Cancer prognosis
A cancer and patient technology, applied in the field of predicting the treatment response of cancer patients to anticancer therapy, can solve the problem of increasing clinical decision-making
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0229] Exemplary methods of modeling and scoring will now be described. It will be appreciated that alternative statistical techniques for analyzing the contribution of parameters to mortality risk may be utilized to form the model. Examples include all of parameters (i) to (xxvi) or (i) to (xxix), but as noted above, the method can be adapted to select only these parameters and / or to include parameters other than (i) to (xxvi) respectively Or parameters other than (i) to (xxix).
[0230] Two examples of models and scores are now described as Roche Prognostic Scale (RoPro) 1 and 2. RoPro1 is the weighted sum of the 26 parameters (i) to (xxvi) of the difference between the patient data and the mean value of the corresponding reference parameter, while RoPro 2 is the weighted sum of the 29 parameters (i) to (xxvi) of the difference between the patient data and the mean value of the corresponding reference parameter xxix). A higher RoPro indicates a higher risk of death and a ...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 
PatSnap Eureka turns technology decisions into work you can execute. Powered by our Innovation Knowledge Graph, it runs expert workflows across engineering, life sciences, materials and intellectual property. Get your review-ready output in minutes.
