AI-Driven Drug Delivery Systems and Pharmaceutical Innovations | Exploring AI-Driven Innovations in Drug Delivery, Formulation Design, and Personalized Pharmaceutical Care

Sonia Narwal (u. a.)

ISBN 10: 6209745393 / ISBN 13: 9786209745393

Published by LAP LAMBERT Academic Publishing, 2026

About this Item

AI-Driven Drug Delivery Systems and Pharmaceutical Innovations | Exploring AI-Driven Innovations in Drug Delivery, Formulation Design, and Personalized Pharmaceutical Care | Sonia Narwal (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209745393 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.

Seller Inventory # 135135571

Bibliographic Details

• Title: AI-Driven Drug Delivery Systems and Pharmaceutical Innovations | Exploring AI-Driven Innovations in Drug Delivery, Formulation Design, and Personalized Pharmaceutical Care
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2026
• Language: English
• ISBN 10: 6209745393
• ISBN 13: 9786209745393
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 6D millimeters 220 millimeters width by 150 millimeters height by 6 millimeters depth
• Weight: 143 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This book provides a comprehensive overview of the transformative role of artificial intelligence (AI) in pharmaceutical sciences, with a special focus on drug delivery systems. It explores how advanced AI techniques such as machine learning, deep learning, and predictive modeling are revolutionizing traditional approaches to drug development, formulation design, and therapeutic optimization. The text highlights the limitations of conventional drug delivery methods and presents innovative AI-driven solutions for controlled, targeted, and personalized drug delivery.Key topics include smart drug delivery systems, nanotechnology-based carriers, and stimuli-responsive platforms that enhance drug efficacy and reduce side effects. The book also discusses the application of AI in formulation optimization, pharmacokinetics, pharmacodynamics, and clinical trials, enabling faster and more efficient drug development processes. In addition, it addresses emerging trends such as precision medicine, biomarker-based targeting, and patient-specific dosing. Regulatory, ethical, and data privacy considerations are also examined to ensure responsible implementation of AI in healthcare.