Ontology highlight
ABSTRACT:
SUBMITTER: Ubels J
PROVIDER: S-EPMC6063966 | biostudies-literature | 2018 Jul
REPOSITORIES: biostudies-literature
Ubels Joske J Sonneveld Pieter P van Beers Erik H EH Broijl Annemiek A van Vliet Martin H MH de Ridder Jeroen J
Nature communications 20180727 1
Many cancer treatments are associated with serious side effects, while they often only benefit a subset of the patients. Therefore, there is an urgent clinical need for tools that can aid in selecting the right treatment at diagnosis. Here we introduce simulated treatment learning (STL), which enables prediction of a patient's treatment benefit. STL uses the idea that patients who received different treatments, but have similar genetic tumor profiles, can be used to model their response to the a ...[more]