Computational and Data-Driven Approaches in Pharmaceutical Sciences: From Molecular Modelling to Evidence-Based Therapeutics by Zoriah Aziz
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.
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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Foundations of Machine Learning and AI
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Advances in Next-Generation Networking for Cyber-Physical System: TCP, SDN, and Emerging Technologies
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Digitalization
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Innovations in Data Science and Analytics
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Blockchain Innovations for a Sustainable Circular Economy
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AI Intervention in Digital and Social Marketing
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Intelligent Governance in the Big Data Era
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Data Science in Finance and Accounting
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Cyber Security
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Internet of Things for Healthcare Technologies
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New Paradigm of Industry 4.0
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Blockchain and Deep Learning
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Cyber and Digital Forensic Investigations
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Handbook of Machine Learning Applications for Genomics
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Fog Data Analytics for IoT Applications
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The Future of Metaverse in the Virtual Era and Physical World
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Machine Learning for Adaptive Many-Core Machines - A Practical Approach
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Big Data and Blockchain for Service Operations Management
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The Geometry of Intelligence: Foundations of Transformer Networks in Deep Learning
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Concepts and Methods for a Librarian of the Web
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Blockchain and its Applications in Industry 4.0
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Deep Learning Through the Prism of Tensors
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Internet of Things and Analytics for Agriculture, Volume 3
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Environmental Modeling Using Satellite Imaging and Dataset Re-processing
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The Power of Data: Driving Climate Change with Data Science and Artificial Intelligence Innovations
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Recommender System for Improving Customer Loyalty
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Evolutionary Decision Trees in Large-Scale Data Mining
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Supply Chain Performance Evaluation
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The Autonomous Web
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Total Journalism
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Big Data in Information Society and Digital Economy
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Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach
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Text Mining
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Information Retrieval and Natural Language Processing
| SKU | Unavailable |
| ISBN 13 | 9783032188809 |
| ISBN 10 | 3032188806 |
| Title | Computational and Data-Driven Approaches in Pharmaceutical Sciences: From Molecular Modelling to Evidence-Based Therapeutics |
| Author | Zoriah Aziz |
| Series | Studies In Big Data |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer Nature Switzerland AG |
| Year published | 2026-04-01 |
| Number of pages | 356 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |