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商品詳細
Machine Learning-Driven Rational Design in Nanomedicine: Advances in Computational Drug Delivery and In Silico Screening.
・ISBN 978-3-032-04011-4 paper EUR 49.99
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| 著者・編者 | Ramadurai, Krish W. / Banerjee, Abhirup, |
|---|---|
| シリーズ | (SpringerBriefs in Bioengineering) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2026 |
| ページ数 | 73 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A04-82557＞ |
解説
This book explores how machine learning is transforming nanomedicine, with a focus on the rational design of lipid nanoparticles (LNPs) for mRNA-based therapies. Moving beyond traditional, labor-intensive workflows, it highlights AI-driven methods-such as supervised learning, data augmentation, and deep learning-for predictive modeling and in silico screening.
Key topics include chemoinformatics, molecular fingerprinting, and strategies to optimize LNP transfection efficiency and biocompatibility. Real-world applications, including mRNA vaccines and personalized nanomedicines, illustrate the convergence of computational biology and pharmaceutical engineering. It also addresses the ethical considerations and regulatory challenges surrounding AI-driven drug development. This book is intended for researchers, pharmaceutical scientists, computational biologists, and professionals in the biotechnology industry who seek to leverage AI-driven methodologies in nanomedicine development.