Results 21 to 30 of about 12,486 (248)

Predicting the correct dose in children: Role of computational Pediatric Physiological‐based pharmacokinetics modeling tools

CPT: Pharmacometrics & Systems Pharmacology, 2023
The pharmacokinetics (PKs) and safety of medications in particular groups can be predicted using the physiologically‐based pharmacokinetic (PBPK) model.
Xu Zhou, Jiening Dun, Xiao Chen, Bai Xiang, Yunjie Dang, Deying Cao   +5 more
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Physiologically-Based Pharmacokinetic (PBPK) Modeling Providing Insights into Fentanyl Pharmacokinetics in Adults and Pediatric Patients

Pharmaceutics, 2020
Fentanyl is widely used for analgesia, sedation, and anesthesia both in adult and pediatric populations. Yet, only few pharmacokinetic studies of fentanyl in pediatrics exist as conducting clinical trials in this population is especially challenging ...
Lukas Kovar, Andreas Weber, Michael Zemlin, Yvonne Kohl, Robert Bals, Bernd Meibohm, Dominik Selzer, Thorsten Lehr   +7 more
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Physiologically Based Pharmacokinetic Modeling of Cefadroxil in Mouse, Rat, and Human to Predict Concentration–Time Profile at Infected Tissue

Frontiers in Pharmacology, 2021
The aim of this study was to develop physiologically based pharmacokinetic (PBPK) models capable of simulating cefadroxil concentrations in plasma and tissues in mouse, rat, and human.
Zhongxia Tan, Youxi Zhang, Chao Wang, Le Sun   +3 more
doaj   +1 more source

Agent-based modeling: a systematic assessment of use cases and requirements for enhancing pharmaceutical research and development productivity. [PDF]

, 2013
A crisis continues to brew within the pharmaceutical research and development (R&D) enterprise: productivity continues declining as costs rise, despite ongoing, often dramatic scientific and technical advances. To reverse this trend, we offer various
Hunt, C. Anthony, Hunt, CA, Kennedy, RC, Kim, SHJ, Ropella, GEP   +4 more
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Current trends in drug metabolism and pharmacokinetics. [PDF]

, 2019
Pharmacokinetics (PK) is the study of the absorption, distribution, metabolism, and excretion (ADME) processes of a drug. Understanding PK properties is essential for drug development and precision medication.
Abduljalil, Aghazadeh-Habashi, Aigrain, Aitman, Al Za'abi, Alegre, Alnaqeeb, Aspromonte, Babiskin, Baert, Bakke, Barnett, Bhattacharyya, Cang, Cannady, Cao, Cao, Capecchi, Chen, Chen, Chen, Chen, Chen, Chen, Chen, Cheng, Cheng, Crawford, Currie, De Lange, Dean, Deng, Di Paolo, Dietrich, Diliberto, Dluzen, Dowling, Dragin, Dreisbach, Duan, Edeogu, Edginton, El-Arabey, El-Kadi, EMA, Eum, Falany, Fang, FDA, Feng, Feng, Feng, Ferri, Fleming, Foti, Fox, Freedman, Frye, Fukami, Gaj, Gan, Gao, Gao, Gao, Gao, Gao, Ge, Genovese, Gingell, Gingell, Gong, Graham, Gufford, Guo, Guo, Guo, Guévin, Han, Harrison, Hartz, Hasegawa, He, He, He, He, He, Ho, Ho, Hou, Hsu, Hsueh, Hu, Hu, Hu, Huo, Hwang, Ito, Jacob, Jeong, Jeong, Jia, Jian, Jiang, Jiang, Jiang, Jiang, Jilek, Jilek, Johnson, Jorga, Jung, Kaivosaari, Kalthoff, Kaminsky, Kannan, Karibe, Kesisoglou, Kim, Kim, Knights, Kong, Kota, Kumar, Kurokawa, Lai, Lan, Lanchote, Lee, Lehouritis, Li, Li, Li, Li, Li, Li, Li, Li, Li, Li, Li, Liang, Lin, Liu, Liu, Liu, Liu, Liu, Liu, Liu, Liu, Liu, Liu, Liu, Liu, Lopes-Rodrigues, Lu, Lu, Lu, Löfgren, Mano, Marchitti, Margolskee, Martin, Matsson, Mattick, Mazerska, Mei, Mencia, Meng, Min, Mitra, Miyajima, Müller, Nair, Nakano, Nakano, Nakano, Nebert, Nguyen, Niederalt, Nieto Montesinos, Niu, Notenboom, Nozaki, Ohtsuki, Ono, Oostendorp, Pan, Pan, Papageorgiou, Papageorgiou, Park, Pea, Pedersen, Pelkonen, Pellegrino, Pettersson Bergstrand, Qi, Qin, Qiu, Qiu, Raaska, Rives, Riviere, Roberts, Robey, Rocha, Rose, Routy, Rowland, Ruwali, Saini, Satoh, Savage, Scheer, Scheer, Schlender, Schmitt, Schneider, Seitz, Showande, Shu, Shu, Shu, Shugarts, Siu, Song, Staudinger, Strong, Suarez-Sharp, Suh, Suiko, Sukkummee, Sun, Sun, Sutliff, Takeda, Tan, Tan, Tao, Tatsumi, Teorell, Tsai, Tsang, Tsuchiya, Tsume, Tu, Ulldemolins, van Waterschoot, von Richter, Vugmeyster, Vuppugalla, Wagner, Wagner, Wagner, Wang, Wang, Wang, Wang, Wang, Wang, Wang, Wang, Wang, Wang, Wang, Wassenaar, Watanabe, Wei, Wijayakumara, Wilkinson, Wong, Wu, Xia, Xie, Xie, Xu, Xu, Xu, Xu, Xu, Xue, Yamagata, Yamaguchi, Yan, Yang, Yang, Yang, Ye, Yellepeddi, Yi, Yi, Yigitaslan, Yim, Yin, Yoshida, Yoshida, Yoshimi, Yu, Yu, Yu, Yu, Yu, Yu, Yu, Zakeri-Milani, Zanger, Zeng, Zeng, Zhai, Zhang, Zhang, Zhang, Zhang, Zhang, Zhang, Zhang, Zhang, Zhang, Zhao, Zhao, Zhao, Zhao, Zhou, Zhou, Zhou, Zhou, Zhou, Zhu, Zhu, Zhu, Zhuang, Zimmermann   +332 more
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Physiologically-based pharmacokinetic modeling for optimal dosage prediction of olaparib when co-administered with CYP3A4 modulators and in patients with hepatic/renal impairment

