AI for Immunology

Louis J. Catania (Autor)

Buch | Hardcover

160 Seiten

2021
CRC Press (Verlag)
978-0-367-68521-8 (ISBN)

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The bioscience of immunology has given us a better understanding of human health and disease. Artificial intelligence (AI) has elevated that understanding and its applications in immunology to new levels. Together, AI for immunology is an advancing horizon in health care, disease diagnosis, and prevention. From the simple cold to the most advanced autoimmune disorders and now pandemics, AI for immunology is unlocking the causes and cures.

Key features:

A highly accessible and wide-ranging short introduction to AI for immunology

Includes a chapter on COVID-19 and pandemics

Includes scientific and clinical considerations, as well as immune and autoimmune diseases

Dr. Louis J. ("Lou") Catania is an internationally acclaimed educator, a recognized expert in eye care, health care, AI, and disruptive technologies in bioscience. He has authored over 160 journal articles and nine textbooks including Primary Care of the Anterior Segment from Appleton and Lange, which received Baron's Five Star (highest) rating for medical textbooks.

Preface. Acknowledgments. Author. 1 Understanding artificial intelligence (AI). 2 AI and the bioscience and clinical considerations for immunology. 3 AI and chronic inflammation. 4 AI and autoimmunity. 5 AI and immunology considerations in pandemics and SARS-CoV-2 COVID-19. 6 Emerging trends and future directions for AI in Immunology. Index.

Erscheinungsdatum	29.01.2021
Reihe/Serie	AI for Everything
Zusatzinfo	11 Line drawings, black and white; 11 Illustrations, black and white
Verlagsort	London
Sprache	englisch
Maße	129 x 198 mm
Gewicht	453 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Medizin / Pharmazie ► Allgemeines / Lexika
	Studium ► Querschnittsbereiche ► Infektiologie / Immunologie
	Naturwissenschaften ► Biologie
	Technik ► Umwelttechnik / Biotechnologie
ISBN-10	0-367-68521-3 / 0367685213
ISBN-13	978-0-367-68521-8 / 9780367685218
Zustand	Neuware