Pharmaceutical Data Mining
Title | Pharmaceutical Data Mining PDF eBook |
Author | Konstantin V. Balakin |
Publisher | John Wiley & Sons |
Pages | 584 |
Release | 2009-11-19 |
Genre | Medical |
ISBN | 0470567619 |
Leading experts illustrate how sophisticated computational data mining techniques can impact contemporary drug discovery and development In the era of post-genomic drug development, extracting and applying knowledge from chemical, biological, and clinical data is one of the greatest challenges facing the pharmaceutical industry. Pharmaceutical Data Mining brings together contributions from leading academic and industrial scientists, who address both the implementation of new data mining technologies and application issues in the industry. This accessible, comprehensive collection discusses important theoretical and practical aspects of pharmaceutical data mining, focusing on diverse approaches for drug discovery—including chemogenomics, toxicogenomics, and individual drug response prediction. The five main sections of this volume cover: A general overview of the discipline, from its foundations to contemporary industrial applications Chemoinformatics-based applications Bioinformatics-based applications Data mining methods in clinical development Data mining algorithms, technologies, and software tools, with emphasis on advanced algorithms and software that are currently used in the industry or represent promising approaches In one concentrated reference, Pharmaceutical Data Mining reveals the role and possibilities of these sophisticated techniques in contemporary drug discovery and development. It is ideal for graduate-level courses covering pharmaceutical science, computational chemistry, and bioinformatics. In addition, it provides insight to pharmaceutical scientists, principal investigators, principal scientists, research directors, and all scientists working in the field of drug discovery and development and associated industries.
Data Mining in Drug Discovery
Title | Data Mining in Drug Discovery PDF eBook |
Author | |
Publisher | |
Pages | 347 |
Release | 2014 |
Genre | Data mining |
ISBN | 9782527655994 |
Application of Data Mining in Pharmaceutical Research
Title | Application of Data Mining in Pharmaceutical Research PDF eBook |
Author | Zhenyu Pan |
Publisher | Frontiers Media SA |
Pages | 115 |
Release | 2024-03-07 |
Genre | Science |
ISBN | 2832545874 |
A Gold Mine of Information
Title | A Gold Mine of Information PDF eBook |
Author | Ashley Goren |
Publisher | |
Pages | 94 |
Release | 2013 |
Genre | Drugs |
ISBN |
The Era of Artificial Intelligence, Machine Learning, and Data Science in the Pharmaceutical Industry
Title | The Era of Artificial Intelligence, Machine Learning, and Data Science in the Pharmaceutical Industry PDF eBook |
Author | Stephanie K. Ashenden |
Publisher | Academic Press |
Pages | 266 |
Release | 2021-04-23 |
Genre | Computers |
ISBN | 0128204494 |
The Era of Artificial Intelligence, Machine Learning and Data Science in the Pharmaceutical Industry examines the drug discovery process, assessing how new technologies have improved effectiveness. Artificial intelligence and machine learning are considered the future for a wide range of disciplines and industries, including the pharmaceutical industry. In an environment where producing a single approved drug costs millions and takes many years of rigorous testing prior to its approval, reducing costs and time is of high interest. This book follows the journey that a drug company takes when producing a therapeutic, from the very beginning to ultimately benefitting a patient’s life. This comprehensive resource will be useful to those working in the pharmaceutical industry, but will also be of interest to anyone doing research in chemical biology, computational chemistry, medicinal chemistry and bioinformatics. Demonstrates how the prediction of toxic effects is performed, how to reduce costs in testing compounds, and its use in animal research Written by the industrial teams who are conducting the work, showcasing how the technology has improved and where it should be further improved Targets materials for a better understanding of techniques from different disciplines, thus creating a complete guide
Data Mining in Medical and Biological Research
Title | Data Mining in Medical and Biological Research PDF eBook |
Author | Eugenia Giannopoulou |
Publisher | BoD – Books on Demand |
Pages | 334 |
Release | 2008-11-01 |
Genre | Medical |
ISBN | 9537619303 |
This book intends to bring together the most recent advances and applications of data mining research in the promising areas of medicine and biology from around the world. It consists of seventeen chapters, twelve related to medical research and five focused on the biological domain, which describe interesting applications, motivating progress and worthwhile results. We hope that the readers will benefit from this book and consider it as an excellent way to keep pace with the vast and diverse advances of new research efforts.
A Prototype Data-mining System for Pharmaceutical Post-marketing Surveillance
Title | A Prototype Data-mining System for Pharmaceutical Post-marketing Surveillance PDF eBook |
Author | Sara Jenkins-Jones |
Publisher | |
Pages | 408 |
Release | 2005 |
Genre | Data mining |
ISBN |