at POSTECH is gaining attention as they have improved the accuracy of predicting patient response to immune checkpoint inhibitors (ICIs) by using network-based machine learning. The research team ...

Get Instant Summarized Text (Gist) A machine learning tool, InflaMix, has been developed to predict the response of non-Hodgkin lymphoma patients to CAR T cell therapy by assessing inflammation ...

With the help of machine learning, a type of artificial intelligence that uses algorithms to learn from sets of information and draw conclusions from patterns found in that data, the model was ...

A machine-learning model trained on the data was then able ... A 2011 study using functional magnetic resonance imaging, which tracks blood flow in the brain, identified 90 percent of commercial ...

More information: JungHo Kong et al, Network-based machine learning approach to predict immunotherapy response in cancer patients, Nature Communications (2022). DOI: 10.1038/s41467-022-31535-6 ...