AIMC Topic: Administration, Intravenous

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Predicting Pharmacokinetics in Rats Using Machine Learning: A Comparative Study Between Empirical, Compartmental, and PBPK-Based Approaches.

Clinical and translational science Mar 1, 2025
A successful drug needs to combine several properties including high potency and good pharmacokinetic (PK) properties to sustain efficacious plasma concentration over time. To estimate required doses for preclinical animal efficacy models or for the ...
Machine Learning Animals Models, Biological Pharmacokinetics Administration, Intravenous Male Rats
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Integrating real-world data and machine learning: A framework to assess covariate importance in real-world use of alternative intravenous dosing regimens for atezolizumab.

Clinical and translational science Nov 1, 2024
The increase in the availability of real-world data (RWD), in combination with advances in machine learning (ML) methods, provides a unique opportunity for the integration of the two to explore complex clinical pharmacology questions. Here we present...
Humans Machine Learning Drug Administration Schedule Administration, Intravenous Aged Dose-Response Relationship, Drug Algorithms Middle Aged Male Female Antibodies, Monoclonal, Humanized Infusions, Intravenous
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Comparative Analysis of Machine Learning Algorithms Evaluating the Single Nucleotide Polymorphisms of Metabolizing Enzymes with Clinical Outcomes Following Intravenous Paracetamol in Preterm Neonates with Patent Ductus Arteriosus.

Current drug metabolism Jan 1, 2024
AIMS: Pharmacogenomics has been identified to play a crucial role in determining drug response. The present study aimed to identify significant genetic predictor variables influencing the therapeutic effect of paracetamol for new indications in prete...
Infant, Premature Administration, Intravenous Treatment Outcome Cytochrome P-450 Enzyme System Ductus Arteriosus, Patent Acetaminophen Analgesics, Non-Narcotic Female Infant, Newborn Male Polymorphism, Single Nucleotide Algorithms Prospective Studies Humans Machine Learning
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Intravenous compounding robots in pharmacy intravenous admixture services: A systematic review.

Medicine May 12, 2023
BACKGROUND: There is a lack of best evidence of intravenous compounding robots for hospital decision-makers. This study aimed to conduct a systematic review of intravenous compounding robots.
Robotics Humans Administration, Intravenous Pharmaceutical Services Costs and Cost Analysis Pharmacy
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Histogram-Based Discrimination of Intravenous Contrast in Abdominopelvic Computed Tomography.

Journal of computer assisted tomography Jan 1, 2016
OBJECTIVE: The aim of this study was to evaluate the accuracy of fully automated machine learning methods for detecting intravenous contrast in computed tomography (CT) studies of the abdomen and pelvis.
Reproducibility of Results Logistic Models Contrast Media Pelvis Algorithms Tomography, X-Ray Computed Humans Artificial Intelligence Administration, Intravenous Radiography, Abdominal Radiographic Image Enhancement
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[Signifiance of brush sign on susceptibility-weighted imaging predicts hemorrhagic transformation after intravenous thrombolysis in patients with acute ischemic stroke].

Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences Nov 1, 2015
OBJECTIVE: To assess brush sign (BS) on susceptibility-weighted imaging (SWI) in prediction of hemorrhagic transformation (HT) in patients with acute ischemic stroke (AIS) after intravenous thrombolysis(IVT).
Diagnostic Imaging Male Administration, Intravenous Brain Ischemia Stroke Aged Carotid Artery, Internal Recombinant Proteins Middle Aged Tissue Plasminogen Activator Treatment Outcome Humans Aged, 80 and over Thrombolytic Therapy United States Female
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