"Future Cure: AI-Driven Breakthroughs in Antimicrobial Resistance" is a pioneering publication that explores the intersection of artificial intelligence (AI) and the global challenge of antimicrobial resistance (AMR). This book delves into the innovative ways in which AI technologies are being leveraged to discover new antibiotics, understand resistance mechanisms, and design interventions that could revolutionize the treatment of infectious diseases. Through a combination of case studies, expert interviews, and comprehensive reviews, it presents the latest advancements, methodologies, and ethical considerations in the field. The publication aims to shed light on how generative AI models, machine learning algorithms, and data analytics are transforming the landscape of antimicrobial research by accelerating the discovery of novel compounds, optimizing drug efficacy, and personalizing patient care.

Impact

The impact of "Future Cure" on the research community will be multifaceted. Firstly, it will serve as a comprehensive resource for scientists, researchers, and practitioners working at the forefront of drug discovery and infectious disease management, offering insights into cutting-edge AI applications and methodologies. By showcasing successful AI applications and ongoing research efforts, the book aims to inspire innovation and foster cross-disciplinary collaborations between the fields of computer science, microbiology, pharmacology, and public health. Furthermore, it will contribute to a broader understanding of the challenges and opportunities presented by AMR, encouraging a proactive approach to addressing this global health threat. "Future Cure" aspires to accelerate the adoption of AI technologies in antimicrobial research, potentially leading to breakthroughs in how we prevent, diagnose, and treat infections. Additionally, by highlighting ethical considerations and the need for equitable access to technology-driven healthcare solutions, the publication seeks to influence policy-making and funding priorities in global health research.

Audience

The intended audience for "Future Cure" is broad and interdisciplinary, reflecting the wide-ranging impact of AMR and the diverse potential of AI to address it. This includes:

Biomedical researchers and scientists interested in the latest AI methodologies and their application in drug discovery and disease understanding.

Healthcare professionals and clinical practitioners looking for insights into emerging technologies that could influence treatment protocols and patient care strategies.

Public health officials and policymakers who need to understand the potential of AI to inform public health strategies and antimicrobial stewardship programs.

AI and data science professionals looking to apply their skills to meaningful challenges in healthcare and drug discovery.

Students and academics across the fields of medicine, pharmacology, computer science, and public health, seeking a comprehensive overview of this cutting-edge area of research.

General readers with an interest in science, technology, and healthcare innovation, who are keen to understand how AI could address one of the most pressing health challenges of our time.

"Future Cure" is designed to be accessible yet informative, aiming to engage a wide audience with the promise and progress of AI in the battle against antimicrobial resistance.

Coverage:

Coverage forthcoming

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Editor/Author Biographies

Hemachandran Kannan holds the Area Chair of the Analytics Department at Woxsen University. Dr. Hemachandran is an Advisory board member at APT AI Labs, LLC. He has been a passionate teacher with 15 years of teaching experience and 5 years of research experience. He served as an effective resource person at various national and international scientific conferences and also gave lectures on topics related to Artificial Intelligence. He was bestowed as Best faculty at Woxsen University in 2021-2022 and also in Ashoka Institute of Engineering & Technology in 2019 – 2020. He is having rich working experience in Natural Language Processing, Computer Vision, Building Video recommendation systems, Building Chatbots for HR policies and Education Sector, Automatic Interview processes, and Autonomous Robots. He is working on various real-time use cases and projects in collaboration with Industries such as Advertflair, LLC, Course5i and Apstek Corp. He has organized many International Conferences, Hackathons and Ideathon. An open-ended positive person who has a stupendous peer-reviewed publication record with more than 35 journals and international conference publications.

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.

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