Diabetics frequently suffer nerve damage to their extremities that can cause a loss of foot sensation, so they might not notice a problem with their skin—“even when it’s breaking down or forming an ulcer,” Yap says. If such ulcers go untreated, they can infect the foot and require it to be amputated. FootSnap AI can respond to new demands rapidly, “with the cloud infrastructure speeding up the inference time and providing better accuracy in ulcer detection,” Yap says.
To train its machine-learning algorithm, FootSnap AI ingests thousands of images of diabetic foot ulcers, supplied and annotated by podiatrists at . When a patient uploads an image of his or her foot to the app, the FootSnap algorithm looks for similar characteristics to those other images.. Since upgrading to Oracle, “we’re not spending time maintaining servers anymore,” says Bill Cassidy, a research associate and lead application developer on the project. “It affords us a lot more time to do the real work of researching and writing papers about how to solve this health crisis.
, who is working on a project to capture carbon dioxide in the atmosphere and permanently store it in rocks underground. With his team of PhD students, he has developed aSaswata Hier-Majumder is a professor of geophysics at Royal Holloway University of London.
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