Summary
This narrative review examines the role of digital platforms in advancing regenerative medicine practice. The authors argue that whilst machine learning algorithms and data analytics tools show promise individually, their integration into comprehensive platforms — as demonstrated through Mayo Clinic case studies — is essential for extracting actionable insights from clinical data, imaging, and published literature. The paper emphasises platform strategy as superior to isolated tool deployment.
Regional applicability
The findings relate to healthcare information technology infrastructure and are not specific to agricultural or food systems. UK healthcare organisations and research institutions may consider similar platform strategies for clinical research, though direct applicability to farming systems and nutrition research is limited unless adapted to agricultural data integration contexts.
Key measures
Not applicable — this is a descriptive review of digital platform implementations rather than an empirical study with quantitative metrics.
Outcomes reported
The paper discusses how digital platforms integrating machine learning and advanced data analytics can support regenerative medicine research and clinical practice. It examines platform strategies implemented at Mayo Clinic, including clinical data analytics, remote diagnostics, and virtual care systems.
Topic tags
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