Ai Driven Breakthroughs In Antimicrobial Resistance
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Ai Driven Breakthroughs In Antimicrobial Resistance
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Author : Kannan, Hemachandran
language : en
Publisher: IGI Global
Release Date : 2025-04-09
Ai Driven Breakthroughs In Antimicrobial Resistance written by Kannan, Hemachandran and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-09 with Science categories.
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.
Artificial Intelligence In Managing Antimicrobial Resistance
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Author : Ramendra Pati Pandey
language : en
Publisher: CRC Press
Release Date : 2025-05-30
Artificial Intelligence In Managing Antimicrobial Resistance written by Ramendra Pati Pandey and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-30 with Medical categories.
This volume reviews the use of machine learning (ML) to predict antibiotic resistance in pathogens based on gene content and genome composition as data sets comprising hundreds or thousands of pathogen genomes become available. One of the main goals of this work is to promote the use of ML in front-line contexts while simultaneously emphasizing the additional improvements that are required to use these techniques in a secure and confident manner. Given the variety of quantitative and qualitative laboratory indicators of AMR, the issue of what to anticipate is not an easy one. This book is intended for academia, students of medical science, microbiology, biology, and biotechnology, as well as experts and scientists working in the fields of infectious diseases, government health organizations, and medicine.
Artificial Intelligence In Microbiology Scope And Challenges Volume Ii
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Author :
language : en
Publisher: Elsevier
Release Date : 2025-02-06
Artificial Intelligence In Microbiology Scope And Challenges Volume Ii written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-06 with Science categories.
Artificial Intelligence in Microbiology: Scope and Challenges, Volume-II, Volume 56 covers changes due to the emergence of Artificial Intelligence (AI). AI is being used to analyze massive data in a predictable form, about the behavior of microorganisms, to solve microbial classification-related problems, and more. Chapters include Taking on the resistance: AI and battle against antimicrobial resistance, AI-powered insights into microbial communities for bioremediation strategies, Efficient and cost-effective production of viral vaccines via AI, Production and development of novel drug targets through AI, Use of AI in neuroscience, Role of Artificial Intelligence in studying metagenomics of Microbes: Decoding the microbial Sphere, and more.Other chapters explore Exploring the functional role of bacterial proteins via AI, Application of AI in Aquaculture/Fisheries: Disease identification, detection, diagnosis, drug development, Artificial Intelligence in drug discovery & development; scope and challenges, Production of bacteriocins by AI: as food preservative, Exploring the Role of Artificial Intelligence in the Microbial remediation of heavy metals, Uses of Artificial Intelligence in the Agricultural Pest Management, Microbial fermentation processes using Artificial Intelligence, and more. - Uncovers extended functions of AI in microbiology - Includes topics surrounding the production and development of novel drug targets through AI - Presents the existing challenges for using and selecting appropriate AI tools in health, agriculture, and in the food sector
Multidisciplinary Research In Arts Science Commerce Volume 22
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Author : Chief Editor- Biplab Auddya, Editor- Dr. K. Kavitha, Dr. N. Siddharthan, Dr. Neha Nain, Dr. Babu Lal Choudhary, Sushmita Pandey, Manasvi Shukla
language : en
Publisher: The Hill Publication
Release Date : 2025-03-18
Multidisciplinary Research In Arts Science Commerce Volume 22 written by Chief Editor- Biplab Auddya, Editor- Dr. K. Kavitha, Dr. N. Siddharthan, Dr. Neha Nain, Dr. Babu Lal Choudhary, Sushmita Pandey, Manasvi Shukla and has been published by The Hill Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-18 with Antiques & Collectibles categories.
Ai Pharma Artificial Intelligence In Drug Discovery And Development
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Author : Daniel D. Lee
language : en
Publisher: SkyCuration
Release Date : 2024-08-12
Ai Pharma Artificial Intelligence In Drug Discovery And Development written by Daniel D. Lee and has been published by SkyCuration this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-12 with Computers categories.
