An algorithm can help healthcare professionals recognize which patients have a highly aggressive form of basal cell carcinoma (BCC) of the face. These are the findings of a study conducted at the ...

An algorithm can help healthcare professionals recognize which patients have a highly aggressive form of basal cell carcinoma (BCC) of the face. These are the findings of a study conducted at the ...

The first computer algorithm capable of identifying which tumor cells are driving aggressive cancer growth has been developed by Cancer Research UK-funded scientists from UCL and The Francis Crick ...

A novel algorithm based on patient-reported outcome questionnaires stratified patients by disease complexity and effectively identified those at a higher risk of having an acute care visit. Gauging ...

shinyOPTIK, a User-Friendly R Shiny Application for Visualizing Cancer Risk Factors and Mortality Across the University of Kansas Cancer Center Catchment Area We trained and validated two-phase ML ...

The preoperative risk assessment algorithm can identify ovarian lesions with a strong likelihood of being non-cancerous and suitable for ovary-preserving surgery. The use of a consensus-based ...