Scientific Reports, 2023
This study aimed to develop a physiologically-based pharmacokinetic (PBPK) model to predict the maximum plasma concentration (Cmax) and trough concentration (Ctrough) at steady-state of olaparib (OLA) in Caucasian, Japanese and Chinese.
Dongmei Gao, Guopeng Wang, Honghai Wu, Jiawei Ren   +3 more
doaj   +1 more source

Simulated rat intestinal fluid improves oral exposure prediction for poorly soluble compounds over a wide dose range [PDF]

, 2016
Solubility can be the absorption limiting factor for drug candidates and is therefore a very important input parameter for oral exposure prediction of compounds with limited solubility.
Bernard Faller, Frank H. Seiler, Jörg Berghausen, Nathalie Gobeau   +3 more
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Comparison of Subjective Responses to Oral and Intravenous Alcohol Administration under Similar Systemic Exposures [PDF]

, 2019
Objective To test whether an individual's subjective responses to alcohol are similar when the breath alcohol concentration (BrAC) trajectory resulting from oral administration is matched by intravenous administration.
Boes, Julian, Durrani, A. M., Kosobud, Ann, O'Connor, Sean, Plawecki, Martin H., Ramchandani, V. A., Wetherill, Leah   +6 more
core   +1 more source

Physiologically Based Pharmacokinetic (PBPK) Models for Ethanol [PDF]

IEEE Transactions on Biomedical Engineering, 2008
Physiologically based pharmacokinetic models have been used to describe the distribution and elimination of ethanol after intravenous administration. These models have been used to estimate the ethanol infusion profile that is sufficient for achieving a prescribed breath ethanol concentration time course in individuals, providing a useful platform for ...
Martin H, Plawecki, Jae-Joon, Han, Peter C, Doerschuk, Vijay A, Ramchandani, Sean J, O'Connor   +4 more
openaire   +2 more sources

Human Food Safety Implications of Variation in Food Animal Drug Metabolism [PDF]

, 2016
Citation: Lin, Z., Vahl, C. I., & Riviere, J. E. (2016). Human Food Safety Implications of Variation in Food Animal Drug Metabolism. Scientific Reports, 6.
Lin, Zhoumeng, Riviere, Jim E., Vahl, Christopher I.   +2 more
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