"AI Pharma: Artificial Intelligence in Drug Discovery and Development" is a comprehensive exploration of how artificial intelligence is reshaping the pharmaceutical industry. It reveals how machine learning, deep learning, and other advanced technologies are revolutionizing drug discovery and development. The book meticulously charts the evolution of AI's role, starting from the surge in data collection and processing to the latest breakthroughs in predictive modeling. It unveils AI's transformative impact on research and development, delving into how AI tools streamline target identification, molecule generation, and clinical trials, leading to faster, more accurate results. Key industry experts share insights on the challenges of navigating the vast amount of data produced, stressing the importance of data cleaning, curation, and ethical considerations in collection. Case studies highlight how startups and leading companies use AI algorithms for deep learning in drug development, identifying disease targets and generating new compounds with unprecedented precision. The book emphasizes practical applications, like predictive models for toxicity and safety in preclinical trials and patient recruitment optimization in clinical trials. Additionally, it tackles the intersection of AI with emerging technologies like the Internet of Medical Things (IoMT) and blockchain, showcasing how these complement AI in securing data and enhancing pharmaceutical supply chains. Readers will gain a deep understanding of the regulatory landscape, exploring FDA guidelines and global regulations that shape AI adoption. Interwoven throughout are the voices of thought leaders who address legal and ethical challenges, highlight the significance of partnerships, and stress the need for transparent and trustworthy AI models. They emphasize cross-disciplinary collaboration and tailored training strategies to cultivate AI talent that meets the growing needs of pharma. By examining the future of deep learning, computational research, and explainable AI, the book provides a strategic roadmap that researchers, policymakers, and developers can follow. Ultimately, this book is not only a roadmap but also a clarion call, urging stakeholders to build collaborative ecosystems that harness AI's potential for innovative pharmaceutical research and development. Through a rich, detailed narrative, readers are guided to understand the profound implications and exciting opportunities that await in this AI-driven pharmaceutical landscape
Antibiotic Resistance Threat
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Author : Ursula Brightonstar
language : en
Publisher: Publifye AS
Release Date : 2025-02-22
Antibiotic Resistance Threat written by Ursula Brightonstar and has been published by Publifye AS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-22 with Medical categories.
Antibiotic resistance is a growing global health crisis threatening our ability to treat common infections. Antibiotic Resistance Threat explores the origins, mechanisms, and impact of resistant bacteria, highlighting the urgent need for action. A key insight is how bacteria develop resistance through genetic mutations, enabling them to evade the effects of antibiotics. Factors such as antibiotic overuse in both human medicine and agriculture significantly accelerate the spread of these resistant strains, leading to increased healthcare costs and potentially untreatable infections. The book adopts a comprehensive approach, beginning with the history of antibiotics and basic microbiology. It then delves into the mechanisms of resistance and the epidemiology of resistant infections, examining their prevalence in different regions. A significant portion is dedicated to analyzing potential solutions, like antibiotic stewardship programs, and the development of novel therapies. This evidence-based analysis, drawing from medical research and public health data, separates facts from speculation, providing actionable recommendations for healthcare professionals, policymakers, and concerned citizens.
Ai Powered Advances In Pharmacology
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Author : Shaik, Aminabee
language : en
Publisher: IGI Global
Release Date : 2024-09-14
Ai Powered Advances In Pharmacology written by Shaik, Aminabee and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-14 with Medical categories.
In the field of pharmaceutical sciences, the integration of artificial intelligence (AI) has emerged as a groundbreaking force, propelling the field into uncharted territories of discovery and innovation. As traditional approaches in drug discovery and development encounter new challenges, the need for cutting-edge technologies becomes increasingly apparent. AI-Powered Advances in Pharmacology offers an insightful exploration of this critical intersection between AI and pharmacological research. This book delves into how AI technologies are reshaping the understanding of diseases, predicting drug responses, and optimizing therapeutic interventions. It navigates through the relationship between AI algorithms, big data analytics, and traditional pharmacological methodologies, promising to accelerate drug development and usher in a new era of precision medicine. The primary objective of AI-Powered Advances in Pharmacology is to conduct a thorough exploration of the integration of artificial intelligence (AI) into pharmacological research, shedding light on its transformative impact on drug discovery, development, and personalized medicine. This comprehensive overview aims to serve as a valuable resource for researchers, practitioners, and students in the field, bridging the gap between traditional pharmacological approaches and AI methodologies. Through case studies and discussions of emerging trends, the book contributes to the evolving landscape of pharmacology, fostering a deeper understanding of diseases, optimizing therapeutic interventions, and shaping the future of precision medicine. By providing practical insights, it aims to inspire further advancements at the intersection of artificial intelligence and pharmacology.
Artificial Intelligence And Machine Learning In Drug Design And Development
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Author : Abhirup Khanna
language : en
Publisher: John Wiley & Sons
Release Date : 2024-06-21
Artificial Intelligence And Machine Learning In Drug Design And Development written by Abhirup Khanna and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-21 with Computers categories.
