Advances in artificial intelligence, computation, and data science : for medicine and life science
著者
書誌事項
Advances in artificial intelligence, computation, and data science : for medicine and life science
（Computational biology, v. 31）
Springer, c2021
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注記
Description based on corrected publication, 2021
Includes bibliographical references and index
内容説明・目次
内容説明
Artificial intelligence (AI) has become pervasive in most areas of research and applications. While computation can significantly reduce mental efforts for complex problem solving, effective computer algorithms allow continuous improvement of AI tools to handle complexity-in both time and memory requirements-for machine learning in large datasets. Meanwhile, data science is an evolving scientific discipline that strives to overcome the hindrance of traditional skills that are too limited to enable scientific discovery when leveraging research outcomes. Solutions to many problems in medicine and life science, which cannot be answered by these conventional approaches, are urgently needed for society.
This edited book attempts to report recent advances in the complementary domains of AI, computation, and data science with applications in medicine and life science. The benefits to the reader are manifold as researchers from similar or different fields can be aware of advanced developments and novel applications that can be useful for either immediate implementations or future scientific pursuit.
Features:
Considers recent advances in AI, computation, and data science for solving complex problems in medicine, physiology, biology, chemistry, and biochemistry
Provides recent developments in three evolving key areas and their complementary combinations: AI, computation, and data science
Reports on applications in medicine and physiology, including cancer, neuroscience, and digital pathology
Examines applications in life science, including systems biology, biochemistry, and even food technology
This unique book, representing research from a team of international contributors, has not only real utility in academia for those in the medical and life sciences communities, but also a much wider readership from industry, science, and other areas of technology and education.
目次
Part I: Review of Recent Developments in AI, Computational Models for Complex Data Analysis, and Data Science.- 1. Recent Developments in AI.- 2. Recent Developments in Computational Models for Data Analysis.- 3. Recent Developments in Data Science.- Part II: Applications in Medicine and Physiology.- 4. Cancer.- 5. Neuroscience.- 6. Cardiology.- 7. Critical Care.- 8. Health Care.- 9. Digital Pathology.- Part III: Applications in Life Science.- 10. Systems Biology.- 11. Cell Biology.- 12. Biochemistry.- 13. Chemo-metrics.- 14. Food Technology.
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