Kaiku Health, together with Oulu University Hospital, will present research at the ESMO Immuno-Oncology Congress 2020, which takes place as a virtual conference this year. The research investigates the use of Machine Learning to predict the objective response rate in immune checkpoint inhibitor treated patients when patient-reported and clinical data data are used as input for the Machine Learning based model.
“Predicting objective response rate (ORR) in immune checkpoint inhibitor (ICI) therapies with machine learning (ML) by combining clinical and patient-reported data”
First author: Sanna Iivanainen (Oulu University Hospital)
Poster #: 38P
The poster will be presented at the ESMO Immuno-Oncology Virtual Congress 2020 from December 9th to December 12th on the Congress platform. The congress is one of the leading global events in the field of oncology, organised by the European Society for Medical Oncology. Annually significant and some of the most promising scientific research in the field of oncology is presented at the congress.