| Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy LM Fleuren, TLT Klausch, CL Zwager, LJ Schoonmade, T Guo, ... Intensive care medicine 46, 383-400, 2020 | 553 | 2020 |
| External evaluation of population pharmacokinetic models of vancomycin in large cohorts of intensive care unit patients T Guo, RM van Hest, LF Roggeveen, LM Fleuren, PJ Thoral, RJ Bosman, ... Antimicrobial agents and chemotherapy 63 (5), 10.1128/aac. 02543-18, 2019 | 58 | 2019 |
| Right dose, right now: bedside, real-time, data-driven, and personalised antibiotic dosing in critically ill patients with sepsis or septic shock—a two-centre randomised … LF Roggeveen, T Guo, LM Fleuren, R Driessen, P Thoral, RM Van Hest, ... Critical care 26 (1), 265, 2022 | 49 | 2022 |
| Right dose right now: bedside data-driven personalized antibiotic dosing in severe sepsis and septic shock—rationale and design of a multicenter randomized controlled … LF Roggeveen, LM Fleuren, T Guo, P Thoral, HJ de Grooth, EL Swart, ... Trials 20, 1-13, 2019 | 36 | 2019 |
| Transatlantic transferability of a new reinforcement learning model for optimizing haemodynamic treatment for critically ill patients with sepsis L Roggeveen, A El Hassouni, J Ahrendt, T Guo, L Fleuren, P Thoral, ... Artificial Intelligence in Medicine 112, 102003, 2021 | 34 | 2021 |
| Clinically relevant pharmacokinetic knowledge on antibiotic dosing among intensive care professionals is insufficient: a cross-sectional study LM Fleuren, LF Roggeveen, T Guo, P Waldauf, PHJ van der Voort, ... Critical Care 23, 1-9, 2019 | 31 | 2019 |
| Right dose, right now: development of autokinetics for real time model informed precision antibiotic dosing decision support at the bedside of critically ill patients LF Roggeveen, T Guo, RH Driessen, LM Fleuren, P Thoral, ... Frontiers in pharmacology 11, 646, 2020 | 29 | 2020 |
| Antitumor effect of axitinib combined with dopamine and PK-PD modeling in the treatment of human breast cancer xenograft Y Ma, S Wang, Y Ren, J Li, T Guo, W Lu, T Zhou Acta Pharmacologica Sinica 40 (2), 243-256, 2019 | 28 | 2019 |
| Between-trial heterogeneity in ARDS research J Juschten, PR Tuinman, T Guo, NP Juffermans, MJ Schultz, SA Loer, ... Intensive care medicine 47, 422-434, 2021 | 19 | 2021 |
| Optimizing predictive performance of bayesian forecasting for vancomycin concentration in intensive care patients T Guo, RM van Hest, LB Zwep, LF Roggeveen, LM Fleuren, RJ Bosman, ... Pharmaceutical Research 37, 1-9, 2020 | 19 | 2020 |
| Predictions of bedaquiline and pretomanid target attainment in lung lesions of tuberculosis patients using translational minimal physiologically based pharmacokinetic modeling K Mehta, T Guo, PH Van Der Graaf, JGC van Hasselt Clinical Pharmacokinetics 62 (3), 519-532, 2023 | 12 | 2023 |
| Pooled population pharmacokinetic analysis for exploring ciprofloxacin pharmacokinetic variability in intensive care patients T Guo, A Abdulla, BCP Koch, JGC van Hasselt, H Endeman, JA Schouten, ... Clinical Pharmacokinetics 61 (6), 869-879, 2022 | 11 | 2022 |
| Virtual patient simulation using copula modeling LB Zwep, T Guo, T Nagler, CAJ Knibbe, JJ Meulman, JGC van Hasselt Clinical Pharmacology & Therapeutics, 2023 | 9 | 2023 |
| Modelling inflammatory biomarker dynamics in a human lipopolysaccharide (LPS) challenge study using delay differential equations F Liu, LBS Aulin, T Guo, EHJ Krekels, M Moerland, PH van der Graaf, ... British Journal of Clinical Pharmacology 88 (12), 5420-5427, 2022 | 8 | 2022 |
| Identification of high‐dimensional omics‐derived predictors for tumor growth dynamics using machine learning and pharmacometric modeling LB Zwep, KLW Duisters, M Jansen, T Guo, JJ Meulman, PJ Upadhyay, ... CPT: pharmacometrics & systems pharmacology 10 (4), 350-361, 2021 | 8 | 2021 |
| Why we should sample sparsely and aim for a higher target: lessons from model‐based therapeutic drug monitoring (TDM) of vancomycin in intensive care patients T Guo, RM van Hest, LM Fleuren, LF Roggeveen, RJ Bosman, ... British Journal of Clinical Pharmacology, 2020 | 7* | 2020 |
| Predictions of bedaquiline central nervous system exposure in patients with tuberculosis meningitis using physiologically based pharmacokinetic modeling K Mehta, P Balazki, PH van der Graaf, T Guo, JGC van Hasselt Clinical Pharmacokinetics 63 (5), 657-668, 2024 | 4 | 2024 |
| Generation of realistic virtual adult populations using a model-based copula approach Y Guo, T Guo, CAJ Knibbe, LB Zwep, JGC van Hasselt Journal of Pharmacokinetics and Pharmacodynamics, 1-12, 2024 | 3 | 2024 |
| CNS Viral Infections—What to Consider for Improving Drug Treatment: A Plea for Using Mathematical Modeling Approaches M Sun, ML Manson, T Guo, ECM de Lange CNS drugs 38 (5), 349-373, 2024 | 3 | 2024 |
| Model‐based dose optimization framework for bedaquiline, pretomanid and linezolid for the treatment of drug‐resistant tuberculosis K Mehta, T Guo, PH Van der Graaf, JGC van Hasselt British Journal of Clinical Pharmacology 90 (2), 463-474, 2024 | 3 | 2024 |
Paul WG ElbersIntensivist, Amsterdam UMCZweryfikowany adres z amsterdamumc.nl
