Table of Contents
Part I: Foundations of Experimental Medicine and Biology1. The Evolution of Experimental Medicine: From Bench Science to Human-Centered Innovation
2. Human Biology in the Era of Technological Convergence
3. Bridging Disciplines: The Role of Interdisciplinarity in Biomedical Research
4. Ethical and Regulatory Landscapes in Technology-Driven Human Research
Part II: Core Technologies Transforming Human Experimental Medicine
5. Artificial Intelligence and Machine Learning in Biomedical Discovery
6. Omics Revolution: Genomics, Proteomics, and Systems Biology in Human Research
7. Nanotechnology and Biomaterials in Experimental Medicine
8. Advanced Imaging and Biosensing Technologies for Human Biology
9. Biomedical Engineering and Organ-on-a-Chip Platforms
Part III: Translational Integration Across the Research Workflow
10. Data-Driven Biology: Big Data, Cloud Platforms, and Computational Modeling
11. Precision and Personalized Medicine: From Laboratory Insights to Human Health
12. Digital Twins and Simulation Models in Experimental Medicine
13. Integrating Robotics, Automation, and Smart Devices in Experimental Workflows
Part IV: Future Horizons in Human-Centered Biomedical Innovation
14. Human-Technology Symbiosis: Co-evolution of Biology and Digital Tools
15. Global Perspectives: Collaborative Networks in Experimental Medicine and Biology
16. The Future of Technological Fusion: Emerging Directions and Grand Challenges
Authors
Shubham Mahajan Amity School of Engineering and Technology, Amity University Haryana., India.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. 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.
Kamal Upreti Associate Professor, Department of Computer Science, CHRIST(Deemed to be University), Delhi-NCR Ghaziabad, Uttar Pradesh, India.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.
