NYAI #21: AI in Brain Imaging

Using artificial intelligence, machine learning, and deep learning to analyze the human brain has perhaps the greatest potential to help humans in health, wellness, and anti-aging and also has the myriad potential for products and services and new businesses. Most recently we have been working on building classifiers for subtypes of neurons to automatically label neurons in many diverse brain regions.

On the one side, this is useful for scientific work in Alzheimer’s or brain injury and on another side there futuristic applications of neuroimaging.

The connectome is like the genome of the mind — it is the neural network of connections in the brain. You are your connectome. Many pieces of connectomes from different organisms and brain regions have been studied in great detail, but the holy grail is in vivo non-destructive non-invasive connectome imaging.

Think of it as Time Machine for your brain — create a backup every two weeks. There are many interesting scientific issues at play in order to perform this kind of imaging operation that I will discuss in this talk. As Alzheimer’s disease and dementia continue to devastate older populations new ways to measure neurodegenerative disease and design effective treatments are necessary.

Assistant Professor, Institute for Genomics and Multiscale Biology
Department of Genetics and Genomic Sciences
Icahn School of Medicine at Mount Sinai

About the Speaker

Russell Hanson is currently a professor of Genetics and Genomic Sciences at the Mount Sinai School of medicine and also serves as the CSO and founder of Brain Backups. Brain Backups develops technologies in artificial intelligence and imaging to analyze the brain at unprecedented scales and resolution. Previously he has held positions at Harvard, MIT, the Danish Technical University, and Reed College. He is an expert in analyzing large and diverse datasets and applying cutting edge methods to analyze and interpret these data.




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