A machine learning approach to predict daptomycin exposure from two concentrations based on Monte Carlo simulations.

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Bibliographic Details
Title: A machine learning approach to predict daptomycin exposure from two concentrations based on Monte Carlo simulations.
Authors: Codde C; Service de Maladies Infectieuses et Tropicales, CHU Dupuytren, Limoges, France., Rivals F; Service de Pharmacologie, Toxicologie et Pharmacovigilance, CHU Dupuytren, Limoges, France., Destere A; Service de Pharmacologie et Pharmacovigilance, CHU, Nice, France., Fromage Y; Service de Pharmacologie, Toxicologie et Pharmacovigilance, CHU Dupuytren, Limoges, France., Labriffe M; Service de Pharmacologie, Toxicologie et Pharmacovigilance, CHU Dupuytren, Limoges, France.; Inserm, Univ. Limoges, CHU Limoges, Pharmacology & Toxicology, Limoges, France., Marquet P; Service de Pharmacologie, Toxicologie et Pharmacovigilance, CHU Dupuytren, Limoges, France.; Inserm, Univ. Limoges, CHU Limoges, Pharmacology & Toxicology, Limoges, France., Benoist C; Inserm, Univ. Limoges, CHU Limoges, Pharmacology & Toxicology, Limoges, France., Ponthier L; Inserm, Univ. Limoges, CHU Limoges, Pharmacology & Toxicology, Limoges, France., Faucher J-F; Service de Maladies Infectieuses et Tropicales, CHU Dupuytren, Limoges, France., Woillard J-B; Service de Pharmacologie, Toxicologie et Pharmacovigilance, CHU Dupuytren, Limoges, France.; Inserm, Univ. Limoges, CHU Limoges, Pharmacology & Toxicology, Limoges, France.
Source: Antimicrobial agents and chemotherapy [Antimicrob Agents Chemother] 2024 May 02; Vol. 68 (5), pp. e0141523. Date of Electronic Publication: 2024 Mar 19.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: American Society for Microbiology Country of Publication: United States NLM ID: 0315061 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1098-6596 (Electronic) Linking ISSN: 00664804 NLM ISO Abbreviation: Antimicrob Agents Chemother Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1098-6596
DOI:10.1128/aac.01415-23