Artificial Intelligence Applied To Target Tracking Phase Ii Implementation
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Author | : Adam Bohr |
Publisher | : Academic Press |
Total Pages | : 385 |
Release | : 2020-06-21 |
Genre | : Computers |
ISBN | : 0128184396 |
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 applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Author | : |
Publisher | : |
Total Pages | : 326 |
Release | : 1963 |
Genre | : Aeronautics |
ISBN | : |
Author | : |
Publisher | : |
Total Pages | : 764 |
Release | : 1989 |
Genre | : Military research |
ISBN | : |
Author | : Nathan Brown |
Publisher | : Royal Society of Chemistry |
Total Pages | : 425 |
Release | : 2020-11-04 |
Genre | : Computers |
ISBN | : 1839160543 |
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.
Author | : Subhransu Sekhar Dash |
Publisher | : Springer |
Total Pages | : 714 |
Release | : 2018-03-19 |
Genre | : Technology & Engineering |
ISBN | : 9811078688 |
The book is a collection of high-quality peer-reviewed research papers presented in the International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems (ICAIECES 2017). The book discusses wide variety of industrial, engineering and scientific applications of the emerging techniques. Researchers from academia and industry have presented their original work and ideas, information, techniques and applications in the field of communication, computing and power technologies.
Author | : Vikash Yadav |
Publisher | : Bentham Science Publishers |
Total Pages | : 232 |
Release | : 2022-10-04 |
Genre | : Computers |
ISBN | : 1681089688 |
This book is a review of recent artificial intelligence approaches, initiatives and applications in engineering and science fields. It features contributions that highlight the use of techniques such as machine learning, mining engineering, modeling and simulation, and fuzzy logic methods in the fields of communication, networking and information engineering. The collection of chapters should inspire scholars involved in theoretical and applied sciences to contribute to research using computational intelligence principles and methods in their respective research communities. Professionals working on systems engineering, communications, innovative computing systems and adaptive technologies for sustainable growth, will also be able to benefit from the information provided in the book.
Author | : United States. Congress. House. Committee on Veterans' Affairs. Subcommittee on Disability Assistance and Memorial Affairs |
Publisher | : |
Total Pages | : 108 |
Release | : 2008 |
Genre | : Computer science |
ISBN | : |
Author | : Seth Kwabena Amponsah |
Publisher | : Springer Nature |
Total Pages | : 384 |
Release | : 2022-10-25 |
Genre | : Medical |
ISBN | : 3031123980 |
This book gives an overview of therapeutic drug monitoring (TDM) and its clinical application. It also highlights recent advances in toxicological studies, as they relate to therapeutic drug monitoring. This is one of the few books available on the market that covers TDM. Therapeutic drug monitoring (TDM) is a clinical decision-making tool that enables dosage regimen adjustments based on clinical and laboratory measurements. TDM not only involves the measuring of drug concentrations but also interpretation of the results. There is a strong correlation between drug concentrations in body fluids and outcome than between dose and outcome. The chapters include coverage of analytical techniques, pharmacokinetics, therapeutic indices, artificial intelligence and recent advances in toxicological studies. The book fills a gap in published literature and provides reliable information on; Analytical techniques in TDM and clinical toxicology TDM and pharmacokinetic studies TDM of drugs with narrow therapeutic indices Artificial intelligence in TDM and clinical toxicology Future directions and challenges
Author | : |
Publisher | : |
Total Pages | : 500 |
Release | : 1995 |
Genre | : Aeronautics |
ISBN | : |
Author | : Australian Science And Technology Council Staff |
Publisher | : |
Total Pages | : 326 |
Release | : 1992 |
Genre | : Research, Industrial |
ISBN | : |