared Sophie MagréaultiD· 1 shared Vincent Aranzana‐ClimentiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperPharmacology & Toxicology

Bénédicte FranckORCID

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1 paper

Recent·Most cited

Pharmacology & ToxicologyCPT Pharmacometrics & Systems PharmacologyPeer-reviewedJul 1, 2026

Model Ensembling and Machine Learning Approaches to Predict the First Dose of Amoxicillin in Intensive Care

Mihály Leiwolf, Nicolas Grégoire, Sophie Magréault…·Vincent Aranzana‐Climent

This paper develops and evaluates model ensembling and machine learning approaches to predict the first dose of amoxicillin in intensive care, finding that ensembling and ML outperform standard dosing.

DOI 10.1002/psp4.70296

humanclinical cohort / trial

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