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๐Ÿ” pharmacokinetics ๐Ÿ“‚ Engineering
Showing 20 results for "pharmacokinetics" in Engineering
Engineering Preprint PDF DOI

Solvability of The Output Corridor Control Problem by Pulse-Modulated Feedback

Alexander Medvedev, Anton V. Proskurnikov ยท 2026

The problem of maintaining the output of a positive time-invariant single-input single-output system within a predefined corridor of values is treated. For third-order plants possessing a certain struโ€ฆ

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Engineering Preprint PDF DOI

Whale Optimization Algorithms based fractional order fuzzy PID controller for Depth of Anesthesia

Amin Behboudifar, Chen Jing ยท 2025

One of the most important surgical factors is Depth of Anesthesia (DOA) control in patients. The main problem is to overcome the uncertainty and nonlinearity of the system, due to different physiologiโ€ฆ

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Engineering Preprint PDF DOI

In silico evaluation of pramlintide dosing algorithms in artificial pancreas systems

Borja Pons Torres, Ivan Sala Mira, Clara Furio-Novejarque, Ricardo Sanz, Pedro Garcia, Jose-Luis Diez, Jorge Bondia ยท 2025

Pramlintide's capability to delay gastric emptying has motivated its use in artificial pancreas systems, accompanying insulin as a control action. Due to the scarcity of pramlintide simulation models โ€ฆ

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Engineering Preprint PDF DOI

Promise of Data-Driven Modeling and Decision Support for Precision Oncology and Theranostics

Binesh Sadanandan, Vahid Behzadan ยท 2025

Cancer remains a leading cause of death worldwide, necessitating personalized treatment approaches to improve outcomes. Theranostics, combining molecular-level imaging with targeted therapy, offers poโ€ฆ

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Engineering Preprint PDF DOI

Multi-Agent Deep Reinforcement Learning for Multiple Anesthetics Collaborative Control

Huijie Li, Yide Yu, Si Shi, Anmin Hu, Jian Huo, Wei Lin, Chaoran Wu, Wuman Luo ยท 2025

Automated control of personalized multiple anesthetics in clinical Total Intravenous Anesthesia (TIVA) is crucial yet challenging. Current systems, including target-controlled infusion (TCI) and closeโ€ฆ

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Engineering Preprint PDF DOI

An AI-enabled dual-hormone model predictive control algorithm that delivers insulin and pramlintide

Peter G. Jacobs, Wade Hilts, Robert Dodier, Joseph Leitschuh, Jae H. Eom, Deborah Branigan, Forrest Ling, Matthew Howard, Clara Mosquera-Lopez, Leah Wilson ยท 2025

Current closed-loop insulin delivery algorithms need to be informed of carbohydrate intake disturbances. This can be a burden on people using these systems. Pramlintide is a hormone that delays gastriโ€ฆ

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Engineering Preprint PDF DOI

A Branch and Bound method for the exact parameter identification of the PK/PD model for anesthetic drugs

Giulia Di Credico, Luca Consolini, Mattia Laurini, Marco Locatelli, Marco Milanesi, Michele Schiavo, Antonio Visioli ยท 2024

We address the problem of parameter identification for the standard pharmacokinetic/pharmacodynamic (PK/PD) model for anesthetic drugs. Our main contribution is the development of a global optimizatioโ€ฆ

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Engineering Preprint PDF DOI

Computational modeling of in-stent restenosis: Pharmacokinetic and pharmacodynamic evaluation

Kiran Manjunatha, Nicole Schaaps, Marek Behr, Felix Vogt, Stefanie Reese ยท 2023

Persistence of the pathology of in-stent restenosis even with the advent of drug-eluting stents warrants the development of highly resolved in silico models. These computational models assist in gainiโ€ฆ

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Engineering Preprint PDF DOI

Unpaired Deep Learning for Pharmacokinetic Parameter Estimation from Dynamic Contrast-Enhanced MRI

Gyutaek Oh, Won-Jin Moon, Jong Chul Ye ยท 2023

DCE-MRI provides information about vascular permeability and tissue perfusion through the acquisition of pharmacokinetic parameters. However, traditional methods for estimating these pharmacokinetic pโ€ฆ

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Engineering Preprint PDF DOI

Self-Supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET

Francesca De Benetti, Walter Simson, Magdalini Paschali, Hasan Sari, Axel Romiger, Kuangyu Shi, Nassir Navab, Thomas Wendler ยท 2023

