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Biomedical Natural Language Processing
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Biomedical Natural Language Processing

Siddhartha Chaturvedi and Hoifung Poon
Microsoft, 2021
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Editorial Rating

8

Qualities

  • Analytical
  • Scientific
  • Applicable

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Biomedical Natural Language Processing (NLP) stands on the cutting edge of artificial intelligence (AI), poised to transform medicine. New technologies can extract patient data in granular detail and at large scales, which may lead to custom, patient-specific treatments. In this Microsoft Tech Minutes video, Microsoft’s Siddhartha Chaturvedi talks with Dr. Hoifung Poon, senior director of Biomedical NLP at Microsoft Health Futures about NLP’s current and future abilities.

Summary

Biomedical Natural Language Processing (NLP) is on the cutting edge of artificial intelligence.

Investment and research in natural language processing bias toward general domains – such as the news media – rather than specific domains like medicine, in which large amounts of information are available, but have proven difficult to analyze on the scale required. The development of Biomedical NLP aims to deal with biomedicine’s massive amounts of information.

Furthering NLP, most patient data is now available in digital form, and Electronic Medical Records have become the norm. Biomedical NLP can provide a detailed, accurate picture of patient data, and help usher in an era of precision medicine featuring custom treatments developed for individual patients.

NLP will transform...

About the Speakers

Siddhartha Chaturvedi collaborated in building mosquito-catching robots, T cell–based diagnostics and domain-specific natural language processing. Dr. Hoifung Poon is senior director of Biomedical NLP at Microsoft Health Futures.

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