Rachel Ooi Wei Gee*
Volume6-Issue3
Dates: Received: 2025-03-11 | Accepted: 2025-03-18 | Published: 2025-03-19
Pages: 266-281
Abstract
As Artificial Intelligence (AI), quantum intelligence, and deep technologies advance rapidly, human cognitive flexibility, emotional resilience, and adaptability are experiencing a significant decline. AI excels in optimization, automation, and efficiency, yet has not fostered human cognitive regeneration, worse hinders well-being restorations. Mental health problems account for over $1 trillion in global productivity losses annually [1] while neurodegenerative diseases, such as dementia, are projected to cost $2.8 trillion by 2025 [2]. The World Bank estimates that AI-driven automation will displace 1.2 billion jobs by 2040 [3], further exacerbating workforce disruption and adaptability challenges. Despite the promise of AI-driven regenerative healthcare, cognitive resilience remains an unaddressed priority.This review examines the transition from efficiency-driven AI models to regenerative intelligence, focusing on human cognitive and health regeneration. Through a Systematic Literature Review (SLR), we synthesize key frameworks, including the Regenerative Experience (RX) Framework, 3Rs-T Framework, and Trinity Growth Model [4], to establish a theoretical foundation for regenerative AI systems. Key policy interventions and practical applications are drawn from ASEAN’s economic regeneration strategies and systemic leadership approaches [5]. Unlike empirical studies, this review synthesizes interdisciplinary research to establish a conceptual roadmap for integrating AI with neuroplasticity, behavioral economics, and governance ethics. By embedding Regenerative Intelligence [6] into AI governance, healthcare, workforce adaptation, and education, this research proposes a paradigm shift towards AI as a catalyst for long-term human flourishing.
FullText HTML
FullText PDF
DOI: 10.37871/jbres2081
Certificate of Publication

Copyright
© 2025 Wei Gee RO. Distributed under Creative Commons CC-BY 4.0
How to cite this article
Wei Gee RO. Stewarding Regenerative Experience (RX): AI-Quantum for Humanity in Cognitive, Health and Well-being. J Biomed Res Environ Sci. 2025 Mar 19; 6(3): 266-281. doi: 10.37871/jbres2081, Article ID: JBRES2081, Available at: https://www.jelsciences.com/articles/jbres2081.pdf
Subject area(s)
References
- Mental health & AI adaptation. Global report. World Health Organization. 2023.
- Alzheimer’s disease facts and figures. Alzheimer’s & Dementia. Alzheimer's Association. 2024.
- The future of work in the age of AI: Global policy report. World Bank. 2024.
- Gee ROW. Unshaken in digital genesis - Unleashing your superpowers to thrive more purposefully. Amazon Publishing; 2022.
- Gee ROW. Building ASEAN’s regenerative economy through strategic capital and innovation ecosystems. Env Sci Climate Res. 2025;3(1):01-14. doi: 10.20944/preprints202501.0731.v1.
- Gee ROW. Greening the Blue Ocean: Leading Systemic Transformation with Regenerative Intelligence. Earth Envi Scie Res & Rev. 2025;8(1):01-27. doi: 10.20944/preprints202502.0572.v1.
- Statista. Value of global digital trade from 2014 to 2023. Statist a Research Department. 2024.
- The future of work: AI, reskilling, and economic disruption. McKinsey Global Institute. 2024.
- The economic potential of generative AI: Mapping the future. McKinsey Global Institute. 2024.
- The rise of AI-induced cognitive overload: Implications for workforce adaptability. Harvard Business Review. 2024.
- AI-driven learning adaptability & the future of neuroplasticity. Harvard Neuroscience Lab. 2023.
- AI & future of jobs: Global Workforce Adaptation Report. World Economic Forum. 2024.
- Gee ROW. Neurons to nations: Regenerative leadership and integrated consciousness for systemic shifts in the anthropogenic. Int J Psychiatry. 2025;10(1):01-15.
