Generative AI for Drug Discovery and Development

Kumar, Rakesh

  • 出版商: Independently Published
  • 出版日期: 2024-06-07
  • 售價: $2,340
  • 貴賓價: 9.5$2,223
  • 語言: 英文
  • 頁數: 192
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9798327877184
  • ISBN-13: 9798327877184
  • 相關分類: 人工智慧
  • 海外代購書籍(需單獨結帳)

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商品描述

In recent years, the intersection of artificial intelligence (AI) and drug discovery has sparked a revolution in pharmaceutical research. The integration of generative AI techniques has opened new frontiers in the quest for novel therapeutics, offering unprecedented opportunities to accelerate drug discovery and development processes. "Generative AI for Drug Discovery and Development" explores the transformative potential of AI-driven approaches in revolutionizing the pharmaceutical industry.

This book serves as a comprehensive guide to the application of generative AI methodologies in drug discovery, covering a wide range of topics including molecular generation, compound screening, predictive modeling, and ethical considerations. Through a combination of theoretical insights, practical methodologies, and real-world case studies, it offers readers a deep understanding of the principles, challenges, and opportunities inherent in the use of AI for drug discovery.

From the historical evolution of generative AI in pharmaceutical research to the latest advancements in deep learning techniques for compound optimization, each chapter delves into key aspects of the drug discovery process and provides valuable insights into how AI-driven approaches are reshaping the landscape of drug development. Additionally, the book addresses critical considerations such as data quality, interpretability, and ethical implications, ensuring a holistic understanding of the opportunities and challenges posed by generative AI in drug discovery.

Written for researchers, practitioners, and students alike, "Generative AI for Drug Discovery and Development" aims to demystify the complexities of AI-driven drug discovery and empower readers with the knowledge and tools needed to harness the full potential of generative AI in advancing pharmaceutical research. Whether you are a seasoned scientist seeking to stay abreast of the latest innovations or a newcomer looking to explore the cutting-edge technologies shaping the future of medicine, this book offers invaluable insights into the transformative power of generative AI in drug discovery and development.

商品描述(中文翻譯)

近年來,人工智慧(AI)與藥物發現的交集引發了製藥研究的革命。生成式AI技術的整合為尋求新型療法開啟了新的前沿,提供了前所未有的機會來加速藥物發現和開發過程。《Generative AI for Drug Discovery and Development》探討了AI驅動的方法在改變製藥行業中的變革潛力。

本書作為生成式AI方法在藥物發現應用的綜合指南,涵蓋了包括分子生成、化合物篩選、預測建模和倫理考量等廣泛主題。通過理論見解、實用方法論和真實案例研究的結合,為讀者提供了對於使用AI進行藥物發現的原則、挑戰和機會的深入理解。

從生成式AI在製藥研究中的歷史演變到最新的深度學習技術在化合物優化中的進展,每一章都深入探討了藥物發現過程中的關鍵方面,並提供了有關AI驅動的方法如何重塑藥物開發領域的寶貴見解。此外,本書還針對數據質量、可解釋性和倫理影響等關鍵考量進行了探討,確保對生成式AI在藥物發現中所帶來的機會和挑戰有全面的理解。

《Generative AI for Drug Discovery and Development》旨在為研究人員、實務工作者和學生解開AI驅動的藥物發現的複雜性,並賦予讀者所需的知識和工具,以充分發揮生成式AI在推進製藥研究中的潛力。無論您是希望跟上最新創新的一位資深科學家,還是希望探索塑造未來醫學的尖端技術的新手,本書都提供了對生成式AI在藥物發現和開發中變革力量的寶貴見解。