The Era of Artificial Intelligence Machine Learning and Data Science in the Pharmaceutical Industry

Produk Detail:
  • Author : Stephanie K. Ashenden
  • Publisher : Academic Press
  • Pages : 264 pages
  • ISBN : 0128204494
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>The Era of Artificial Intelligence Machine Learning and Data Science in the Pharmaceutical Industry

Download or Read online The Era of Artificial Intelligence Machine Learning and Data Science in the Pharmaceutical Industry full in PDF, ePub and kindle. this book written by Stephanie K. Ashenden and published by Academic Press which was released on 23 April 2021 with total page 264 pages. We cannot guarantee that The Era of Artificial Intelligence Machine Learning and Data Science in the Pharmaceutical Industry book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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

The Era of Artificial Intelligence Machine Learning and Data Science in the Pharmaceutical Industry

The Era of Artificial Intelligence  Machine Learning  and Data Science in the Pharmaceutical Industry
  • Author : Stephanie K. Ashenden
  • Publisher : Academic Press
  • Release : 23 April 2021
GET THIS BOOK The Era of Artificial Intelligence Machine Learning and Data Science in the Pharmaceutical Industry

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

Artificial Intelligence in Pharmaceutical Sciences Drug Discovery

Artificial Intelligence in Pharmaceutical Sciences  Drug Discovery
  • Author : Dr Amit Gangwal
  • Publisher : Unknown
  • Release : 01 August 2020
GET THIS BOOK Artificial Intelligence in Pharmaceutical Sciences Drug Discovery

The book has been designed to cover all the basic topics and examples related to disruptive innovations and industry 4.0 in general and in particular, pharmaceutical sciences and other branches of healthcare sectors like medical and diagnostic. Major disruption is due to the advent of Artificial Intelligence, Machine Learning, Deep Learning, Blockchain, 3D Organ Printing and others. The book is ahead of its time in the sense that in entire country there is no such subject which is being taught in

Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare
  • Author : Adam Bohr,Kaveh Memarzadeh
  • Publisher : Academic Press
  • Release : 21 June 2020
GET THIS BOOK Artificial Intelligence in Healthcare

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its

Artificial Intelligence and Internet of Things

Artificial Intelligence and Internet of Things
  • Author : Lalit Mohan Goyal,Tanzila Saba,Amjad Rehman,Souad Larabi-Marie-Sainte
  • Publisher : CRC Press
  • Release : 25 August 2021
GET THIS BOOK Artificial Intelligence and Internet of Things

This book reveals the applications of AI and IoT in smart healthcare and medical systems. It provides core principles, algorithms, protocols, emerging trends, security problems, and the latest e-healthcare services findings. The book also provides case studies and discusses how AI and IoT applications such as wireless devices, sensors, and deep learning could play a major role in assisting patients, doctors, and pharmaceutical staff. It focuses on how to use AI and IoT to keep patients safe and healthy and,

Artificial Intelligence Machine Learning and Data Science Technologies

Artificial Intelligence  Machine Learning  and Data Science Technologies
  • Author : Neeraj Mohan,Ruchi Singla,Priyanka Kaushal,Seifedine Kadry
  • Publisher : CRC Press
  • Release : 12 October 2021
GET THIS BOOK Artificial Intelligence Machine Learning and Data Science Technologies

This book provides a comprehensive, conceptual, and detailed overview of the wide range of applications of Artificial Intelligence, Machine Learning, and Data Science and how these technologies have an impact on various domains such as healthcare, business, industry, security, and how all countries around the world are feeling this impact. The book aims at low-cost solutions which could be implemented even in developing countries. It highlights the significant impact these technologies have on various industries and on us as humans.

Artificial Intelligence and Deep Learning in Pathology

Artificial Intelligence and Deep Learning in Pathology
  • Author : Stanley Cohen
  • Publisher : Elsevier Health Sciences
  • Release : 02 June 2020
GET THIS BOOK Artificial Intelligence and Deep Learning in Pathology

Recent advances in computational algorithms, along with the advent of whole slide imaging as a platform for embedding artificial intelligence (AI), are transforming pattern recognition and image interpretation for diagnosis and prognosis. Yet most pathologists have just a passing knowledge of data mining, machine learning, and AI, and little exposure to the vast potential of these powerful new tools for medicine in general and pathology in particular. In Artificial Intelligence and Deep Learning in Pathology, Dr. Stanley Cohen covers the

Artificial Intelligence and Machine Learning in Healthcare

Artificial Intelligence and Machine Learning in Healthcare
  • Author : Ankur Saxena,Shivani Chandra
  • Publisher : Springer Nature
  • Release : 04 December 2021
GET THIS BOOK Artificial Intelligence and Machine Learning in Healthcare

This book reviews the application of artificial intelligence and machine learning in healthcare. It discusses integrating the principles of computer science, life science, and statistics incorporated into statistical models using existing data, discovering patterns in data to extract the information, and predicting the changes and diseases based on this data and models. The initial chapters of the book cover the practical applications of artificial intelligence for disease prognosis & management. Further, the role of artificial intelligence and machine learning is discussed

