Artificial Intelligence | Coulter Department of Biomedical Engineering

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BME Seminar Series speaker Michael Girard discusses ophthalmic engineering

Probing the Mechanics of Glaucoma

Researcher Michaël Girard delivers eye-popping presentation at BME Seminar Series

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Using AI to Detect and Treat Cancer

On the Generating Buzz podcast, biomedical engineer Anant Madabhushi explains how artificial intelligence can improve the diagnosis and treatment of cancers.

Photo of male student in a pink shirt in the center of the photo pointing to a poster of his research as another male student in a blue shirt on the left side of the photo looks on.

Inaugural AI Symposium Explores Impact of Artificial Intelligence in Biotech Industry

A male student with a blue shirt sits in front of a computer moving the computer mouse as a male faculty member, standing behind the computer screen, points to a digital DNA sequence on the screen.

Starting this Summer, Students Can Minor in Applications of Artificial Intelligence and Machine Learning

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New Software Means Biomedical Researchers Don’t Have to Be Computer Scientists Too

Georgia Tech, Emory team creates open-source tool that lets researchers use artificial intelligence to analyze moving and still images collected by any imaging device

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Georgia Tech, Emory Researchers Use Artificial Intelligence to Accelerate Access to COVID-19 Treatment

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The Impact of Data Augmentation: Georgia Tech Researchers Lead NSF Study

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Georgia Tech, Emory Pursuing AI-Assisted Social Justice in Tissue Biomanufacturing

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Georgia Tech, Emory researchers receive $2.46 Million Grant to Develop Intelligent Tools for Assessing Heat Exposure Effects

AI Health Scholar Anant Madabhushi Joins Emory School of Medicine, Coulter BME

Eva Dyer

Making Sense of the Brain

Eva Dyer at the forefront of surge in computational neuroscience research at Georgia Tech

This group of clinicians and scientists will collaborate with Chethan Pandarinath, front right, on a $2.4 million, five-year project using artificial intelligence tools to revolutionize the speed and accuracy of brain-machine interfaces. The team includes Robert Gross, front left, a functional neurosurgeon; Jonathan Glass, back left, a neurologist and director of Emory's ALS Center; and Nicholas Au Yong, also a functional neurosurgeon. (Photo: Jack Kearse)

Pandarinath Wins NIH New Innovator Award for AI-Powered Brain-Machine Interfaces

Artificial intelligence could be the key to faster, universal interfaces for paralyzed patients

Pandarinath Building Cloud-Based Tools to Give Any Neuroscientist the Power of AI

Illustration of a coronavirus against the backdrop of computer code. The code is clear in the center of the virus and spreads outward out of focus. (Illustration: Joshua Stewart; Computer Code Image via Negative Space via Pexels.)

Covid Seed Grant Yields Data Mining Discoveries

Undergraduate researchers help Cassie Mitchell turn millions of studies into actionable insight

BME Professor May Wang (left) and students Li Tong and Janani Venugopalan led the research team.

Using Deep Learning to Better Predict Alzheimer’s

Wang Lab uses AI model to generate new insights into patients’ disease progression