Data Science Ai And Machine Learning In Drug Development
Download Data Science Ai And Machine Learning In Drug Development full books in PDF, epub, and Kindle. Read online free Data Science Ai And Machine Learning In Drug Development ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Data Science AI and Machine Learning in Drug Development
Author | : Harry Yang |
Publsiher | : CRC Press |
Total Pages | : 335 |
Release | : 2022-10-04 |
Genre | : Business & Economics |
ISBN | : 9781000652673 |
Download Data Science AI and Machine Learning in Drug Development Book in PDF, Epub and Kindle
The confluence of big data, artificial intelligence (AI), and machine learning (ML) has led to a paradigm shift in how innovative medicines are developed and healthcare delivered. To fully capitalize on these technological advances, it is essential to systematically harness data from diverse sources and leverage digital technologies and advanced analytics to enable data-driven decisions. Data science stands at a unique moment of opportunity to lead such a transformative change. Intended to be a single source of information, Data Science, AI, and Machine Learning in Drug Research and Development covers a wide range of topics on the changing landscape of drug R & D, emerging applications of big data, AI and ML in drug development, and the build of robust data science organizations to drive biopharmaceutical digital transformations. Features Provides a comprehensive review of challenges and opportunities as related to the applications of big data, AI, and ML in the entire spectrum of drug R & D Discusses regulatory developments in leveraging big data and advanced analytics in drug review and approval Offers a balanced approach to data science organization build Presents real-world examples of AI-powered solutions to a host of issues in the lifecycle of drug development Affords sufficient context for each problem and provides a detailed description of solutions suitable for practitioners with limited data science expertise
Data Science AI and Machine Learning in Drug Development
Author | : Harry Yang |
Publsiher | : Unknown |
Total Pages | : 0 |
Release | : 2022-10 |
Genre | : Artificial intelligence |
ISBN | : 0367714418 |
Download Data Science AI and Machine Learning in Drug Development Book in PDF, Epub and Kindle
The confluence of big data, AI, and machine learning has led to a paradigm shift in how innovative medicines are developed and healthcare delivered. To fully capitalize on these technological advances, it is essential to systematically harness data from diverse sources and leverage digital technologies and advanced analytics to enable data-driven decisions. Data science stands at a unique moment of opportunity to lead such a transformative change. Intended to be a single source of information, Data Science, AI, and Machine Learning in Drug Research and Development covers a wide range of topics on the changing landscape of drug R&D, emerging applications of big data, AI and machine learning in drug development, and the build of robust data science organizations to drive biopharmaceutical digital transformations. Features Provides a comprehensive review of challenges and opportunities as related to the applications of big data, AI, and machine learning in the entire spectrum of drug R&D Discusses regulatory developments in leveraging big data and advanced analytics in drug review and approval Offers a balanced approach to data science organization build Presents real-world examples of AI-powered solutions to a host of issues in the lifecycle of drug development Affords sufficient context for each problem and provides detailed description of solutions suitable for practitioners with limited data science expertise
The Era of Artificial Intelligence Machine Learning and Data Science in the Pharmaceutical Industry
Author | : Stephanie K. Ashenden |
Publsiher | : Academic Press |
Total Pages | : 266 |
Release | : 2021-04-23 |
Genre | : Computers |
ISBN | : 9780128204498 |
Download The Era of Artificial Intelligence Machine Learning and Data Science in the Pharmaceutical Industry Book in PDF, Epub and Kindle
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
Artificial Intelligence for Drug Development Precision Medicine and Healthcare
Author | : Mark Chang |
Publsiher | : CRC Press |
Total Pages | : 352 |
Release | : 2020-05-07 |
Genre | : Business & Economics |
ISBN | : 9781000766721 |
Download Artificial Intelligence for Drug Development Precision Medicine and Healthcare Book in PDF, Epub and Kindle
Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare covers exciting developments at the intersection of computer science and statistics. While much of machine-learning is statistics-based, achievements in deep learning for image and language processing rely on computer science’s use of big data. Aimed at those with a statistical background who want to use their strengths in pursuing AI research, the book: · Covers broad AI topics in drug development, precision medicine, and healthcare. · Elaborates on supervised, unsupervised, reinforcement, and evolutionary learning methods. · Introduces the similarity principle and related AI methods for both big and small data problems. · Offers a balance of statistical and algorithm-based approaches to AI. · Provides examples and real-world applications with hands-on R code. · Suggests the path forward for AI in medicine and artificial general intelligence. As well as covering the history of AI and the innovative ideas, methodologies and software implementation of the field, the book offers a comprehensive review of AI applications in medical sciences. In addition, readers will benefit from hands on exercises, with included R code.
