Artificial intelligence and machine learning in drug design and development:
Step into the riveting pages of Artificial Intelligence and Machine Learning in Drug Design and Development and unravel the impact of AI and machine learning in the world of medicine. The book instills intricate concepts on the future of medicine, unlocking potential in AI and ML, and breakthroughs...
Gespeichert in:
| 1. Verfasser: | |
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| Weitere Verfasser: | , , , |
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Beverly, MA
Scrivener Publishing
2024
Hoboken, NJ Wiley |
| Schriftenreihe: | Fintech in a Sustainable Digital Society |
| Schlagworte: | |
| Zusammenfassung: | Step into the riveting pages of Artificial Intelligence and Machine Learning in Drug Design and Development and unravel the impact of AI and machine learning in the world of medicine. The book instills intricate concepts on the future of medicine, unlocking potential in AI and ML, and breakthroughs in healthcare. AI helps in predicting a much broader chemical pallet for the best molecules for drug testing and delivery. Discover how cutting-edge technologies develop drug discovery processes and impact the pharmaceutical industry, healthcare, and patients' well-being.Whether you are a researcher, scientist, or industry professionals, the book compromises of 19 chapters providing drug design methods and development. Chapters present various AI techniques in drug discovery and challenges encountered in implementing AI in docking algorithms. Discover the future applications of robotics and AI in healthcare. Furthermore, Find out different uses of machine learning algorithms and discussions of challenges, techniques, and discoveries using ML tools and techniques in drug development |
| Beschreibung: | xxvi, 641 Seiten Illustrationen, Diagramme |
| ISBN: | 9781394234165 |
Internformat
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| 520 | |a Step into the riveting pages of Artificial Intelligence and Machine Learning in Drug Design and Development and unravel the impact of AI and machine learning in the world of medicine. The book instills intricate concepts on the future of medicine, unlocking potential in AI and ML, and breakthroughs in healthcare. AI helps in predicting a much broader chemical pallet for the best molecules for drug testing and delivery. Discover how cutting-edge technologies develop drug discovery processes and impact the pharmaceutical industry, healthcare, and patients' well-being.Whether you are a researcher, scientist, or industry professionals, the book compromises of 19 chapters providing drug design methods and development. Chapters present various AI techniques in drug discovery and challenges encountered in implementing AI in docking algorithms. Discover the future applications of robotics and AI in healthcare. Furthermore, Find out different uses of machine learning algorithms and discussions of challenges, techniques, and discoveries using ML tools and techniques in drug development | ||
| 653 | |a Informatik | ||
| 700 | 1 | |a Khanna, Abhirup |4 edt | |
| 700 | 1 | |a El Barachi, May |4 edt | |
| 700 | 1 | |a Jain, Supna |4 edt | |
| 700 | 1 | |a Kumar, Manoj |4 edt | |
| 700 | 1 | |a Nayyar, Anand |0 (DE-588)1202732518 |4 edt | |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-035218034 | |
Datensatz im Suchindex
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| spelling | Artificial intelligence and machine learning in drug design and development edited by Abhirup Khanna, May El Barachi, Sapna Jain, Manoj Kumar and Anand Nayyar Beverly, MA Scrivener Publishing 2024 Hoboken, NJ Wiley xxvi, 641 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Step into the riveting pages of Artificial Intelligence and Machine Learning in Drug Design and Development and unravel the impact of AI and machine learning in the world of medicine. The book instills intricate concepts on the future of medicine, unlocking potential in AI and ML, and breakthroughs in healthcare. AI helps in predicting a much broader chemical pallet for the best molecules for drug testing and delivery. Discover how cutting-edge technologies develop drug discovery processes and impact the pharmaceutical industry, healthcare, and patients' well-being.Whether you are a researcher, scientist, or industry professionals, the book compromises of 19 chapters providing drug design methods and development. Chapters present various AI techniques in drug discovery and challenges encountered in implementing AI in docking algorithms. Discover the future applications of robotics and AI in healthcare. Furthermore, Find out different uses of machine learning algorithms and discussions of challenges, techniques, and discoveries using ML tools and techniques in drug development Informatik Khanna, Abhirup edt El Barachi, May edt Jain, Supna edt Kumar, Manoj edt Nayyar, Anand (DE-588)1202732518 edt |
| spellingShingle | Khanna, Abhirup Artificial intelligence and machine learning in drug design and development |
| title | Artificial intelligence and machine learning in drug design and development |
| title_auth | Artificial intelligence and machine learning in drug design and development |
| title_exact_search | Artificial intelligence and machine learning in drug design and development |
| title_full | Artificial intelligence and machine learning in drug design and development edited by Abhirup Khanna, May El Barachi, Sapna Jain, Manoj Kumar and Anand Nayyar |
| title_fullStr | Artificial intelligence and machine learning in drug design and development edited by Abhirup Khanna, May El Barachi, Sapna Jain, Manoj Kumar and Anand Nayyar |
| title_full_unstemmed | Artificial intelligence and machine learning in drug design and development edited by Abhirup Khanna, May El Barachi, Sapna Jain, Manoj Kumar and Anand Nayyar |
| title_short | Artificial intelligence and machine learning in drug design and development |
| title_sort | artificial intelligence and machine learning in drug design and development |
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