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

£199.50

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

Integrating in Silico Methods, Formulation Science, and Clinical Evidence

Medicine: general issues Pharmacy / dispensing Medicinal chemistry Databases Artificial intelligence

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Collection: Studies in Big Data

Language: English

Published by: Springer

Published on: 5th April 2026

Format: LCP-protected ePub

ISBN: 9783032188816


Overview

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.

Topics Covered

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.

Methodology and Relevance

This book demonstrates sound methodology and scientific relevance, with an emphasis on translational research and emerging practices in pharmaceutical and health sciences.

Intended Audience

Intended for researchers, academicians, postgraduate students, and professionals in the pharmaceutical and health sciences, the book brings together peer-reviewed scholarly work and contribute to the growing body of indexed literature supporting evidence-based, technology-enabled healthcare practice.

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