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AI Meets Alzheimer's: A Journey with Dr. Andrew Holbrook
Manage episode 425580290 series 3557210
In this episode of Research Renaissance, host Deborah Westphal sits down with Dr. Andrew Holbrook, an Assistant Professor of Biostatistics at UCLA and a 2023 Toffler Scholar.
Dr. Holbrook shares his fascinating journey from studying ancient languages and teaching in China to pioneering research in biostatistics and Alzheimer's disease.
Together, they delve into the intersection of artificial intelligence, advanced algorithms, and brain science, exploring how these tools are revolutionizing our understanding of neurological diseases.
Key Topics Discussed:
Dr. Holbrook's Unique Journey: From studying ancient Greek, Latin, and German literature to teaching in China and eventually finding his passion in biostatistics and AI.
AI and Alzheimer's Research: How Dr. Holbrook uses AI and advanced algorithms to understand the brain and Alzheimer's disease better. The importance of cortical thickness measurements and their role in predicting Alzheimer's.
Statistical Challenges and Innovations: The complexity of analyzing structured data with time and spatial dimensions, and the breakthroughs in AI that are making real-time brain analysis possible.
The Role of Deep Learning: An explanation of deep learning and its critical role in accelerating data analysis, making it feasible to process complex brain imaging data quickly.
Collaboration and Open Source in Research: The importance of interdisciplinary teams and the role of open source software in advancing scientific research.
Personal Connection to Alzheimer's: Dr. Holbrook's motivation is driven by personal experiences and the broader impact of neurological diseases on families.
Future of AI in Medicine: Predictions for the next 5-10 years, including the development of precision medicine tools and the use of functional brain data for early detection of dementia.
"Deep learning is about approximating functions, and it allows us to do all sorts of interesting things in science and industry." - Dr. Andrew Holbrook
Contact Information:aholbroo@g.ucla.edu
Subscribe to Research Renaissance for more insightful discussions on cutting-edge brain science. Visit our website and feel free to reach out with your thoughts, suggestions, or inquiries about the Karen Toffler Charitable Trust.
Thank you for joining us on this journey into the forefront of brain science. Together, we can advance our understanding of the brain and address its ailments. Until we meet again, onward and upward.
To learn more about the breakthroughs discussed in this episode and to support ongoing research, visit our website at tofflertrust.org.
Technical Podcast Support by Jon Keur at Wayfare Recording Co.
35 에피소드
Manage episode 425580290 series 3557210
In this episode of Research Renaissance, host Deborah Westphal sits down with Dr. Andrew Holbrook, an Assistant Professor of Biostatistics at UCLA and a 2023 Toffler Scholar.
Dr. Holbrook shares his fascinating journey from studying ancient languages and teaching in China to pioneering research in biostatistics and Alzheimer's disease.
Together, they delve into the intersection of artificial intelligence, advanced algorithms, and brain science, exploring how these tools are revolutionizing our understanding of neurological diseases.
Key Topics Discussed:
Dr. Holbrook's Unique Journey: From studying ancient Greek, Latin, and German literature to teaching in China and eventually finding his passion in biostatistics and AI.
AI and Alzheimer's Research: How Dr. Holbrook uses AI and advanced algorithms to understand the brain and Alzheimer's disease better. The importance of cortical thickness measurements and their role in predicting Alzheimer's.
Statistical Challenges and Innovations: The complexity of analyzing structured data with time and spatial dimensions, and the breakthroughs in AI that are making real-time brain analysis possible.
The Role of Deep Learning: An explanation of deep learning and its critical role in accelerating data analysis, making it feasible to process complex brain imaging data quickly.
Collaboration and Open Source in Research: The importance of interdisciplinary teams and the role of open source software in advancing scientific research.
Personal Connection to Alzheimer's: Dr. Holbrook's motivation is driven by personal experiences and the broader impact of neurological diseases on families.
Future of AI in Medicine: Predictions for the next 5-10 years, including the development of precision medicine tools and the use of functional brain data for early detection of dementia.
"Deep learning is about approximating functions, and it allows us to do all sorts of interesting things in science and industry." - Dr. Andrew Holbrook
Contact Information:aholbroo@g.ucla.edu
Subscribe to Research Renaissance for more insightful discussions on cutting-edge brain science. Visit our website and feel free to reach out with your thoughts, suggestions, or inquiries about the Karen Toffler Charitable Trust.
Thank you for joining us on this journey into the forefront of brain science. Together, we can advance our understanding of the brain and address its ailments. Until we meet again, onward and upward.
To learn more about the breakthroughs discussed in this episode and to support ongoing research, visit our website at tofflertrust.org.
Technical Podcast Support by Jon Keur at Wayfare Recording Co.
35 에피소드
모든 에피소드
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