AIMC Topic: Administration, Intravenous

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Application of Machine Learning and Mechanistic Modeling to Predict Intravenous Pharmacokinetic Profiles in Humans.

Journal of medicinal chemistry Mar 27, 2025
Accurate prediction of new compounds' pharmacokinetic (PK) profile in humans is crucial for drug discovery. Traditional methods, including allometric scaling and mechanistic modeling, rely on parameters from or testing, which are labor-intensive an...
Drug Discovery Pharmaceutical Preparations Models, Biological Pharmacokinetics Administration, Intravenous Humans Machine Learning
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Application of machine-learning models to predict the ganciclovir and valganciclovir exposure in children using a limited sampling strategy.

Antimicrobial agents and chemotherapy Aug 28, 2024
Intravenous ganciclovir and oral valganciclovir display significant variability in ganciclovir pharmacokinetics, particularly in children. Therapeutic drug monitoring currently relies on the area under the concentration-time (AUC). Machine-learning (...
Humans Drug Monitoring Machine Learning Cytomegalovirus Infections Valganciclovir Algorithms Infant Administration, Oral Female Child Ganciclovir Adolescent Administration, Intravenous Male Antiviral Agents Child, Preschool Area Under Curve Bayes Theorem
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A Combination of Machine Learning and PBPK Modeling Approach for Pharmacokinetics Prediction of Small Molecules in Humans.

Pharmaceutical research Jun 25, 2024
PURPOSE: Recently, there has been rapid development in model-informed drug development, which has the potential to reduce animal experiments and accelerate drug discovery. Physiologically based pharmacokinetic (PBPK) and machine learning (ML) models ...
Humans Machine Learning Computer Simulation Administration, Intravenous Area Under Curve Pharmaceutical Preparations Male Models, Biological Drug Discovery Pharmacokinetics Caco-2 Cells Blood Proteins
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Personalising intravenous to oral antibiotic switch decision making through fair interpretable machine learning.

Nature communications Jan 13, 2024
Antimicrobial resistance (AMR) and healthcare associated infections pose a significant threat globally. One key prevention strategy is to follow antimicrobial stewardship practices, in particular, to maximise targeted oral therapy and reduce the use ...
Administration, Oral Administration, Intravenous Humans Machine Learning Anti-Bacterial Agents Decision Making
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A Deep Learning Approach to Visualize Aortic Aneurysm Morphology Without the Use of Intravenous Contrast Agents.

Annals of surgery Jan 10, 2023
BACKGROUND: Intravenous contrast agents are routinely used in CT imaging to enable the visualization of intravascular pathology, such as with abdominal aortic aneurysms. However, the injection is contraindicated in patients with iodine allergy and is...
Contrast Media Aortic Aneurysm, Abdominal Administration, Intravenous Aortic Aneurysm Humans Deep Learning
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Computational Predictions of Nonclinical Pharmacokinetics at the Drug Design Stage.

Journal of chemical information and modeling Jan 3, 2023
Although computational predictions of pharmacokinetics (PK) are desirable at the drug design stage, existing approaches are often limited by prediction accuracy and human interpretability. Using a discovery data set of mouse and rat PK studies at Roc...
Pharmacokinetics Administration, Intravenous Humans Neural Networks, Computer Animals Pharmaceutical Preparations Models, Biological Biological Availability Drug Design Rats
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Reperfusion Therapy in Acute Ischemic Stroke with Active Cancer: A Meta-Analysis Aided by Machine Learning.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Mar 26, 2021
OBJECTIVES: While the prevalence of active cancer patients experiencing acute stroke is increasing, the effects of active cancer on reperfusion therapy outcomes are inconclusive. Thus, we aimed to compare the safety and outcomes of reperfusion therap...
Endovascular Procedures Humans Ischemic Stroke Machine Learning Thrombolytic Therapy Female Fibrinolytic Agents Risk Factors Administration, Intravenous Male Neoplasms Middle Aged Aged Time Factors Risk Assessment Treatment Outcome Aged, 80 and over Recovery of Function
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A Machine Learning Approach for Predicting Early Phase Postoperative Hypertension in Patients Undergoing Carotid Endarterectomy.

Annals of vascular surgery Jul 10, 2020
BACKGROUND: This study aimed to establish and validate a machine learning-based model for the prediction of early phase postoperative hypertension (EPOH) requiring the administration of intravenous vasodilators after carotid endarterectomy (CEA).
Aged, 80 and over Adult Male Vasodilator Agents Middle Aged Cerebrovascular Circulation Retrospective Studies Hypertension Carotid Stenosis Female Treatment Outcome Endarterectomy, Carotid Risk Assessment Risk Factors Humans Predictive Value of Tests Blood Pressure Time Factors Aged Machine Learning Antihypertensive Agents Decision Support Techniques Cerebrovascular Disorders Databases, Factual Administration, Intravenous
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Direct Comparison of Total Clearance Prediction: Computational Machine Learning Model versus Bottom-Up Approach Using In Vitro Assay.

Molecular pharmaceutics Jun 12, 2020
The in vitro-in vivo extrapolation (IVIVE) approach for predicting total plasma clearance (CL) has been widely used to rank order compounds early in discovery. More recently, a computational machine learning approach utilizing physicochemical descrip...
Blood Proteins Pharmaceutical Preparations Dogs Models, Biological Protein Binding Rats Rats, Sprague-Dawley Liver Humans Pharmacokinetics Administration, Intravenous Plasma Machine Learning Madin Darby Canine Kidney Cells Metabolic Clearance Rate Animals Microsomes, Liver Membranes, Artificial Male Hepatocytes Permeability
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Socially-Assistive Robots Using Empathy to Reduce Pain and Distress during Peripheral IV Placement in Children.

Pain research & management Apr 9, 2020
OBJECTIVES: Socially-assistive robots (SAR) have been used to reduce pain and distress in children in medical settings. Patients who perceive empathic treatment have increased satisfaction and improved outcomes. We sought to determine if an empathic ...
Pain Humans Surveys and Questionnaires Pain Management Female Administration, Intravenous Child, Preschool Male Empathy Child Pilot Projects Robotics
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