Exploring Computational Pharmaceutics ‐ AI and Modeling in Pharma 4.0

药剂学 计算机科学 人工智能 医学 药理学
出处
期刊:Wiley eBooks [Wiley]
被引量:10
标识
DOI:10.1002/9781119987260
摘要

Provides an extensive and up-to-date overview of the theory and application of computational pharmaceutics in the drug development process Exploring Computational Pharmaceutics - AI and Modeling in Pharma 4.0 introduces a variety of current and emerging computational techniques for pharmaceutical research. Bringing together experts from academia, industry, and regulatory agencies, this edited volume also explores the current state, key challenges, and future outlook of computational pharmaceutics while encouraging development across all sectors of the field. Throughout the text, the authors discuss a wide range of essential topics, from molecular modeling and process simulation to intelligent manufacturing and quantitative pharmacology. Building upon Exploring Computational Pharmaceutics - AI and Modeling in Pharma 4.0, this new edition provides a multi-scale perspective that reveals the physical, chemical, mathematical, and data-driven details of pre-formulation, formulation, process, and clinical studies, in addition to in vivo prediction in the human body and precision medicine in clinical settings. Detailed chapters address both conventional dosage forms and the application of computational technologies in advanced pharmaceutical research, such as dendrimer-based delivery systems, liposome and lipid membrane research, and inorganic nanoparticles. A major contribution to the development and promotion of computational pharmaceutics, this important resource: Discusses the development track, achievements, and prospects of computational pharmaceutics Presents multidisciplinary research to help physicists, chemists, mathematicians, and computer scientists locate problems in the field of drug delivery Covers a wide range of technologies, including complex formulations for water-insoluble drugs, protein/peptide formulations, nanomedicine, and gene delivery systems Focuses on the application of cutting-edge computational technologies and intelligent manufacturing of emerging pharmaceutical technologies Includes a systematic overview of computational pharmaceutics and Pharma 4.0 to assist non-specialist readers Covering introductory, advanced, and specialist topics, Exploring Computational Pharmaceutics - AI and Modeling in Pharma 4.0 is an invaluable resource for computational chemists, computational analysts, pharmaceutical chemists, process engineers, process managers, and pharmacologists, as well as computer scientists, medicinal chemists, clinical pharmacists, material scientists, and nanotechnology specialists working in the field.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
商陆发布了新的文献求助10
1秒前
独特的哈密瓜数据线完成签到,获得积分10
2秒前
3秒前
yiner520发布了新的文献求助10
3秒前
3秒前
Yoeyvol发布了新的文献求助10
3秒前
OpangziO发布了新的文献求助10
3秒前
赘婿应助土豪的秋莲采纳,获得10
4秒前
4秒前
852应助丰新新采纳,获得10
5秒前
NexusExplorer应助QIAN采纳,获得10
5秒前
尊嘟假嘟发布了新的文献求助10
5秒前
5秒前
星辰大海应助王玉琴采纳,获得10
6秒前
科研通AI6.4应助吴心陆采纳,获得10
7秒前
7秒前
7秒前
LYY完成签到,获得积分10
8秒前
8秒前
molihuakai应助liugm采纳,获得10
8秒前
jiabu发布了新的文献求助10
8秒前
9秒前
Camellia完成签到,获得积分10
9秒前
OKC完成签到,获得积分10
10秒前
小文发布了新的文献求助10
10秒前
开心饭发布了新的文献求助10
10秒前
wanci应助zz采纳,获得10
10秒前
10秒前
小马甲应助wangxx采纳,获得10
11秒前
可爱的函函应助Passion采纳,获得10
11秒前
张许昂发布了新的文献求助10
11秒前
tao发布了新的文献求助10
11秒前
糟糕的语蝶完成签到,获得积分10
12秒前
核桃发布了新的文献求助10
12秒前
坦率起眸完成签到,获得积分10
12秒前
12秒前
14秒前
14秒前
嘟噜发布了新的文献求助20
14秒前
15秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场规模及竞争格局分析报告 1000
模型平均及其应用 900
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
Évora na Idade Média 555
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 550
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7344796
求助须知:如何正确求助?哪些是违规求助? 8957226
关于积分的说明 19019647
捐赠科研通 6996573
什么是DOI,文献DOI怎么找? 3219849
关于科研通互助平台的介绍 2384785
邀请新用户注册赠送积分活动 2200072