AI-Driven Breakthroughs in Antimicrobial Resistance
Language: English
Published by IGI Global, 2025
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 565.76
Quantity: 1 available
Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - AI-driven breakthroughs in antimicrobial resistance (AMR) are transforming the way we approach pressing global health challenges. As bacteria evolve to resist traditional antibiotics, the need for innovative solutions increases. AI plays a pivotal role in the accelerated discovery of new antimicrobial agents, optimized drug development, and improved diagnostics. By analyzing datasets, identifying patterns, and simulating molecular interactions, AI is enabling researchers to uncover new compounds, predict resistance mechanisms, and develop targeted treatments. Further research into these advancements may help with drug-resistant infection mitigation and preventing the consequences of antimicrobial resistance. AI-Driven Breakthroughs in Antimicrobial Resistance explores the intersection of artificial intelligence and the global challenge of antimicrobial resistance. It delves into the innovative ways in which AI technologies are leveraged to discover new antibiotics, understand resistance mechanisms, and design interventions to revolutionize the treatment of infectious diseases. This book covers topics such as patient care, infectious diseases, and machine learning, and is a useful resource for computer engineers, data scientists, medical professionals, biologists, academicians, and researchers.…
Seller Inventory # 9798369375518
- Title
- AI-Driven Breakthroughs in Antimicrobial Resistance
- Author
- Sivaramakrishnan Rajaraman
- Publisher
- IGI Global
- Publication year
- 2025
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798369375518
- Item weight
- 1,066 grams
- Dimensions
- 280x216x23 mm
"Synopsis" may belong to another edition of this title.
About the Author
Raul Villamarin Rodriguez is the Vice President at Woxsen University. He holds a Ph.D. in Artificial Intelligence and Robotics Process Automation Applications in Human Resources from San Miguel University, Mexico. Under his leadership, Woxsen University has partnered with 50+ Leading Universities in 35 countries across 6 continents. He has been instrumental in bringing International Exchange Programs & Research opportunities with the said global partner universities for students and faculty. His areas of expertise span across the domain of Artificial Intelligence and Quantum Artificial Intelligence, Natural Language Processing, Computer Vision, Robotic Process Automation, Multi-agent Systems, Data Analytics (Big Data), Cybersecurity Management and Knowledge Engineering. Dr. Raul has been part of significant research during his tenure, primarily through RRBM, GRLI, and PRME. He has also played vital roles in organizing renowned educational symposiums for institutions like the Oxford Brookes University, UK and European Union-government bodies in Brussels, Belgium. A young achiever, Dr. Raul, has recently been awarded in the Europe India 40 under 40 Leaders and nominated in Forbes 30 Under 30 Europe 2020. His achievements also highlight him as a registered expert in Artificial Intelligence, Intelligent Systems, and Multi-agent Systems at the European Commission. Treading the path of thought leadership in the education domain, Dr. Raul has made his place as a member of international bodies such as GRLI Deans and Directors cohort, Harvard Business Review Advisory Council, and the Institute for Robotics Process Automation & Artificial Intelligence (IRPA AI). As a staunch knowledge contributor to his field of expertise, Dr. Raul is frequently seen as the keynote speaker and panel moderator at various national and international conferences. In addition, he has co-authored two reference books: ‘New Age Leadership: A Critical Insight’ and ‘Retail Store’e’ and has more than 70 publications to his credit. He is also a weekly contributing writer to various magazines, a notable journal reviewer, and an associate editor in renowned publications such as IEEE.
Deep Learning, Machine Learning, Data science, Biomedical image analysis, and Computer vision.
"About the title" may belong to another edition of this title.
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