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Titlebook: Recent Advances in Therapeutic Drug Monitoring and Clinical Toxicology; Seth Kwabena Amponsah,Yashwant V. Pathak Book 2022 The Editor(s) (

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樓主: 鳥場
21#
發(fā)表于 2025-3-25 04:12:18 | 只看該作者
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發(fā)表于 2025-3-25 11:13:45 | 只看該作者
23#
發(fā)表于 2025-3-25 12:05:16 | 只看該作者
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發(fā)表于 2025-3-25 17:22:40 | 只看該作者
Therapeutic and Toxic Concentrations of Drugs in Biological Matrices,ually, when drug levels in these matrices attain toxic concentrations, it will lead to potential adverse effects, thus the need for documented data on therapeutic and toxic concentrations of drugs in the various biological matrices.
25#
發(fā)表于 2025-3-25 23:22:09 | 只看該作者
Analyzing Data from Therapeutic Drug Monitoring, Pharmacokinetics, and Clinical Toxicology Studies, such high standards that the integrity of conclusions drawn from it cannot be disputed. This chapter describes key concepts and provides practical examples on planning, handling, and analyzing data in therapeutic drug monitoring, pharmacokinetics and clinical toxicology studies.
26#
發(fā)表于 2025-3-26 04:05:22 | 只看該作者
Drug Dose and Therapy Individualization,are. This chapter explores the effects of patients’ comorbidities and pharmacogenetics, specifically in regard to cytochrome P450 (CYP450) metabolism, infection, obesity, and renal insufficiency in order to highlight how important it is to understand a patient’s individualism when prescribing based on treatment algorithms.
27#
發(fā)表于 2025-3-26 04:19:40 | 只看該作者
28#
發(fā)表于 2025-3-26 09:11:04 | 只看該作者
Models for Drug Individualization: Patient to Population Level,ing (PBPK) have been developed in order to gradually replace large and expensive clinical studies. By understanding how pharmacotherapy differs between individuals and populations, clinicians can begin to optimize drug therapy, taking the next step forward into personalized medicine which will?optimize drug efficacy and safety.
29#
發(fā)表于 2025-3-26 15:58:14 | 只看該作者
Artificial Intelligence-Based Techniques to Assess Drug Toxicity in Drug-Induced Liver Injury (DILIgnosing DILI injury patterns, liver toxicity, and disease management. Deep learning models in artificial intelligence can be tested on the whole slide digital images (WSI) of liver biopsy to classify the DILI injury patterns such as fibrosis and steatosis.
30#
發(fā)表于 2025-3-26 19:17:57 | 只看該作者
gy.Discusses pharmacokinetics and pharmacogenomics.This book gives an overview of therapeutic drug monitoring (TDM) and its clinical application. It also highlights recent advances in toxicological studies, as they relate to therapeutic drug monitoring.??.This is one of the few books available on th
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