A research team at Johns Hopkins Medicine has created and trained a machine learning model to calculate percent necrosis (PN) — or, what percentage of a tumor is “dead” and no longer active — in patients with osteosarcoma, a type of bone cancer. The model’s calculation was 85% correct when compared to the results of a musculoskeletal pathologist.
Tag: machine learning model
Mount Sinai Researchers Develop Machine Learning Model that Can Detect and Predict COVID-19 from Collected Data on Wearable Devices
Mount Sinai researchers have developed a machine learning algorithm that can determine if an individual has SARS-CoV-2 infections, the virus that causes COVID-19—with a high sensitivity and specificity—from the data collected by wearable devices.