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AI for Immunology AI for Everything Series
Auteur : Catania Louis J.
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
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.
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.
Date de parution : 01-2021
12.9x19.8 cm
Date de parution : 01-2021
12.9x19.8 cm
Thèmes d’AI for Immunology :
Mots-clés :
Middle East Respiratory Syndrome Coronavirus; Artificial Intelligence; Chimeric Antigen Receptor T-cells; COVID-19 pandemic; Hematopoietic Stem Cell Therapy; Unsupervised Machine Learning; human health; PD-1 Checkpoint Inhibitor; immunology; UNC School; immune diseases; Mature Immune Cells; Prevalent Autoimmune Diseases; Precision Medicine Initiative; PD L1 Checkpoint Inhibitor; Single Cell RNA Sequencing; Cytokine Cytokine Receptor Interaction; Cell’s DNA; Chronic Inflammation; Programmed Death Protein; Spike Protein; Immunological Fields; Unproven Stem Cell Therapies; Strand Genomic RNA; Acute Inflammation; National Library; Gaussian Process Regression Model; Anti-anti Idiotype Antibodies; Ai Software; Patient’s Genome