- Moher D, Liberati A, Tetzlaff J, Altman DG. PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. Open Med. 2009;3(3):e123-30. Epub 2009 Jul 21. PMID: 21603045; PMCID: PMC3090117.
- Bowe AK, Lightbody G, Staines A, Murray DM. Big data, machine learning, and population health: predicting cognitive outcomes in childhood. Pediatr Res. 2023 Jan;93(2):300-307. doi: 10.1038/s41390-022-02137-1. Epub 2022 Jun 9. PMID: 35681091; PMCID: PMC7614199.
- Elhaddad M, Hamam S. AI-Driven Clinical Decision Support Systems: An Ongoing Pursuit of Potential. Cureus. 2024 Apr 6;16(4):e57728. doi: 10.7759/cureus.57728. PMID: 38711724; PMCID: PMC11073764.
- OECD. AI policy observatory: Responsible AI Frameworks around the World; 2024.
- Dweck C. Mindset: The new psychology of success. Ballantine Books; 2021.
- Sweller J. Cognitive load theory in AI-based learning environments. Journal of Educational Psychology. 2019;45(2):135-149.
- Doidge N. The brain’s way of healing: Remarkable discoveries in neuroplasticity. New York: Viking; 2015.
- Kandel ER. Principles of neural science. McGraw-Hill; 2012.
- Hebb DO. The organization of behavior: A neuropsychological theory. 1st ed. New York: Psychology Press; 2002.
- Brynjolfsson E, McAfee A. Machine, Platform, Crowd: Harnessing AI for the future of work. W W Norton: 2017.
- Ford M. The rise of the robots: Technology and the Threat of Mass Unemployment. Basic Books. London: One world. 2015.
- Bostrom N. Superintelligence: Paths, dangers, strategies. Oxford University Press; 2014.
- Tegmark M. Life 3.0: Being human in the age of artificial intelligence. Knopf; 2017.
- Harari YN. Homo deus: A brief history of tomorrow. Harvill Secker; 2016.
- Russell S, Norvig P. Artificial intelligence: A modern approach. 4th ed. Pearson; 2020.
- Zohar D, Marshall I. Spiritual intelligence: The ultimate intelligence. Bloomsbury Publishing; 2000.
- Floridi L. Ethics of AI and information. Springer. 2018.
- Walsh T. Machines behaving badly: Ethics in AI. MIT Press; 2019.
- Siau K, Wang W. Building ethical AI governance for the future. Journal of AI Ethics. 2020:1(1);23-45.
- Topol E. Deep medicine: How AI can make healthcare human again. Basic Books; 2019.
- Mukherjee S. The gene: An intimate history. Scribner; 2016.
- Venter J C. Life at the speed of light: From the double helix to the dawn of digital life. Viking; 2013.
- MIT CSAIL. AI in regenerative medicine and neural augmentation: Annual Review. MIT Press; 2024.
- Brown B. Dare to lead: Brave work, tough conversations, whole hearts. Random House; 2018.
- Senge P. The fifth discipline: The art and practice of the learning organization. Double-Day; 2006.
- Laloux F. Reinventing organizations: A guide to creating organizations inspired by the next stage of human consciousness. Nelson Parker; 2014.
- Rifkin J. The green new deal: Why the fossil fuel civilization will collapse by 2028. St. Martin’s Press; 2019.
- IBM AI Research. Cognitive AI models in workforce adaptability: Annual insights. IBM Press. 2023.
- Deloitte Insights. Regenerative intelligence in business leadership: AI’s Role in Economic Resilience. Deloitte. 2024.
- UN AI Task Force. Artificial intelligence & smart cities: Governance, Ethics & Inclusion. UN Publications. 2023.
- AI & Urban sustainability: The future of smart city adaptability. MIT Media Lab. MIT Press; 2023.
- Human-centered AI: Rethinking the role of AI in society. Stanford AI Lab. Stanford University Press; 2023.
- AI for Good: Creating inclusive and regenerative in-telligence systems. Carnegie Mellon AI Policy Institute. CMU Publications. 2024.
