The healthcare industry is grappling with numerous challenges, including rising costs, inefficiencies in service delivery, and the need for personalized treatment approaches. Traditional healthcare management and delivery methods must be improved in addressing these issues, leading to a growing demand for innovative solutions. Additionally, the exponential growth of medical data and the complexity of biomedical research and biotechnology presents a daunting challenge in harnessing this data effectively for improved patient care and medical advancements. There is a pressing need for a comprehensive understanding of how artificial intelligence (AI) can be leveraged to tackle these challenges and drive meaningful change in the healthcare sector. Future of AI in Biomedicine and Biotechnology offers a timely and insightful solution to the challenges faced by the healthcare industry. By exploring the intersection of AI with biomedical sciences and biotechnology, this book provides a comprehensive guide to harnessing the power of AI for transformative healthcare innovation. Through a series of expertly curated chapters, the book delves into critical topics such as machine learning, medical imaging, natural language processing, drug discovery, personalized medicine, and telemedicine, among others, offering readers a deep understanding of AI's potential impact on healthcare. This book is not just a theoretical exploration; it is a practical roadmap for healthcare professionals, researchers, policymakers, and entrepreneurs seeking to navigate the complexities of AI in healthcare. By providing real-world examples, case studies, and future trends, the book equips readers with the knowledge and tools needed to harness the full potential of AI in biomedicine and biotechnology. Whether you want to optimize healthcare delivery, develop innovative healthcare technologies, or shape healthcare policy, Future of AI in Biomedicine and Biotechnology is invaluable to inspire and inform your journey towards a more efficient, effective, and personalized healthcare system.
Shankar Mukundrao Khade completed M.Sc. in Biotechnology from SRTMU, Nanded, Maharashtra, and received his M. Tech. in Biotechnology from NIT, Rourkela. He earned Ph.D. in Biochemical Engineering from IIT, Varanasi. Along with being with association with ADYPU, he is also an Editorial Board Member of the journal American Journal of Chemical and Biochemical Engineering and Reviewer of Preparative Biochemistry and Biotechnology and Signa Vitae Journals. Raj Gaurav Mishra is an Associate Professor with 15+ years of experience in AI, Deep Learning, and IoT. With a Ph.D. in Electronics and Communication Engineering, a Master's in Space Engineering, and a Bachelor's in Electronics and Instrumentation Engineering, he has authored 50+ research papers and books.
