Decoding Alzheimer's: Using Algorithms To Predict Cognitive Decline
Description
In this episode, we speak with Dr. Mohammad Fili and Dr. Auriel Willette about the exciting applications of machine learning and brain imaging in the context of Alzheimer's disease and related dementias. They explain how combining emerging technologies with existing large datasets can uncover compelling patterns in the brain that distinguish those on a trajectory of cognitive decline from those who maintain or even improve their mental abilities as they age.
Links
- Show page: alz.org/ISTAARTpodcast
- ISTAART: alz.org/ISTAART
- Featured paper: https://alz-journals.onlinelibrary.wiley.com/doi/10.1002/dad2.12595/utm_source=podcast&utm_medium=newsletter&utm_campaign=IVS1_Mohammad&utm_id=ISTAARTVoices
- Dr. Mohammad Fili: https://ceat.okstate.edu/iem/people/mohammad-fili-faculty-profile.html
- Dr. Auriel Willette: https://ifh.rutgers.edu/faculty_staff/auriel-a-willette-ba-ms-phd/
- Podcast CMEs: www.alz.org/ISTAARTpodcastCME
- ISTAART Ambassador Program: www.alz.org/ISTAARTambassadors
- Alzheimer's Association International Conference® (AAIC®): alz.org/AAIC
- Alzheimer's Association Scientific Meetings: alz.org/scientificmeetings
- Alzheimer's Association Journal Family: alz.org/journals
- Social: #ISTAART @ISTAART
The views and opinions expressed in this podcast are solely those of the guests and do not necessarily reflect those of the Alzheimer's Association. The Alzheimer's Association does not endorse any external product or service. This podcast is for informational purposes and is not intended to provide medical advice, please consult your physician.
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