Using AI to Improve Treatments for Duchenne Muscular Dystrophy

UF’s Krista Vandenborne is leading a project seeking to improve the effectiveness of clinical trials of treatments for childhood neuromuscular diseases, such as Duchenne muscular dystrophy. It combines a massive dataset of sophisticated muscle imaging data with UF’s powerful artificial intelligence computing.

Assessing the effectiveness of drugs and gene therapies in clinical trials can be difficult when based on measures of participants’ physical functioning, especially with young children. In contrast, muscle imaging provides objective evidence of muscle changes. “With the capabilities of AI, we can more quickly and accurately extract answers to treatment questions that will accelerate new therapies and bring us closer to a cure,” says Vandenborne.

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