In this half-hour episode, Judy goes through September 2020 papers that look at diagnosing or characterizing Alzheimer's disease based on the detection of the proteins amyloid and tau in the brain and other structures. Topics include conventional and novel neuroimaging techniques, deep learning methods and retinal amyloid-beta. Tune in to find out more! Sections in this episode: PET Deep Learning Methods 1:06 Standardized Uptake Value Ratios 4:00 Mild Cognitive Impairment 12:05 Neuropsychological Tests and Executive Function 15:28 Other 17:49 Non-PET Retinal Amyloid-Beta 21:22 Other 24:11
In this half-hour episode, Judy goes through September 2020 papers that look at diagnosing or characterizing Alzheimer's disease based on the detection of the proteins amyloid and tau in the brain and other structures. Topics include conventional and novel neuroimaging techniques, deep learning methods and retinal amyloid-beta. Tune in to find out more!
Sections in this episode:
PET
Deep Learning Methods 1:06
Standardized Uptake Value Ratios 4:00
Mild Cognitive Impairment 12:05
Neuropsychological Tests and Executive Function 15:28
Other 17:49
Non-PET
Retinal Amyloid-Beta 21:22
Other 24:11
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Today's episode was scripted, hosted & edited by Judy Cheng, reviewed by Marcia Jude, and made possible by an entire team of volunteers behind the scenes. Thanks to Elyn Rowe and Jacques Ferreira for sorting all of the September 2020 abstracts into themes.
Our music is from "Journey of a Neurotransmitter" by musician and fellow neuroscientist Anusha Kamesh; you can find the original piece and her other music on soundcloud under Anusha Kamesh or on her YouTube channel, AKMusic
https://www.youtube.com/channel/UCMH7chrAdtCUZuGia16FR4w
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If you are interested in joining the team, send us your CV by email. We are specifically looking for help with abstract summary and podcast editing. However, if you are interested in helping in other ways, don't hesitate to apply anyways.
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*About AMiNDR: *
Learn more about this project and the team behind it by listening to our first episode: "Welcome to AMiNDR!"