If you work in science, chances are you spend upwards of 50% of your time analyzing data in one form or another.However, it's easy to get lost when it comes to the question of what techniques to apply ...

Network-based machine learning in colorectal and bladder organoid models predicts anti-cancer drug efficacy in patients. Nature Communications , 2020; 11 (1) DOI: 10.1038/s41467-020-19313-8 Cite ...

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 ...

Presently, the standard methods used to assess PCa risk are multiparametric magnetic resonance imaging (mpMRI), which detects prostate lesions, and the Prostate Imaging Reporting and Data System ...

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 : ...