Integrative Approaches for Advancing Organoid Engineering: From Mechanobiology to Personalized Therapeutics

https://doi.org/10.48185/jaai.v5i1.974

Authors

  • Zarif Bin Akhtar MPhil Research Postgraduate Student, Master of Philosophy (MPhil) in Machine Learning and Machine Intelligence, Department of Engineering, University of Cambridge
  • Anik Das Gupta Master of Engineering in Electrical and Computer Engineering, Gina Cody school of Engineering and Computer Science, Concordia University, Montreal, Canada

Keywords:

Artificial Intelligence (AI), Biomedical Engineering (BME), Biomolecular Engineering, Deep Learning, Machine Learning, Mechanobiological Modulation, Organoid Engineering

Abstract

This research manuscript aims to explore the integration of cutting-edge technologies in the field of organoid engineering for applications in personalized precision medicine. The research investigative exploration will delve into the multifaceted aspects of organoid research, incorporating mechanobiological modulation, ultrasound stimulation, and acoustofluidics to enhance the engineering of organoids. The focus will extend to the development of organoids-on-a-chip platforms with integrated biosensors, providing real-time monitoring capabilities for improved disease modeling and drug testing. Additionally, the manuscript will address the challenges and opportunities associated with large-scale manufacturing of organoids, emphasizing the scalability of regenerative medicine approaches. The proposed research will contribute to the advancement of 3D tissue models, micro physiological systems, and multi-organoid systems, offering a very comprehensive perspective on the potential of these systematic technologies in reshaping the landscape of personalized medicine.

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Published

2024-03-20

How to Cite

Akhtar, Z. B., & Gupta, A. D. . (2024). Integrative Approaches for Advancing Organoid Engineering: From Mechanobiology to Personalized Therapeutics. Journal of Applied Artificial Intelligence, 5(1), 1–27. https://doi.org/10.48185/jaai.v5i1.974

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Articles