Abstract

The convergence of artificial intelligence (AI) and stem cell therapy marks a transformative advancement in regenerative medicine. This manuscript explores how AI-driven approaches are being integrated into stem cell research and therapy, enhancing disease mechanism insights, therapeutic strategies, and clinical practices. AI's role spans from diagnostic algorithms to predictive analytics for patient outcomes, particularly in complex biomedical data analysis. This integration addresses challenges in stem cell therapy, such as precise cell characterization and optimization of cell differentiation processes. AI-enhanced therapies are showing promise in treating various conditions, including neurodegenerative diseases, orthopedic ailments, and cardiovascular disorders. The manuscript highlights several case studies demonstrating AI's impact on stem cell therapy, such as predictive analytics in post-transplant relapse and automated cell classification. It also discusses the broadening scope of AI in medical fields, economic and accessibility considerations, and the ethical and regulatory challenges posed by this technological integration. The future direction emphasizes ongoing AI advancements, improving predictive models, and robust ethical frameworks. This synthesis underscores the potential of AI and stem cell therapy to revolutionize healthcare by offering new treatment avenues for previously incurable diseases.

Keywords:

artificial intelligence, stem cell therapy, regenerative medicine, machine learning, biomedical data analysis, disease mechanisms, therapeutic strategies

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How to Cite

Suresh, V., Jomon De Joseph, Manasa, G., Seshadri , H., Singla, P., & Rajagopal, V. (2024). Advancements of artificial intelligence-driven approaches in the use of stem cell therapy in diseases or disorders: clinical applications and ethical issues. The Evidence, 2(3). https://doi.org/10.61505/evidence.2024.2.3.88

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Copyright (c) 2024 Vinay Suresh, Jomon De Jomon De Joseph, Goudicherla Manasa, Hariharan Seshadri , Priyanka Singla, Vineeth Rajagopal

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Copyright© by the author(s). Published by the Evidence Journals. This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.

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