Metastases cause ~90% of cancer mortality and prognosis is currently based on histopathology, disease-statistics, or genetics. Weihs lab developed a rapid (~2hr) early-prognostic of the clinical metastatic risk, adding predictive machine learning models, to support disease management.
Two-class and 5-class models successfully separated invasive/non-invasive or varying invasiveness-level samples with high sensitivity and specificity.