- AI governance & public policy: Ensuring AI benefits all societies. Harvard Kennedy School. Harvard University. 2023.
- Penrose R. The Emperor’s new mind: AI, quantum physics, and human consciousness. Oxford University Press; 2020.
- Deutsch D. The beginning of infinity: Explanations that transform the World. Viking. 2012.
- Tegmark M. Quantum AI & the future of intelligence. Knopf. 2018.
- Quantum AI in neuroplasticity & human intelligence augmentation. MIT AI Quantum Lab. MIT Press; 2024.
- AI & the future of cognitive regeneration: A technical perspective. Deep Mind Research. Google Deep mind. 2024.
- Deep learning & AI-neuroscience convergence: Annual insights. Google Brain. Google AI. 2024.
- Stanford AI ethics. AI & spiritual intelligence: Developing ethical AI decision-making models. Stanford University Press; 2023.
- The cognitive economy: How AI reshapes intelligence & economic growth. MIT Sloan. MIT Press; 2024.
- AI & global economic impact: A human-centered perspective. World Bank. World Bank Publications. 2024.
- Digital overload and adolescent depression: A neuroscience review. Harvard Neuroscience Institute. Harvard Medical School Reports. 2024.
- Harvard business review. The rise of AI-Induced cognitive overload: Implications for workforce adaptability. HBR Publications. 2024.
- Ngiam KY, Khor IW. Big data and machine learning algorithms for health-care delivery. Lancet Oncol. 2019 May;20(5):e262-e273. doi: 10.1016/S1470-2045(19)30149-4. Erratum in: Lancet Oncol. 2019 Jun;20(6):293. doi: 10.1016/S1470-2045(19)30294-3. PMID: 31044724.
- Bouderhem R. Shaping the future of AI in healthcare through ethics and governance. Humanit Soc Sci Commun. 2024. doi: 10.1057/s41599-024-02894-w.
- Illes J, Weiss S, Bains J, Chandler JA, Conrod P, De Koninck Y, Fellows LK, Groetzinger D, Racine E, Robillard JM, Sokolowski MB. A Neuroethics Backbone for the Evolving Canadian Brain Research Strategy. Neuron. 2019 Feb 6;101(3):370-374. doi: 10.1016/j.neuron.2018.12.021. PMID: 30731060.
- Medenica V, Ivanovic L, Milosevic N. Applicability of artificial intelligence in neuropsychological re-habilitation of patients with brain injury. Applied Neuropsychology. doi: 10.1080/23279095.2024.2364229.
- Jeste DV, Alexopoulos GS, Blazer DG. Wisdom, resilience, and well-being in later life. Annual Re-view of Clinical Psychology. 2024. doi: 10.1146/annurev-clinpsy-081423-031855.
- Fosch-Villaronga E, Drukarch H. On healthcare robots: Concepts, definitions, and considerations for healthcare robot governance. arXiv Preprint. 2021. doi: 10.48550/arXiv.2106.03468.
- Smith E, Ali D, Wilkerson B, Dawson WD. A brain capital grand strategy: Toward economic reimagi-nation. Molecular Psychiatry. 2021. doi: 10.1038/s41380-020-00918-w.
- Pal G. Robotic augmentation in healthcare: Transforming patient care and medical precision in the era of transhumanism. In enhancing the modern workforce through AI. IGI Global. 2025.
- Kapoor M. Global business environment: Industry 5.0 and beyond. Google Books.
- Mohammadi AT, Far YK. Unveiling the invisible: A Journey through the landscape of disease. Google Books. 2024.
- Wright J, De Togni G. An introduction to robots and artificial intelligence for healthcare in Japan and South Korea. Asian Science, Technology and Society. Taylor and Francis. 2024. doi: 10.1080/18752160.2024.2350771.
- Le T. The neuro generation: The new era in brain enhancement that is revolutionizing the way we think, work, and heal. Google Books. 2020.