The new model can detect cancer based on patient information, using a machine learning method called a random-forest classifier. In this method, researchers fed information on over 600 high-risk ...

The system is structured around a client-server architecture designed to provide scalability, remote accessibility, and ...

Machine learning using real-time symptom reports can accurately detect lymphedema, a distressing side effect of breast cancer treatment that is more easily treated when identified early, finds a ...

Deep learning, a subset of machine learning, enabled Sun's team to create software that can pair with OCT systems to deliver polarization sensitivity. Related Stories Breast cancer mortality rates ...

Study: Automatic Skin Cancer Detection Using Clinical Images: A Comprehensive Review.Image Credit: PopTika/Shutterstock.com. Background . Over recent decades, the incidence of skin cancer has ...

A Michigan Tech-developed machine learning model uses probability to more accurately classify breast cancer shown in histopathology images and evaluate the uncertainty of its predictions. Breast ...

Network-based machine learning approach to predict immunotherapy response in cancer patients. Nature Communications , 2022; 13 (1) DOI: 10.1038/s41467-022-31535-6 Cite This Page : ...