Machine Vision and Learning for A-T Neurophenotypes


Virtual (US only)


Anoopum Gupta, MD, PhD


The purpose of this study is to develop sensitive, automated and objective means of measuring neurological disease severity for 1) use in clinical trials of potential therapies and 2) aiding the earlier diagnosis of A-T, especially milder forms of the disease.

To develop these objective quantitative measures, Dr. Gupta will train a computer system to analyze video, audio and potentially other types of digital data captured from individuals with A-T. The system will then identify patterns in the data that are specific to A-T, using an artificial intelligence technique known as “machine learning.”

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