Dynamic positron emission tomography imaging (dPET) provides temporally resolved images of a tracer enabling a quantitative measure of physiological processes. Voxel-wise physiologically-based pharmacโ€ฆ

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Engineering Preprint PDF DOI

The End-to-End Molecular Communication Model of Extracellular Vesicle-based Drug Delivery

Hamid Khoshfekr Rudsari, Mohammad Zoofaghari, Mladen Veletic, Jacob Bergsland, Ilangko Balasingham ยท 2022

A closer look at nature has recently brought more interest in exploring and utilizing intra-body communication networks composed of cells as intrinsic, perfectly biocompatible infrastructures to delivโ€ฆ

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Engineering Preprint PDF DOI

A Model-Based Architecture for Automatic Anesthesia Infusion

Dayang Liu ยท 2021

This paper presents a model-based control architecture. Based on the Medical Cyber-physical Systems (MCPS) concept, we construct a safe and reliable automatic anesthesia control closed-loop system. Thโ€ฆ

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Engineering Preprint PDF DOI

Probabilistically Certified Region of Attraction of a Tumor Growth Model with Combined Chemo- and Immunotherapy

Kaouther Moussa, Mirko Fiacchini, Mazen Alamir ยท 2020

This paper deals with the estimation of regions of attraction (RoAs) under parametric uncertainties for a cancer growth model with combined therapies. We propose a framework of probabilistic certificaโ€ฆ

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Engineering Preprint PDF DOI

Novel Molecular Signaling Method and System for Molecular Communication in Human Body

AbdulAziz Al-Helali, Ben Liang, Nidal Nasser ยท 2020

Recently, Molecular Communication (MC) has been recognized as an enabling technology for nanonetworks where MC is envisioned to enable nanorobots to achieve sophisticated and complex tasks in the humaโ€ฆ

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Engineering Preprint PDF DOI

An Adaptive Neuro-fuzzy Strategy in Closed-loop Control of Anesthesia

Mohammad Javad Khodaei, Mohammad Hadi Balaghi Inaloo, Amin Mehrvarz, Nader Jalili ยท 2019

This paper proposes an adaptive neuro-fuzzy framework to improve drug infusion rate in closed-loop control of anesthesia. The proposed controller provides a sub-optimal propofol administration rate asโ€ฆ

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Engineering Preprint PDF DOI

Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors

Jakub Nalepa, Pablo Ribalta Lorenzo, Michal Marcinkiewicz, Barbara Bobek-Billewicz, Pawel Wawrzyniak, Maksym Walczak, Michal Kawulok, Wojciech Dudzik, Grzegorz Mrukwa, Pawel Ulrych, Michael P. Hayball ยท 2019

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) plays an important role in diagnosis and grading of brain tumor. Although manual DCE biomarker extraction algorithms boost the diagnosticโ€ฆ

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Engineering Preprint PDF DOI

Constrained Control of Depth of Hypnosis During Induction Phase

Mehdi Hosseinzadeh, Guy A. Dumont, Emanuele Garone ยท 2018

This paper proposes a constrained control scheme for the control of the depth of hypnosis during induction phase in clinical anesthesia. In contrast with existing control schemes for propofol deliveryโ€ฆ

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Engineering Preprint PDF DOI

Temporo-Spatial Collaborative Filtering for Parameter Estimation in Noisy DCE-MRI Sequences: Application to Breast Cancer Chemotherapy Response

Xia Zhu, Dipanjan Sengupta, Andrew Beers, Kalpathy-Cramer Jayashree, Theodore L. Willke ยท 2018

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a minimally invasive imaging technique which can be used for characterizing tumor biology and tumor response to radiotherapy. Pharmacoโ€ฆ

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Engineering Peer-Reviewed PDF DOI

Pharmacokinetic evaluation of a sustained-release formulation of trihexyphenidyl in healthy volunteers.

 ยท 1970

Twenty-four male subjects were randomized to receive two oral dosage forms of trihexyphenidyl HCl (alpha-cyclohexyl-alpha-phenyl-1-piperidinepropanol HCl). The dosage regimens were (1) a 5-mg immediatโ€ฆ

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Engineering Peer-Reviewed PDF DOI

SPECT quantification of benzodiazepine receptor concentration using a dual-ligand approach.

 ยท 1970

UNLABELLED: The distribution of benzodiazepine receptors in the human brain has been widely studied with SPECT using (123)I-iomazenil and semiquantitative approaches, but these methods do not allow quโ€ฆ

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