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  • Book
    Niklas Lidströmer, Yonina C. Eldar, editors.
    Summary: This book deals with the advantages of using artificial intelligence (AI) in the fight against the COVID-19 and against future pandemics that could threat humanity and our environment. This book is a practical, scientific and clinically relevant example of how medicine and mathematics will fuse in the 2020s, out of external pandemic pressure and out of scientific evolutionary necessity. This book contains a unique blend of the world's leading researchers, both in medicine, mathematics, computer science, clinical and preclinical medicine, and presents the research front of the usage of AI against pandemics. Equipped with this book the reader will learn about the latest AI advances against COVID-19, and how mathematics and algorithms can aid in preventing its spreading course, treatments, diagnostics, vaccines, clinical management and future evolution.

    Contents:
    Intro
    Foreword
    Preface
    Contents
    About the Editors
    Chapter 1: Introduction to Artificial Intelligence in COVID-19
    Pandemics
    History of Pandemics
    The COVID-19 Pandemic
    Origins of the COVID-19 Pandemic
    Continuous Fight for Science and Reason
    Modern Tools for Pandemic Control
    A Brief Chronology of the Chapters of This Book
    Power of Science
    References
    Chapter 2: AI for Pooled Testing of COVID-19 Samples
    Introduction
    System Model
    The PCR Process
    Mathematical Model
    Pooled COVID-19 Tests
    Recovery from Pooled Tests Group Testing Methods for COVID-19
    Adaptive GT Methods
    Non-Adaptive GT Methods
    Pooling Matrix
    Noiseless Linear Non-Adaptive Recovery
    Noisy Non-Linear Non-Adaptive Recovery
    Summary
    Compressed Sensing for Pooled Testing for COVID-19
    Compressed Sensing Forward Model for Pooled RT-PCR
    CS Algorithms for Recovery
    Details of Algorithms
    Assessment of Algorithm Performance and Experimental Protocols
    Choice of Pooling Matrices
    Choice of Number of Pools
    Use of Side Information in Pooled Inference
    Comparative Discussion and Summary
    References Chapter 3: AI for Drug Repurposing in the Pandemic Response
    Introduction
    Desirable Features of AI for Drug Repurposing in Pandemic Response
    Technical Flexibility and Efficiency
    Clinical Applicability and Acceptability
    Major AI Applications for Drug Repurposing in Response to COVID-19
    Knowledge Mining
    Network-Based Analysis
    In Silico Modelling
    IDentif.AI Platform for Rapid Identification of Drug Combinations
    Project IDentif.AI
    IDentif.AI for Drug Optimization Against SARS-CoV-2
    IDentif.AI 2.0 Platform in an Evolving Pandemic IDentif.AI as a Pandemic Preparedness Platform
    Use of Real-World Data to Identify Potential Targets for Drug Repurposing
    Future Directions
    References
    Chapter 4: AI and Point of Care Image Analysis for COVID-19
    Introduction
    Motivation for Using Imaging
    Motivation for Using AI with Imaging
    Integration of Imaging with Other Modalities
    Literature Overview
    Chest X-Ray Imaging
    Diagnosis Models
    Prognosis Models
    Use of Longitudinal Imaging
    Fusion with Other Data Modalities
    Common Issues with AI and Chest X-Ray Imaging
    Duplication and Quality Issues Source Issues
    Frankenstein Datasets
    Implicit Biases in the Source Data
    Artificial Limitations Due to Transfer Learning
    Computed Tomography Imaging
    Diagnosis Models
    Prognosis Models
    Applications to Regions Away from the Lungs
    Use of Longitudinal Imaging
    Fusion with Other Data Modalities
    Common Issues with AI and Computed Tomography Imaging
    Ultrasound Imaging
    What Can be Observed in LUS
    Models Assisting in Interpreting LUS
    Diagnosis Models
    Prognosis Models
    Use of Longitudinal Imaging
    Common Issues with AI and Ultrasound Imaging
    Conclusions
    Digital Access Springer 2022
  • Article
    Griffith GL, Luce EA.
    South Med J. 1978 Nov;71(11):1337-40.
    The occurrence of massive skin necrosis of approximately 50% of the body surface area in an 8-year-old girl with Rocky Mountain spotted fever is reported. Although the surgeon will not often be confronted with the management of Rocky Mountain spotted fever or its complications, certain therapeutic corollaries can be outlined, based upon the observed similarity between this particular complication of severe skin loss and the syndrome of purpura fulminans: (1) heparinization for the consumptive coagulopathy and disseminated intravascular clotting; (2) correction of hypovolemia and hypoproteinemia; (3) decompression by escharotomy and/or fasciotomy if indicated; (4) topical chemotherapeutic coverage of necrotic skin; (5) full-thickness eschar excision combined with biologic dressings directed toward autograft wound closure; and (6) appropriate extremity splinting and physiotherapy.
    Digital Access Access Options