Artificial Intelligence in Oncology Drug Discovery and Development

Artificial Intelligence in Oncology Drug Discovery and Development
  • Author : John Cassidy,Belle Taylor
  • Publisher : BoD – Books on Demand
  • Release : 09 September 2020
GET THIS BOOK Artificial Intelligence in Oncology Drug Discovery and Development

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

Artificial Intelligence and Machine Learning in Business Management

Artificial Intelligence and Machine Learning in Business Management
  • Author : Sandeep Kumar Panda,Vaibhav Mishra,R. Balamurali,Ahmed A. Elngar
  • Publisher : CRC Press
  • Release : 13 October 2021
GET THIS BOOK Artificial Intelligence and Machine Learning in Business Management

The focus of this book is to introduce Artificial Intelligence (AI) and Machine Learning (ML) technologies into the context of Business Management. The book gives insights into the implementation and impact of AI and ML to business leaders, managers, technology developers, and implementers. With the maturing use of AI or ML in the field of business intelligence, this book examines several projects with innovative uses of AI beyond data organization and access. It follows the Predictive Modeling Toolkit for providing

An Industrial IoT Approach for Pharmaceutical Industry Growth

An Industrial IoT Approach for Pharmaceutical Industry Growth
  • Author : Valentina Emilia Balas,Vijender Kumar Solanki,Raghvendra Kumar
  • Publisher : Academic Press
  • Release : 15 May 2020
GET THIS BOOK An Industrial IoT Approach for Pharmaceutical Industry Growth

An Industrial IoT Approach for Pharmaceutical Industry Growth, Volume Two uses an innovative approach to explore how the Internet of Things (IoT) and big data can improve approaches and make discoveries. Rapid growth of the IoT has encouraged many companies in the manufacturing sector to make use of this technology to unlock its potential. Using clear language and real-world case studies, this book discusses systems level from both a human-factors point-of-view and the perspective of networking, databases, privacy and anti-spoofing.

Artificial intelligence for Drug Discovery and Development

Artificial intelligence for Drug Discovery and Development
  • Author : Jianfeng Pei,Alex Zhavoronkov
  • Publisher : Frontiers Media SA
  • Release : 16 November 2021
GET THIS BOOK Artificial intelligence for Drug Discovery and Development

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.

Healthcare 4 0

Healthcare 4 0
  • Author : Janya Chanchaichujit,Albert Tan,Fanwen Meng,Sarayoot Eaimkhong
  • Publisher : Springer
  • Release : 23 July 2019
GET THIS BOOK Healthcare 4 0

This book aims to demonstrate the benefits of implementing Industry 4.0 in healthcare services and to recommend a framework to support this implementation. Key topics in this book include: (1) Discovering emerging technologies and techniques to support Healthcare 4.0, this includes the Internet of Things (IOT) , Big data analytics, Blockchain, Artificial Intelligence (AI) , Optimisation and Predictive Analytics; (2) Illustrating some examples of such advanced implementation in Healthcare 4.0; (3) Recommending a development process to develop health technology start-ups and entrepreneurial activities; and (4) Discuss the transformation methodology

JMP Connections

JMP Connections
  • Author : John Wubbel
  • Publisher : John Wiley & Sons
  • Release : 23 October 2017
GET THIS BOOK JMP Connections

Achieve best-in-class metrics and get more from your data with JMP JMP Connections is the small- and medium-sized business owner's guide to exceeding customer expectations by getting more out of your data using JMP. Uniquely bifunctional, this book is divided into two parts: the first half of the book shows you what JMP can do for you. You'll discover how to wring every last drop of insight out of your data, and let JMP parse reams of raw numbers into

Research Anthology on Artificial Intelligence Applications in Security

Research Anthology on Artificial Intelligence Applications in Security
  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release : 27 November 2020
GET THIS BOOK Research Anthology on Artificial Intelligence Applications in Security

As industries are rapidly being digitalized and information is being more heavily stored and transmitted online, the security of information has become a top priority in securing the use of online networks as a safe and effective platform. With the vast and diverse potential of artificial intelligence (AI) applications, it has become easier than ever to identify cyber vulnerabilities, potential threats, and the identification of solutions to these unique problems. The latest tools and technologies for AI applications have untapped

Machine Learning for Healthcare Applications

Machine Learning for Healthcare Applications
  • Author : Sachi Nandan Mohanty,G. Nalinipriya,Om Prakash Jena,Achyuth Sarkar
  • Publisher : John Wiley & Sons
  • Release : 04 May 2021
GET THIS BOOK Machine Learning for Healthcare Applications

When considering the idea of using machine learning in healthcare, it is a Herculean task to present the entire gamut of information in the field of intelligent systems. It is, therefore the objective of this book to keep the presentation narrow and intensive. This approach is distinct from others in that it presents detailed computer simulations for all models presented with explanations of the program code. It includes unique and distinctive chapters on disease diagnosis, telemedicine, medical imaging, smart health