Drug Development Supported by Informatics PDF Download

Author: Hiroko Satoh
Publisher: Springer Nature
ISBN: 9819748283
Category :
Languages : en
Pages : 358

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Author: Deepak Gupta
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110668327
Category : Computers
Languages : en
Pages : 326

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Book Description
This book collects research works of data-driven medical diagnosis done via Artificial Intelligence based solutions, such as Machine Learning, Deep Learning and Intelligent Optimization. Physical devices powered with Artificial Intelligence are gaining importance in diagnosis and healthcare. Medical data from different sources can also be analyzed via Artificial Intelligence techniques for more effective results.

Author: Carlos Gershenson
Publisher: Frontiers Media SA
ISBN: 2889667812
Category : Science
Languages : en
Pages : 116

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Book Description

Author: Cheng Liu
Publisher: Springer Nature
ISBN: 9811916411
Category : Science
Languages : en
Pages : 311

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Book Description
In this book, computational optical phase imaging techniques are presented along with Matlab codes that allow the reader to run their own simulations and gain a thorough understanding of the current state-of-the-art. The book focuses on modern applications of computational optical phase imaging in engineering measurements and biomedical imaging. Additionally, it discusses the future of computational optical phase imaging, especially in terms of system miniaturization and deep learning-based phase retrieval.

Author:
Publisher: Elsevier
ISBN: 0443132577
Category : Science
Languages : en
Pages : 272

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Book Description
Stem Cells in Neurotoxicology, Volume Twelve in the Advances in Neurotoxicology series, presents interesting chapters written by an international board of authors. Chapters in this new release include Brain organoids as a translational model of human developmental neurotoxicity, Self-organizing human neuronal cultures in the modeling of environmental impacts on learning and intelligence, Utilization of human stem cell/neural progenitor tests to examine neurotoxic impacts on differentiation, Characterization of neuronal and other cellular sub-types in human stem cell cortical neuron differentiations, Utility of human stem cell models to study persistent neurotoxicity, and Utility of human stem cell models to study chronic neurotoxicity. - Provides the latest information on Neurotoxicology - Offers outstanding and original reviews on Neurotoxicology - Serves as an indispensable reference for researchers and students alike

Author: Yun Fang
Publisher: Frontiers Media SA
ISBN: 2832509061
Category : Medical
Languages : en
Pages : 167

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Book Description

Author: Alastair D. Burt
Publisher: Elsevier Health Sciences
ISBN: 0702082295
Category : Medical
Languages : en
Pages : 1139

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Book Description
Written and edited by an international team of renowned authorities, MacSween's Pathology of the Liver, 8th Edition, remains the field's definitive reference on liver pathology. This must-have text is ideal for surgical pathologists in practice and in training who examine liver specimens on a day-to-day basis. It provides invaluable assistance in recognizing the huge variety of appearances of the liver that result from infections, tumors, and tumor-like lesions, as well as organ damage caused by drugs and toxins. With expert, comprehensive coverage of all malignant and benign hepatobiliary disorders, MacSween's is a convenient, one-stop resource for use in the reporting room as well as in personal study. - Shares the knowledge and experience of a "who's who" list of experts in the field of hepatobiliary pathology, led by editors Alastair D. Burt, Linda D. Ferrell, and Stefan G. Hübscher. - Features more than 1,000 high-quality, full color illustrations, providing a complete visual guide to each tumor or tumor-like lesion. - Discusses advances in molecular diagnostic testing, its capabilities, and its limitations, including targeted/personalized medicine. - Incorporates the latest TNM staging and WHO classification systems, as well as new diagnostic biomarkers and their utility in differential diagnosis, newly described variants, and new histologic entities. - Includes relevant data from ancillary techniques (immunohistochemistry, cytogenetics, and molecular genetics), giving you the necessary tools required to master the latest breakthroughs in diagnostic technology. - Provides you with all of the necessary diagnostic tools to make a complete and accurate pathologic report, including clinicopathologic background throughout. - Directs you to the most recent and authoritative sources for further reading with a comprehensive reference list that highlights key articles and up-to-date citations. - An eBook version is included with purchase. The eBook allows you to access all of the text, figures and references, with the ability to search, customize your content, make notes and highlights, and have content read aloud.

Author: Philippe Isope
Publisher: Frontiers Media SA
ISBN: 2889660001
Category : Medical
Languages : en
Pages : 223

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Book Description
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.

Author: João O. Malva
Publisher: Frontiers Media SA
ISBN: 2889717259
Category : Science
Languages : en
Pages : 498

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Book Description

Author: Jean-Pierre Briot
Publisher: Springer
ISBN: 3319701630
Category : Computers
Languages : en
Pages : 303

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Book Description
This book is a survey and analysis of how deep learning can be used to generate musical content. The authors offer a comprehensive presentation of the foundations of deep learning techniques for music generation. They also develop a conceptual framework used to classify and analyze various types of architecture, encoding models, generation strategies, and ways to control the generation. The five dimensions of this framework are: objective (the kind of musical content to be generated, e.g., melody, accompaniment); representation (the musical elements to be considered and how to encode them, e.g., chord, silence, piano roll, one-hot encoding); architecture (the structure organizing neurons, their connexions, and the flow of their activations, e.g., feedforward, recurrent, variational autoencoder); challenge (the desired properties and issues, e.g., variability, incrementality, adaptability); and strategy (the way to model and control the process of generation, e.g., single-step feedforward, iterative feedforward, decoder feedforward, sampling). To illustrate the possible design decisions and to allow comparison and correlation analysis they analyze and classify more than 40 systems, and they discuss important open challenges such as interactivity, originality, and structure. The authors have extensive knowledge and experience in all related research, technical, performance, and business aspects. The book is suitable for students, practitioners, and researchers in the artificial intelligence, machine learning, and music creation domains. The reader does not require any prior knowledge about artificial neural networks, deep learning, or computer music. The text is fully supported with a comprehensive table of acronyms, bibliography, glossary, and index, and supplementary material is available from the authors' website.