The book is a comprehensive guide that explores the use of artificial intelligence and machine learning in drug discovery and development covering a range of topics, including the use of molecular modeling, docking, identifying targets, selecting compounds, and optimizing drugs. The intersection of Artificial Intelligence (AI) and Machine Learning (ML) within the field of drug design and development represents a pivotal moment in the history of healthcare and pharmaceuticals. The remarkable synergy between cutting-edge technology and the life sciences has ushered in a new era of possibilities, offering unprecedented opportunities, formidable challenges, and a tantalizing glimpse into the future of medicine. AI can be applied to all the key areas of the pharmaceutical industry, such as drug discovery and development, drug repurposing, and improving productivity within a short period. Contemporary methods have shown promising results in facilitating the discovery of drugs to target different diseases. Moreover, AI helps in predicting the efficacy and safety of molecules and gives researchers a much broader chemical pallet for the selection of the best molecules for drug testing and delivery. In this context, drug repurposing is another important topic where AI can have a substantial impact. With the vast amount of clinical and pharmaceutical data available to date, AI algorithms find suitable drugs that can be repurposed for alternative use in medicine. This book is a comprehensive exploration of this dynamic and rapidly evolving field. In an era where precision and efficiency are paramount in drug discovery, AI and ML have emerged as transformative tools, reshaping the way we identify, design, and develop pharmaceuticals. This book is a testament to the profound impact these technologies have had and will continue to have on the pharmaceutical industry, healthcare, and ultimately, patient well-being. The editors of this volume have assembled a distinguished group of experts, researchers, and thought leaders from both the AI, ML, and pharmaceutical domains. Their collective knowledge and insights illuminate the multifaceted landscape of AI and ML in drug design and development, offering a roadmap for navigating its complexities and harnessing its potential. In each section, readers will find a rich tapestry of knowledge, case studies, and expert opinions, providing a 360-degree view of AI and ML’s role in drug design and development. Whether you are a researcher, scientist, industry professional, policymaker, or simply curious about the future of medicine, this book offers 19 state-of-the-art chapters providing valuable insights and a compass to navigate the exciting journey ahead. Audience The book is a valuable resource for a wide range of professionals in the pharmaceutical and allied industries including researchers, scientists, engineers, and laboratory workers in the field of drug discovery and development, who want to learn about the latest techniques in machine learning and AI, as well as information technology professionals who are interested in the application of machine learning and artificial intelligence in drug development.
Green Development Of Photoluminescent Carbon Dots
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Author : Bin Bin Chen
language : en
Publisher: Royal Society of Chemistry
Release Date : 2023-11-17
Green Development Of Photoluminescent Carbon Dots written by Bin Bin Chen and has been published by Royal Society of Chemistry this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-17 with Science categories.
Carbon dots (CDs) as an emerging carbon nanomaterial have attracted considerable attention and have been widely used in numerous fields. When compared with semiconductor quantum dots and organic dyes, CDs have a low toxicity, good biocompatibility and good anti-photobleaching. These qualities give them the potential to be a greener optical probe than other types of quantum dots and organic dyes. Covering several common synthesis strategies, including biomass synthesis, large-scale synthesis and sustainable synthesis technology, this book focuses on the green synthesis of CDs and their applications in the fields of bioanalytical, catalytic, biomedical, and environmental sciences. It is a useful reference for anyone working in green chemistry, analytical chemistry, biomedical or environmental science.
Emerging Paradigms For Antibiotic Resistant Infections Beyond The Pill
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Author : Mayank Gangwar
language : en
Publisher: Springer Nature
Release Date : 2024-11-18
Emerging Paradigms For Antibiotic Resistant Infections Beyond The Pill written by Mayank Gangwar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-18 with Science categories.
This book delves into antibiotic resistance, offering insights into its emergence, mechanisms, and impact on global health. The book also scrutinizes over-prescription, agricultural use, and the scarcity of new drug development, while spotlighting the role of globalization in its propagation. It moves beyond conventional approaches, examining alternative strategies like phage therapy, immunotherapy, and nanotechnology. Highlighting precision diagnostics and the importance of policy implications, it navigates through public health strategies, surveillance, and international collaborations. Finally, it glimpses into the future, delineating the challenges, opportunities, and the urgency of action required to steer away from a post-antibiotic era. This book serves as an invaluable resource for students, researchers, and scientists in the fields of medicine, pharmacy, microbiology, and public health.