NYU docs are using machine learning to stop a stealthy disease before it’s too late

Lymphedema causes unsightly swelling in the arms and legs. But researchers Mei Fu and Yao Wang have an idea for catching early symptoms sooner.

Researchers at NYU’s Tandon School of Engineering have teamed up with those from the university’s Rory Meyers College of Nursing to develop a machine-learning algorithm that could help detect a lymphatic system disease before doctors are able to.

There is no cure for lymphedema, only physical exercises that can keep the symptoms in check.

Early detection of the disease would allow for physical therapy that could theoretically stop the disease’s progress enough to never allow it to develop.

“Machine learning will help us to develop an algorithm to determine a patient’s status or predict if they will have a measurable symptom later on,” explained Mei Fu, an associate professor at NYU’s Rory Meyers College of Nursing, by telephone last week. “Each time the patients enter the data, the algorithm will teach itself. Later on, machine learning will probably help us say which treatment is better for which kind of patients.”

Read more at Technically Brooklyn

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