AI for Scientific Discovery provides an accessible introduction to the wide-ranging applications of artificial intelligence technologies in scientific research and discovery across the full breadth of scientific disciplines.
AI for Scientific Discovery provides an accessible introduction to the wide-ranging applications of artificial intelligence technologies in scientific research and discovery across the full breadth of scientific disciplines.
Janna Hastings is a computer scientist with more than a decade of experience across the life, behavioural and social sciences. She is also a data scientist with a PhD in computational biology and extensive experience in bioinformatics, cheminformatics and psychoinformatics. She is currently Assistant Professor of Medical Knowledge and Decision Support at the University of Zurich, and Vice-Director of the School of Medicine at the University of St. Gallen. Her current research focuses on bridging the gaps between knowledge and learning to bring AI technologies in medicine closer to the needs and workflows of clinicians and to support truly interdisciplinary and integrative knowledge discovery.
Inhaltsangabe
Preface. Acknowledgements. About the Author. 1 Introduction: AI and the Digital Revolution in Science. 2 AI for Managing Scientific Literature and Evidence. 3 AI for Data Interpretation. 4 AI for Reproducible Research. 5 Limitations of AI and Strategies for Combating Bias. 6 Conclusion: AI and the Future of Scientific Discovery. Index.
Preface. Acknowledgements. About the Author. 1 Introduction: AI and the Digital Revolution in Science. 2 AI for Managing Scientific Literature and Evidence. 3 AI for Data Interpretation. 4 AI for Reproducible Research. 5 Limitations of AI and Strategies for Combating Bias. 6 Conclusion: AI and the Future of Scientific Discovery. Index.
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