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内容由Michigan Medicine Department of Communication and Michigan Medicine Podcast Network提供。所有播客内容(包括剧集、图形和播客描述)均由 Michigan Medicine Department of Communication and Michigan Medicine Podcast Network 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
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Minding Memory

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内容由Michigan Medicine Department of Communication and Michigan Medicine Podcast Network提供。所有播客内容(包括剧集、图形和播客描述)均由 Michigan Medicine Department of Communication and Michigan Medicine Podcast Network 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

Welcome to Minding Memory. In this podcast we discuss topics related to dementia research. This is an all-hands-on-deck moment for dementia research, and we have topics for both those new to the space as well as old pros. We start with some basics, like: What exactly is dementia? What are the different types of dementia? What is the TICS, if not a swarm of blood-sucking insects? But we also invite researchers on to discuss their interesting work to give you a glimpse at the questions, data, and methods moving the field forward.

Minding Memory is co-hosted by Matthew Davis and Lauren Gerlach. Matt and Lauren are health services researchers and professors at the University of Michigan. Matt’s PhD is in Data Science and Lauren is a geriatric psychiatrist. The Minding Memory podcast is part of the Center to Accelerate Population Research in Alzheimer’s (CAPRA) at the University of Michigan, supported by the National Institute on Aging at the National Institutes of Health. Additional support also comes from the Institute for Healthcare Policy and Innovation. The content of this podcast does not represent the views of the National Institutes of Health or the University of Michigan. Please consider subscribing to this podcast and make sure to check out our website. On our website you’ll also find links to the center’s seminar series and data products created specifically for dementia research.


You can subscribe to Minding Memory on Apple Podcasts, Spotify, or wherever you listen to podcasts.



Hosted on Acast. See acast.com/privacy for more information.

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35集单集

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Minding Memory

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Manage series 3609642
内容由Michigan Medicine Department of Communication and Michigan Medicine Podcast Network提供。所有播客内容(包括剧集、图形和播客描述)均由 Michigan Medicine Department of Communication and Michigan Medicine Podcast Network 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

Welcome to Minding Memory. In this podcast we discuss topics related to dementia research. This is an all-hands-on-deck moment for dementia research, and we have topics for both those new to the space as well as old pros. We start with some basics, like: What exactly is dementia? What are the different types of dementia? What is the TICS, if not a swarm of blood-sucking insects? But we also invite researchers on to discuss their interesting work to give you a glimpse at the questions, data, and methods moving the field forward.

Minding Memory is co-hosted by Matthew Davis and Lauren Gerlach. Matt and Lauren are health services researchers and professors at the University of Michigan. Matt’s PhD is in Data Science and Lauren is a geriatric psychiatrist. The Minding Memory podcast is part of the Center to Accelerate Population Research in Alzheimer’s (CAPRA) at the University of Michigan, supported by the National Institute on Aging at the National Institutes of Health. Additional support also comes from the Institute for Healthcare Policy and Innovation. The content of this podcast does not represent the views of the National Institutes of Health or the University of Michigan. Please consider subscribing to this podcast and make sure to check out our website. On our website you’ll also find links to the center’s seminar series and data products created specifically for dementia research.


You can subscribe to Minding Memory on Apple Podcasts, Spotify, or wherever you listen to podcasts.



Hosted on Acast. See acast.com/privacy for more information.

  continue reading

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