Authors:
Aditya Rautaray, R. Regin, S. Suman Rajest
Addresses:
Department of Cloud Solutions Security, CVS Healthcare, Ashburn, Virginia, United States of America. Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai, Tamil Nadu, India. Department of Research and Development, Dhaanish Ahmed College of Engineering, Chennai, Tamil Nadu, India.
Abstract:
This study explores a new paradigm, Dynamic Bioengineered Intelligence (DBI), aimed at enabling learners to customise cell regeneration and incorporate synthetic tissues. Using a specialised dataset of 478 distinct cellular response instances, the paper examines the overlap between adaptive machine learning and regenerative medicine. The main tools used are the Bio-Synthetic Modelling Suite (BSMS) and the Adaptive Tissue Coordinator (ATC), which enable real-time measurement and control of tissue scaffold growth. The DBI system is a neural controller that predicts cellular behaviours in response to environmental stimuli, ensuring that implants grow alongside the host's biological environment without being rejected. Findings suggest high success in integrating the vessel and repairing impaired tissues effectively. This paper shows that bioengineered intelligence has the potential to bridge the gap between fixed synthetic grafts and dynamic biological systems, offering a scalable solution for personalised regenerative therapies. The evidence indicates that the predictive value of the DBI framework significantly reduces inflammatory reactions compared with traditional grafting approaches in next-generation medical procedures.
Keywords: Bioengineered Intelligence; Adaptive Scaffolding; Bio-Synthetic Modelling Suite; Cellular Regeneration; Synthetic Tissue; Regenerative Medicine; Adaptive Tissue Coordinator.
Received on: 21/10/2024, Revised on: 14/12/2024, Accepted on: 13/03/2025, Published on: 15/12/2025
DOI: 10.64091/ATIAS.2025.000250
AVE Trends in Intelligent Applied Sciences, 2025 Vol. 1 No. 4 , Pages: 207-215