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Computational and Data-Driven Approaches in Pharmaceutical Sciences: From Molecular Modelling to Evidence-Based Therapeutics: Integrating in Silico Me

Computational and Data-Driven Approaches in Pharmaceutical Sciences: From Molecular Modelling to Evidence-Based Therapeutics: Integrating in Silico Me

Hardcover

Series: Studies in Big Data, Book 189

Technology & EngineeringGeneral Computers

Currently unavailable to order

ISBN10: 3032188806
ISBN13: 9783032188809
Publisher: Springer
Published: Apr 7 2026
Pages: 356
Weight: 1.43
Height: 0.96 Width: 6.38 Depth: 9.51
Language: English
This book brings together a rigorously peer-reviewed selection of research papers reflecting recent developments in pharmaceutical sciences, clinical therapeutics, and analytical approaches in healthcare.

This book covers a broad range of topics, including computational drug discovery and molecular modelling, advanced pharmaceutical formulation and nanotechnology, evidence synthesis via systematic reviews and meta-analyses, pharmacogenetics, and the application of artificial intelligence in healthcare practice. This book demonstrates sound methodology and scientific relevance, with an emphasis on translational research and emerging practices in pharmaceutical and health sciences.

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General Computers