期刊
REGENERATIVE MEDICINE
卷 16, 期 3, 页码 207-213出版社
FUTURE MEDICINE LTD
DOI: 10.2217/rme-2020-0135
关键词
artificial intelligence; data analytics; industry; intellectual property; machine learning; technology platforms
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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