Artificial Intelligence in Drug Discovery
Author | : Nathan Brown |
Publsiher | : Royal Society of Chemistry |
Total Pages | : 425 |
Release | : 2020-11-04 |
Genre | : Computers |
ISBN | : 9781839160547 |
Download Artificial Intelligence in Drug Discovery Book in PDF, Epub and Kindle
Following significant advances in deep learning and related areas interest in artificial intelligence (AI) has rapidly grown. In particular, the application of AI in drug discovery provides an opportunity to tackle challenges that previously have been difficult to solve, such as predicting properties, designing molecules and optimising synthetic routes. Artificial Intelligence in Drug Discovery aims to introduce the reader to AI and machine learning tools and techniques, and to outline specific challenges including designing new molecular structures, synthesis planning and simulation. Providing a wealth of information from leading experts in the field this book is ideal for students, postgraduates and established researchers in both industry and academia.
Artificial intelligence for Drug Discovery and Development
Author | : Jianfeng Pei,Alex Zhavoronkov |
Publsiher | : Frontiers Media SA |
Total Pages | : 229 |
Release | : 2021-11-16 |
Genre | : Science |
ISBN | : 9782889716494 |
Download Artificial intelligence for Drug Discovery and Development Book in PDF, Epub and Kindle
Topic editor Alex Zhavoronkov is the founder of Insilico Medicine, a company specializing in AI research. He is also a professor at the Buck Institute for Research on Aging. All other Topic Editors declare no competing interests with regards to the Research Topic subject.
AI to machine learning in Pharmaceuticals
Author | : Satyabrata Jena,Dr. Narottam Pal, Dr. V Mohan Goud,Prof. (Dr.) KNV Rao |
Publsiher | : AG PUBLISHING HOUSE (AGPH Books) |
Total Pages | : 224 |
Release | : 2022-11-16 |
Genre | : Study Aids |
ISBN | : 9789395936750 |
Download AI to machine learning in Pharmaceuticals Book in PDF, Epub and Kindle
The convergence of big data, artificial intelligence (AI), and machine learning (ML) has resulted in a paradigm change in the manner in which novel medications are generated and healthcare is given. It is vital to systematically harness data from varied sources and utilize digital technologies and sophisticated analytics in order to allow data-driven decision making in order to fully capitalize on the breakthroughs in technology that have been made in recent years. The field of data science is now in a position where it has an unparalleled chance to steer such a paradigm shift. This book provides a high-level overview of fundamental concepts in algorithmic theory, data representation techniques, and generative modelling. Use the discovery of antibiotics as a case study in machine learning applied to the production of drugs, and then examine several applications in drug-likeness prediction, antimicrobial resistance, & avenues for further investigation. In the most recent years, there has been a marked increase in the application of machine learning algorithms to the process of drug discovery, and this book offers a comprehensive overview of the rapidly developing field. An introduction to the ways in which machine learning iv and artificial intelligence are being used in the pharmaceutical industry. The introductory discussion focuses on the use of machine learning to better understand medication-target interactions as a means of enhancing drug delivery as well as healthcare and medical systems. In addition to this, give subjects on medication repurposing using machine learning, drug designing, and finally, address drug combinations that are recommended to patients who have several or complicated diseases.
Artificial Intelligence in Oncology Drug Discovery and Development
Author | : John Cassidy,Belle Taylor |
Publsiher | : BoD – Books on Demand |
Total Pages | : 194 |
Release | : 2020-09-09 |
Genre | : Medical |
ISBN | : 9781789846898 |
Download Artificial Intelligence in Oncology Drug Discovery and Development Book in PDF, Epub and Kindle
There exists a profound conflict at the heart of oncology drug development. The efficiency of the drug development process is falling, leading to higher costs per approved drug, at the same time personalised medicine is limiting the target market of each new medicine. Even as the global economic burden of cancer increases, the current paradigm in drug development is unsustainable. In this book, we discuss the development of techniques in machine learning for improving the efficiency of oncology drug development and delivering cost-effective precision treatment. We consider how to structure data for drug repurposing and target identification, how to improve clinical trials and how patients may view artificial intelligence.