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.
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
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 Approaches for
Managing Infectious Diseases: Technologies, Applications, and Current
Achievements
5. AI-Enhanced Vaccine Development against Emerging Infectious
Diseases
6. AI Technologies and Molecular Diagnostics for Managing Infectious
Diseases
7. AI-Assisted Strategies for Combating Antimicrobial Resistance and
Healthcare-Associated Infections
8. Approaches of AI and Advanced
Computational Biology for Combating HIV Infections
9. Machine Learning and
Systems Biology for Precision Tuberculosis Treatment
10. AI-Enhanced Drug
Development against Emerging Infectious Diseases
Dr. Jen-Tsung Chen is a professor of cell biology at the National University of Kaohsiung in Taiwan, where he teaches cell biology, genomics, proteomics, plant physiology, and plant biotechnology. Dr. Chens 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 journals to advance the exploration of multidisciplinary knowledge involving plant physiology, plant biotechnology, nanotechnology, ethnopharmacology, and systems biology. He serves as an editorial board member in reputed journals, including Plant Methods, GM Crops & Food, Plant Nano Biology, Biomolecules, International Journal of Molecular Sciences, and as a guest editor in Frontiers in Plant Science, Frontiers in Pharmacology, Journal of Fungi, and Current Pharmaceutical Design. Dr. Chen published books in collaboration with Springer Nature, CRC Press/Taylor & Francis Group, and CABI, and he is handling book projects for some more international publishers on topics of bioinformatics, drug discovery, epigenetics, nanotechnology, bioengineering, plant functional genomics, plant speed breeding, and CRISPR-based plant genome editing. In 2023 and 2024, Elsevier and Stanford University recognized Dr. Chen as one of the "Worlds Top 2% Scientists". Dr. Chen received the Springer Nature Editor of Distinction Award in 2025.
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