Results 21 to 30 of about 14,687 (252)

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

Development and Evaluation of Physiologically Based Pharmacokinetic Drug–Disease Models for Predicting Rifampicin Exposure in Tuberculosis and Cirrhosis Populations

Pharmaceutics, 2019
The physiologically based pharmacokinetic (PBPK) approach facilitates the construction of novel drug−disease models by allowing incorporation of relevant pathophysiological changes.
Muhammad F. Rasool, Sundus Khalid, Abdul Majeed, Hamid Saeed, Imran Imran, Mohamed Mohany, Salim S. Al-Rejaie, Faleh Alqahtani   +7 more
doaj   +1 more source

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
core   +1 more source

Tingkat Parasitasi Parasitoid Telur Pbpk pada Pertanaman Padi dengan Beberapa Ketinggian Tempat Berbeda [PDF]

, 2015
Rice is the staple food of Indonesia\u27s population. Various problems occur in an effort to increase production and productivity. One problem is the attack of yellow rice stem borer (PBPK) which may result in yield losses up to 90%.
M. Rehan Saleem (748807), Munshoor Ahmed (748806), Saqib Zia (748808), Shamsul Qamar (748809)   +3 more
core   +7 more sources

Model-Informed Precision Dosing of Antibiotics in Osteoarticular Infections

Infection and Drug Resistance, 2022
Lingling Liu,1 Jin Wang,1 Huan Zhang,1 Mengli Chen,2 Yun Cai1 1Center of Medicine Clinical Research, Department of Pharmacy, Medical Supplies Center, PLA General Hospital, Beijing, People’s Republic of China; 2Department of Pharmacy, Medical Supplies ...
Liu L, Wang J, Zhang H, Chen M, Cai Y
doaj  

Dispelling urban myths about default uncertainty factors in chemical risk assessment - Sufficient protection against mixture effects? [PDF]

, 2013
© 2013 Martin et al.; licensee BioMed Central LtdThis article has been made available through the Brunel Open Access Publishing Fund.Assessing the detrimental health effects of chemicals requires the extrapolation of experimental data in animals to human
A Kortenkamp, A Kortenkamp, A Rane, AG Renwick, AG Renwick, AG Renwick, AG Renwick, AJ Lehman, Andreas Kortenkamp, BD Naumann, BD Naumann, BGH Bokkers, CI Bliss, CM Thompson, CS Weil, D Hattis, D Hattis, D Hattis, D Hattis, D Hattis, D Hattis, D Hattis, D Hattis, Danish EPA, DL Glaubiger, DM Sheehan, DW Gaylor, ECETOC, ECETOC, ECHA, EJ Bigwood, EJ Calabrese, EJ Calabrese, EJ Calabrese, EJ Calabrese, EJ Freireich, ER Homan, European Commission, European Community, F Kalberlah, F Kalberlah, F Kalberlah, G Charnley, G Ginsberg, G Ginsberg, G Ginsberg, G Ginsberg, G Vettorazzi, GA Skowronski, GN Krasovskii, GWM Petersvolleberg, H Boxenbaum, H Carlson-Lynch, HA Tilson, HJ Clewell, HJ Clewell, IPCS, IPCS, IPCS, IPCS, IPCS, IWF Davidson, JC Swartout, JECFA, JEFCA, JEFCA, JL Dorne, JLCM Dorne, K Schneider, K Schneider, K Schneider, K Walton, K Walton, K Walton, K Watanabe, KC Silverman, KEMI, KS Crump, KS Crump, LT Haber, M Dourson, M Faust, M Rennen, M Scholze, ME Meek, ML Dourson, ML Dourson, ML Dourson, National Research Council, National Research Council, Olwenn V Martin, P Griem, PR Gentry, PS Price, R Cooke, R Goble, R Hasegawa, R Hasegawa, R Kroes, R Scheuplein, R Truhaut, RH White, RL Dixon, SC Lewis, SCHER/SCENIHR/SCCS, Scholze Martin, SJS Baird, T Backhaus, TG Vermeire, TG Vermeire, USEPA, W Slob, W Slob, WJJ Hayes   +113 more
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Prediction for optimal dosage of pazopanib under various clinical situations using physiologically based pharmacokinetic modeling

Frontiers in Pharmacology, 2022
This study aimed to apply a physiologically based pharmacokinetic (PBPK) model to predict optimal dosing regimens of pazopanib (PAZ) for safe and effective administration when co-administered with CYP3A4 inhibitors, acid-reducing agents, food, and ...
Chunnuan Wu, Chunnuan Wu, Chunnuan Wu, Bole Li, Bole Li, Bole Li, Shuai Meng, Shuai Meng, Shuai Meng, Linghui Qie, Linghui Qie, Linghui Qie, Jie Zhang, Jie Zhang, Jie Zhang, Guopeng Wang, Cong Cong Ren   +16 more
doaj   +1 more source

Demystifying physiologically based pharmacokinetic modelling among non-modelers towards model-informed medicine use in under-served populations. [version 1; peer review: 3 approved, 2 approved with reservations]

Gates Open Research, 2023
Physiologically based pharmacokinetic (PBPK) models represent computational technology to characterize drug behavior within the context of detailed human physiology.
Jolien Freriksen, Susan Cole, Joyce van der Heijden, Karen R Yeo, Trevor Johnson, Essam Kerwash, Marika de Hoop-Sommen, Rick Greupink, Janet Nooney, Saskia de Wildt, Ping Zhao   +10 more
doaj   +1 more source

Physiologically based modeling and prediction of drug interactions [PDF]

, 2010
International audienceA major challenge for drug development and environmental or occupational health is the prediction of pharmacokinetic and pharmacodynamic interactions between drugs, natural chemicals or environmental contaminants.
Bois, Frédéric Y.
core   +3 more sources

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