Computational and Data-Driven Approaches in Pharmaceutical Sciences: From Molecular Modelling to Evidence-Based Therapeutics: Integrating in Silico Me
暫譯: 藥物科學中的計算與數據驅動方法：從分子建模到基於證據的治療：整合 in Silico 方法

Aziz, Zoriah, Alshehade, Salah, Badrul Hisham, Muhammad Danish Bin

Computational and Data-Driven Approaches in Pharmaceutical Sciences: From Molecular Modelling to Evidence-Based Therapeutics: Integrating in Silico Me
  • 出版商: Springer
  • 出版日期: 2026-04-07
  • 售價: $10,190
  • 貴賓價: 9.5 折 $9,680
  • 語言: 英文
  • 頁數: 356
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3032188806
  • ISBN-13: 9783032188809
  • 相關分類: AI Coding

    • 海外代購書籍(需單獨結帳)

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商品描述

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.

商品描述(中文翻譯)

本書匯集了一系列經過嚴格同行評審的研究論文，反映了藥學、臨床治療和醫療保健分析方法的最新發展。本書涵蓋了廣泛的主題，包括計算藥物發現與分子建模、先進的藥物配方與奈米技術、透過系統性回顧與統合分析進行的證據綜合、藥物基因組學，以及人工智慧在醫療實踐中的應用。本書展示了健全的方法論和科學相關性，強調轉譯研究和藥學及健康科學中的新興實踐。

本書旨在為藥學和健康科學的研究人員、學者、研究生及專業人士提供參考，匯集了經過同行評審的學術作品，並為支持基於證據的、技術驅動的醫療保健實踐的日益增長的索引文獻貢獻力量。

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