Technological Fusion in Experimental Medicine and Biology
Nov 2026 · Academic Press
Ebook
280
Pages
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infoThis book will become available on November 15, 2026. You will not be charged until it is released.
About this ebook
Technological Fusion in Experimental Medicine and Biology examines how artificial intelligence, omics technologies, nanotechnology, and biomedical engineering are converging to reshape experimental medicine. The book presents an integrated, end‐to‐end translational framework connecting hypothesis development, experimentation, multimodal data integration, AI‐driven analysis, and clinical translation. It covers the core enabling technologies and the models that link diverse tools into coherent biomedical workflows. Content is structured across foundational concepts, technologies, workflow integration, application domains, and real‐world case studies, supported by schematic workflows, decision frameworks, and ethical and regulatory perspectives. Chapters emphasize deep learning, reproducible research, and data governance, with case studies in cancer, cardiovascular, and neurological research. The book provides researchers, educators, and lab leaders with a unified framework for interdisciplinary research, teaching, and translational innovation. - Provides interdisciplinary integration through a unified translational workflow that links computational biology, medicine, and engineering - Offers practical case studies and reproducible workflows that demonstrate real-world application across domains - Delivers future-focused insights with AI, multimodal data, and digital-twin concepts to guide ongoing research and innovation
Technological Fusion in Experimental Medicine and Biology examines how artificial intelligence, omics technologies, nanotechnology, and biomedical engineering are converging to reshape experimental medicine. The book presents an integrated, end‐to‐end translational framework connecting hypothesis...
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About the author
Dr. Shubham Mahajan is an academic and researcher, member of IEEE, ACM, and IAENG. He earned a B.Tech from Baba Ghulam Shah Badshah University, an M.Tech from Chandigarh University, and a PhD from Shri Mata Vaishno Devi University. He is currently Assistant Professor at Amity University, Haryana, India. His research spans artificial intelligence and image processing, including video compression, image segmentation, fuzzy entropy, nature-inspired optimization, data mining, machine learning, robotics, and optical communications. He holds patents internationally and has published widely in high-impact venues; he has edited several Scopus-indexed books. He has received multiple awards for research excellence and travel support from IEEE, among others. He has served as IEEE Campus Ambassador at premier institutes and promotes international collaborations. He participates in technical program committees and editorial boards for conferences and journals, shaping discourse in AI and image processing.Dr. Kamal Upreti is an Associate Professor of Computer Science at CHRIST (Deemed to be University), Ghaziabad. He holds , a Ph.D. in Computer Science & Engineering, and a postdoctoral fellowship at National Taipei University of Business, Taiwan, funded by MHRD. With teaching, research, and industry exposure, he has produced numerous patents and publications. His interests span modern physics, data analytics, cybersecurity, ML, healthcare, embedded systems, and cloud computing. Notable projects include Hydrastore in Japan, IPDS in India, and an ICMR-funded cardiovascular-prediction project with GB Pant and AIIMS Delhi. Dr. Upreti serves as session chair, keynote speaker, trainer, and faculty developer, and has been honored as Best Teacher, Best Researcher, and an M.Tech Gold Medalist.
Dr. Shubham Mahajan is an academic and researcher, member of IEEE, ACM, and IAENG. He earned a B.Tech from Baba Ghulam Shah Badshah University, an M.Tech from Chandigarh University, and a PhD from Shri Mata Vaishno Devi University. He is currently Assistant Professor at Amity University, Haryana,...
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