Artificial Intelligence for Drug Development Precision Medicine and Healthcare

Download or Read online Artificial Intelligence for Drug Development Precision Medicine and Healthcare full in PDF, ePub and kindle. This book written by Mark Chang and published by CRC Press which was released on 12 May 2020 with total pages 352. We cannot guarantee that Artificial Intelligence for Drug Development Precision Medicine and Healthcare book is available in the library, click Get Book button to download or read online books. Join over 650.000 happy Readers and READ as many books as you like.

Artificial Intelligence for Drug Development  Precision Medicine  and Healthcare
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Publisher : CRC Press
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ISBN : 9781000767308
Pages : 352 pages
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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 for Drug Development  Precision Medicine  and Healthcare

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

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Precision Medicine and Artificial Intelligence

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Artificial Intelligence in Precision Health

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Precision Medicine in Cancer Therapy

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Artificial Intelligence In Medicine

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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

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Deep Medicine

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Machine Learning in Cardiovascular Medicine

Machine Learning in Cardiovascular Medicine addresses the ever-expanding applications of artificial intelligence (AI), specifically machine learning (ML), in healthcare and within cardiovascular medicine. The book focuses on emphasizing ML for biomedical applications and provides a comprehensive summary of the past and present of AI, basics of ML, and clinical applications

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Frontiers in Psychiatry

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The Broad Autism Phenotype

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Precision Public Health

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Precision Medicine for Investigators  Practitioners and Providers

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This open access volume focuses on the development of a P5 eHealth, or better, a methodological resource for developing the health technologies of the future, based on patients’ personal characteristics and needs as the fundamental guidelines for design. It provides practical guidelines and evidence based examples on how to design,

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