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Harnessing the power of Big Data and AI for faster, better, and more efficient studies

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Manage episode 198534361 series 31038
内容由CHI Podcasts and Cambridge Healthtech Podcasts提供。所有播客内容(包括剧集、图形和播客描述)均由 CHI Podcasts and Cambridge Healthtech Podcasts 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
As more patients become connected, there’s a new data source that can help us understand and engage patients-- data collected passively through wearables, devices, apps and sensors. Envision being able to gather minute-level data directly from patients, monitor adherence to a protocol outside of brick and mortar walls, and enroll patients into a study within 24 hours -- all of these scenarios are possible in the digital era of medicine. In this podcast, we will explore new methods for: · Integrating data from wearables, sensors, and apps into a study and constructing better measures of individual health · Developing novel endpoints based on an individual’s day-to-day experience · Leveraging big data and AI to predict disease onset, progression/regression, acute events, and identify key intervention points · Optimizing study recruitment and protocol compliance through digital channels For more information, please visit http://www.Bio-ITWorld.com
  continue reading

255集单集

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Manage episode 198534361 series 31038
内容由CHI Podcasts and Cambridge Healthtech Podcasts提供。所有播客内容(包括剧集、图形和播客描述)均由 CHI Podcasts and Cambridge Healthtech Podcasts 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
As more patients become connected, there’s a new data source that can help us understand and engage patients-- data collected passively through wearables, devices, apps and sensors. Envision being able to gather minute-level data directly from patients, monitor adherence to a protocol outside of brick and mortar walls, and enroll patients into a study within 24 hours -- all of these scenarios are possible in the digital era of medicine. In this podcast, we will explore new methods for: · Integrating data from wearables, sensors, and apps into a study and constructing better measures of individual health · Developing novel endpoints based on an individual’s day-to-day experience · Leveraging big data and AI to predict disease onset, progression/regression, acute events, and identify key intervention points · Optimizing study recruitment and protocol compliance through digital channels For more information, please visit http://www.Bio-ITWorld.com
  continue reading

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