Revolutionizing Drug Development: Harnessing AI and Computational Biology
Editat de Jen-Tsung Chenen Limba Engleză Paperback – 21 ian 2026
- Provides cutting-edge AI technologies in drug development
- Presents ways to utilize AI models for drug discovery, repurposing, and design
- Summarizes current achievements of AI models for accelerating drug development programs
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Specificații
ISBN-13: 9780443340598
ISBN-10: 0443340595
Pagini: 354
Dimensiuni: 216 x 276 mm
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0443340595
Pagini: 354
Dimensiuni: 216 x 276 mm
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE
Cuprins
Artificial intelligence and accelerated computing in drug discovery: An updated overview
2. AI strategies for drug discovery and bioactivity prediction: Opportunities and challenges
3. AI technologies for drug repurposing: Methods and applications
4. Data science and databases in drug discovery: Technical development and applications
5. Graph neural networks for drug discovery: Protocols and applications
6. Deep learning and generative models for drug discovery: Techniques and current achievements
7. AI-enabled personalized medicine: Strategies and challenges
8. AI technologies for advancing R&D in the pharmaceutical industry: Current development and challenges
10. AI-powered drug development for treating neurological disorders
11. AI applications in drug discovery for promoting longevity
12. Transforming Drug Development with AI-driven Models
13. AI technologies for precision and personalized medicine
14. AI technologies for smart pharmacology
15. AI-powered Immunopharmacological strategies to combat inflammatory diseases
16. AI and nanotechnology for advancing drug development
17. Drug repositioning using tensor decomposition
18. Integrating Artificial Intelligence and machine learning technologies in antiviral drug discovery: Strategies and challenges
19. Artificial intelligence in the discovery of new antibiotics
20. AI-designed drugs: Clinical development and future directions
2. AI strategies for drug discovery and bioactivity prediction: Opportunities and challenges
3. AI technologies for drug repurposing: Methods and applications
4. Data science and databases in drug discovery: Technical development and applications
5. Graph neural networks for drug discovery: Protocols and applications
6. Deep learning and generative models for drug discovery: Techniques and current achievements
7. AI-enabled personalized medicine: Strategies and challenges
8. AI technologies for advancing R&D in the pharmaceutical industry: Current development and challenges
10. AI-powered drug development for treating neurological disorders
11. AI applications in drug discovery for promoting longevity
12. Transforming Drug Development with AI-driven Models
13. AI technologies for precision and personalized medicine
14. AI technologies for smart pharmacology
15. AI-powered Immunopharmacological strategies to combat inflammatory diseases
16. AI and nanotechnology for advancing drug development
17. Drug repositioning using tensor decomposition
18. Integrating Artificial Intelligence and machine learning technologies in antiviral drug discovery: Strategies and challenges
19. Artificial intelligence in the discovery of new antibiotics
20. AI-designed drugs: Clinical development and future directions