Springerbriefs in Bioengineering : Advances in Computational Drug Delivery and In Silico Screening - Krish W. Ramadurai

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Springerbriefs in Bioengineering

Advances in Computational Drug Delivery and In Silico Screening

By: Krish W. Ramadurai, Abhirup Banerjee

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Paperback | 3 March 2026

At a Glance

Paperback
88 Pages

Dimensions(cm)
23.39 x 15.6 x 0.46

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$146.75

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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.

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