In Silico Dreams

Download In Silico Dreams full books in PDF, epub, and Kindle. Read online free In Silico Dreams ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

In Silico Dreams

In Silico Dreams
Author :
Publisher : John Wiley & Sons
Total Pages : 301
Release :
ISBN-10 : 9781119745631
ISBN-13 : 1119745632
Rating : 4/5 (632 Downloads)

Book Synopsis In Silico Dreams by : Brian S. Hilbush

Download or read book In Silico Dreams written by Brian S. Hilbush and published by John Wiley & Sons. This book was released on 2021-07-28 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how AI and data science are upending the worlds of biology and medicine In Silico Dreams: How Artificial Intelligence and Biotechnology Will Create the Medicines of the Future delivers an illuminating and fresh perspective on the convergence of two powerful technologies: AI and biotech. Accomplished genomics expert, executive, and author Brian Hilbush offers readers a brilliant exploration of the most current work of pioneering tech giants and biotechnology startups who have already started disrupting healthcare. The book provides an in-depth understanding of the sources of innovation that are driving the shift in the pharmaceutical industry away from serendipitous therapeutic discovery and toward engineered medicines and curative therapies. In this fascinating book, you'll discover: An overview of the rise of data science methods and the paradigm shift in biology that led to the in silico revolution An outline of the fundamental breakthroughs in AI and deep learning and their applications across medicine A compelling argument for the notion that AI and biotechnology tools will rapidly accelerate the development of therapeutics A summary of innovative breakthroughs in biotechnology with a focus on gene editing and cell reprogramming technologies for therapeutic development A guide to the startup landscape in AI in medicine, revealing where investments are poised to shape the innovation base for the pharmaceutical industry Perfect for anyone with an interest in scientific topics and technology, In Silico Dreams also belongs on the bookshelves of decision-makers in a wide range of industries, including healthcare, technology, venture capital, and government.


In Silico Dreams Related Books

In Silico Dreams
Language: en
Pages: 301
Authors: Brian S. Hilbush
Categories: Technology & Engineering
Type: BOOK - Published: 2021-07-28 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Learn how AI and data science are upending the worlds of biology and medicine In Silico Dreams: How Artificial Intelligence and Biotechnology Will Create the Me
Encyclopedia of Sleep and Dreams [2 volumes]
Language: en
Pages: 932
Authors: Deirdre Barrett
Categories: Psychology
Type: BOOK - Published: 2012-06-12 - Publisher: Bloomsbury Publishing USA

DOWNLOAD EBOOK

This fascinating reference covers the major topics concerning dreaming and sleep, based on the latest empirical evidence from sleep research as well as drawn fr
Unleashing the Startup Unicorn
Language: en
Pages: 299
Authors: Vivek Kale
Categories: Business & Economics
Type: BOOK - Published: 2024-01-30 - Publisher: Business Expert Press

DOWNLOAD EBOOK

It is well known that high-tech startups need to innovate to survive, yet the failure rate for innovation is shockingly high. Nearly three out of four new produ
In Silico Approach for Sustainable Agriculture
Language: en
Pages: 310
Authors: Devendra K. Choudhary
Categories: Science
Type: BOOK - Published: 2018-07-23 - Publisher: Springer

DOWNLOAD EBOOK

This book explores the role of in silico deployment in connection with modulation techniques for improving sustainability and competitiveness in the agri-food s
In Silico Technologies in Drug Target Identification and Validation
Language: en
Pages: 510
Authors: Darryl Leon
Categories: Medical
Type: BOOK - Published: 2006-06-13 - Publisher: CRC Press

DOWNLOAD EBOOK

The pharmaceutical industry relies on numerous well-designed experiments involving high-throughput techniques and in silico approaches to analyze potential drug