AI and Precision Medicine in Infectious Disease Management

1. Auflage 2025
ISBN: 978-1-041-01621-2
Verlag: CRC Press

Buch, Englisch, 248 Seiten, Format (B × H): 178 mm x 254 mm

Reihe: AI in Clinical Practice

This book presents technical advancements of artificial intelligence (AI)-based technologies and computational biology approaches, highlighting their applications in developing smart healthcare and precision medicine for managing infectious diseases. It discusses cutting-edge AI tools, particularly machine and deep learning models, and generative AI, to assist in disease prediction and prevention, disease surveillance and diagnosis, drug discovery, drug design and development, healthcare, personalized medicine, pharmacology, and vaccine development. The contents fit the goal of establishing "Good Health and Well-Being," which is one of "The Sustainable Development Goals (SDGs) 2030".

Key Features:

- Includes AI/omics approaches in precision medicine and smart healthcare

- Summarizes AI-driven drug and vaccine developments and AI tools for infectious disease prevention for clinicians, researchers, and policymakers

- Proposes AI-based strategies for disease prediction, surveillance, and diagnosis

Zielgruppe

Professional Practice & Development

Autoren/Hrsg.

Chen, Jen-Tsung

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Epidemiologie, Medizinische Statistik
• Naturwissenschaften Chemie Chemie Allgemein Chemometrik, Chemoinformatik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Infektionskrankheiten

Inhaltsverzeichnis

1. Controlling emerging infectious diseases: Latest overview of epidemiology and therapeutics. 2. Integrating AI technology into biomedical research and health innovation: Edge tools and emerging trends. 3. AI technology-powered precision medicine and smart healthcare: Technical advancements and prospects. 4. Precision medicine and omics approach for managing infectious diseases: Technologies and current achievements. 5. AI-assisted computational strategies for infectious disease prediction and surveillance. 6. AI tools and computational biology for advancing pharmacology. 7. AI-enhanced drug development against emerging infectious diseases. 8. AI-enhanced vaccine development against emerging infectious diseases. 9. AI technologies and molecular diagnostics for managing infectious diseases. 10. AI-assisted strategies for combating antimicrobial resistance and healthcare-associated Infections. 11. Approaches of AI and advanced computational biology for combating coronavirus infections. 12. Approaches of AI and advanced computational biology for combating influenza. 13. Approaches of AI and advanced computational biology for combating dengue fever. 14. Approaches of AI and advanced computational biology for combating HIV infections. 15. Approaches of AI and advanced computational biology for combating tuberculosis. 16. Approaches of AI and advanced computational biology for combating malaria. 17. Approaches of AI and advanced computational biology for combating diarrheal diseases. 18. Approaches of AI and advanced computational biology for combating reemerging infectious diseases. 19. AI-IoT-automation strategies for smart healthcare in infectious diseases. 20. Ethical implications of AI technology in managing infectious diseases.

Über Autor(innen)

Dr. Jen-Tsung Chen is a professor of cell biology at the National University of Kaohsiung in Taiwan. He also teaches genomics, proteomics, plant physiology, and plant biotechnology. Dr. Chen’s research interests include bioactive compounds, chromatography techniques, plant molecular biology, plant biotechnology, bioinformatics, and systems pharmacology. He is an active editor of academic books and international journals to advance the exploration of multidisciplinary knowledge involving plant physiology, plant biotechnology, nanotechnology, materials science, ethnopharmacology, and systems biology. He is an associate editor, editorial board member, and guest editor in reputed journals. Dr. Chen published books in collaboration with international publishers and he is handling book projects on diverse topics such as AI technologies, drug discovery, drug development, herbal medicine, medicinal biotechnology, nanotechnology, bioengineering, plant functional genomics, plant speed breeding, epigenetics, functional RNAs, and CRISPR-based genome editing. Dr. Chen is a productive author in academic publications and has been included in the World's Top 2% Scientists 2023 by Stanford University.