4.3 Review

Understanding the role of digital platforms in technology readiness

Journal

REGENERATIVE MEDICINE
Volume 16, Issue 3, Pages 207-213

Publisher

FUTURE MEDICINE LTD
DOI: 10.2217/rme-2020-0135

Keywords

artificial intelligence; data analytics; industry; intellectual property; machine learning; technology platforms

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State-of-the-art digital tools leveraging machine learning algorithms and advanced data analytics have the potential to revolutionize regenerative medicine by extracting intelligence from various sources. Integrating these tools into a comprehensive platform, as demonstrated by initiatives at Mayo Clinic, enhances their effectiveness for researchers and clinicians in the field.
State-of-the-art digital tools that take advantage of machine learning-derived algorithms and advanced data analytics have the potential to transform regenerative medicine by enabling investigators and clinicians to extract intelligence and actionable insights from published studies, electronic health records, pathology images and a variety of other sources. Used in isolation, however, these tools are not as effective as they can be integrated into a comprehensive strategy - a platform. We discuss the value of a platform strategy by summarizing several initiatives that have been launched at Mayo Clinic, including a clinical data analytics platform, a remote diagnostics and management platform and a virtual care system.

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