Artificial Intelligence in Precision Drug Design, Volume 1 Foundations and Core Techniques | 31.9 MB
Title: Artificial Intelligence in Precision Drug Design, Volume 1
Author: Khalid Raza;
Category: Nonfiction, Health & Well Being, Medical, Medical Science, Pharmacology, Business & Finance, Industries & Professions, Industries
Language: English | 428 Pages | ISBN: 0443444153
Description:
Artificial Intelligence in Precision Drug Design, Volume One: Foundations and Core Techniques offers a comprehensive introduction to the transformative role of AI in modern drug discovery. The book lays the groundwork for understanding how machine learning, deep learning, and generative models are reshaping the development of precision therapeutics. It explores foundational topics such as AI-driven molecular screening, pharmacokinetics, ADMET modeling, toxicity prediction, and omics integration. In addition, sections address ethical, philosophical, and epistemological dimensions, ensuring a well-rounded perspective. Each chapter, authored by global experts, combines theoretical insights with real-world case studies to bridge the gap between AI and life sciences.Designed for graduate students, researchers, and professionals in bioinformatics, biomedical sciences, and pharmaceutical R&D, this volume equips readers with essential knowledge and tools to navigate the evolving landscape of AI in drug design. It empowers interdisciplinary learners to apply cutting-edge AI techniques to real-world biomedical challenges. – Presents foundational concepts in machine learning, deep learning, and cheminformatics, enabling readers to understand and apply AI techniques across the drug discovery pipeline – Bridges disciplines through interdisciplinary insights – Connects life sciences, computer science, and bioinformatics, offering a structured entry point for researchers from diverse academic backgrounds – Integrates real-world examples and applications to illustrate how AI tools are used in molecular screening, ADMET modeling, and pharmacokinetics prediction
Artificial Intelligence in Precision Drug Design, Volume One: Foundations and Core Techniques offers a comprehensive introduction to the transformative role of AI in modern drug discovery. The book lays the groundwork for understanding how machine learning, deep learning, and generative models are reshaping the development of precision therapeutics. It explores foundational topics such as AI-driven molecular screening, pharmacokinetics, ADMET modeling, toxicity prediction, and omics integration. In addition, sections address ethical, philosophical, and epistemological dimensions, ensuring a well-rounded perspective. Each chapter, authored by global experts, combines theoretical insights with real-world case studies to bridge the gap between AI and life sciences.Designed for graduate students, researchers, and professionals in bioinformatics, biomedical sciences, and pharmaceutical R&D, this volume equips readers with essential knowledge and tools to navigate the evolving landscape of AI in drug design. It empowers interdisciplinary learners to apply cutting-edge AI techniques to real-world biomedical challenges. – Presents foundational concepts in machine learning, deep learning, and cheminformatics, enabling readers to understand and apply AI techniques across the drug discovery pipeline – Bridges disciplines through interdisciplinary insights – Connects life sciences, computer science, and bioinformatics, offering a structured entry point for researchers from diverse academic backgrounds – Integrates real-world examples and applications to illustrate how AI tools are used in molecular screening, ADMET modeling, and pharmacokinetics prediction
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