Results 191 to 200 of about 9,759 (265)

Oseltamivir drug‐disease modelling in infants with influenza virus infection

British Journal of Clinical Pharmacology, EarlyView.
Abstract Aims Oseltamivir is a commonly used neuraminidase inhibitor for treatment of influenza infection, but little data exist regarding concentration‐response relationships. Methods Pharmacokinetic (PK) and viral dynamic data from an earlier NIAID Collaborative Antiviral Study Group trial in paediatric patients with influenza from 0–23 months of age
Kun Wang, David W. Kimberlin, Richard J. Whitley, Edward P. Acosta, For the National Institute of Allergy and Infectious Diseases Collaborative Antiviral Study Group   +4 more
wiley   +1 more source

Comparing Bayesian estimation and structural-after-measurement approaches for structural equation models with latent interactions and complex data structures. [PDF]

Behav Res Methods
Cox K, Kelcey B.
europepmc   +1 more source

Relationship between continuous infusion meropenem PK/PD target attainment and C‐reactive protein dynamics in onco‐haematologic patients with febrile neutropenia

British Journal of Clinical Pharmacology, EarlyView.
Aim Meropenem is a second‐line antimicrobial agent in the treatment of febrile neutropenia in onco‐haematological patients. A population pharmacokinetic/pharmacodynamic (PK/PD) analysis for assessing the relationship between meropenem exposure and C‐reactive protein (C‐RP) over time was conducted.
Chun Liu, Pier Giorgio Cojutti, J. G. Coen van Hasselt, Michele Bartoletti, Maddalena Giannella, Pierluigi Zinzani, Pierluigi Viale, Federico Pea   +7 more
wiley   +1 more source

New robust estimator for handling outliers and multicollinearity in gamma regression model with application to breast cancer data. [PDF]

Sci Rep
Alshangiti AM, Gemeay AM, Bakr ME, Yousuf AM, El-Qurashi MA, Balogun OS, Hussam E, Hammad AT.   +7 more
europepmc   +1 more source

Model‐Enabled Knowledge Transfer Across Cell Lines, Culture Scales and Conditions

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Mechanistic models are central to quantitative understanding and optimization of Chinese hamster ovary (CHO) cell culture processes, but their utility is often restricted by parameter sets calibrated for specific cell lines, scales, or operating conditions.
Luxi Yu, Antonio del Rio Chanona, Cleo Kontoravdi   +2 more
wiley   +1 more source

On the mixed-model analysis of covariance in cluster-randomized trials. [PDF]

Stat Sci
Wang B, Harhay MO, Tong J, Small DS, Morris TP, Li F.   +5 more
europepmc   +1 more source

LLM‐Guided Parameter Optimization for Mechanistic CHO Cell Bioreactor Models

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Mechanistic models of Chinese Hamster Ovary (CHO) cell cultures are essential for efficient bioprocess development and control, yet parameter estimation remains a critical challenge in model calibration. As model complexity increases, the number of parameters grows and their values become highly system‐specific due to biological variability ...
Han Bit Kim, Janghan Lee, Seo‐Yeon Kim, Jihoon Kim, Moo Sun Hong   +4 more
wiley   +1 more source

Robust Estimation of Polychoric Correlation. [PDF]

Psychometrika
Welz M, Mair P, Alfons A.
europepmc   +1 more source

Machine Learning‐Based PAT Tool for Real‐Time Residual Moisture Monitoring in Lyophilized Biopharmaceuticals Using NIR Spectroscopy

Biotechnology and Bioengineering, EarlyView.
ABSTRACT There is a growing demand in the pharmaceutical industry to optimize analytical methodologies, reducing time and resource consumption while ensuring rapid process development and cost‐efficient manufacturing. Indeed, Food and Drug Administration (FDA) introduced the Process Analytical Technology (PAT) as an initiative enabling manufacturers to
Samuele Fiorenza, Mariapia D'Urso, Ambra Massei, Nunzia Falco, Davide Fissore, Enza Torino   +5 more
wiley   +1 more source

Mainlobe Interference Suppression Based on POL-SPICE and Covariance Matrix Reconstruction for Polarization-Sensitive Arrays. [PDF]

Sensors (Basel)
Xiao B, He H, Wang L, Zhou T.
europepmc   +1 more source