Kaiku Health has taken its first steps to predict treatment response of cancer patients for immune checkpoint inhibitor therapies with machine learning Industry insight – 17.12.2020
Predicting patient-reported symptoms for cancer patients undergoing immune checkpoint inhibitor (ICI) therapies using different measurement system than in prediction model training Industry insight – 07.12.2020
Increasing the understanding behind treatment response and immune-related adverse events in cancer patients treated with immune checkpoint inhibitor therapies Industry insight – 29.09.2020
Machine learning may help to detect the onset of immune-related adverse events in cancer patients Industry insight – 22.09.2020
Kaiku Health expands collaboration with Roche in digital patient monitoring and management Industry insight – 08.07.2020
Flying to Mars – digital health interventions for personalised and value-based healthcare Industry insight – 14.03.2019
Kaiku helps clinical staff provide better care for patients at Hirslanden Industry insight – 06.08.2018
How to improve patient experience? Three fundamentals for hospital decision-makers Industry insight – 04.12.2017
ASCO, 2017: Web-based symptom reporting extends the lives of cancer patients Industry insight – 09.06.2017
How Patient-Reported Outcome Measures help improve healthcare – 5 concrete examples from Kaiku Health users Industry insight – 17.03.2017
Improved methods for prostate cancer diagnostics and new treatment options – Remarks from the Finnish Urology Meeting Industry insight – 02.03.2017
Päivi Lähteenmäki – Many of the childhood cancer patients benefit from long-term follow-up Industry insight – 15.02.2017
How to minimize the risk for isolation of older adults through digitalization? Industry insight – 12.12.2016
ICHOM’s fourth conference predicts the upcoming change towards outcome-driven healthcare Industry insight – 18.05.2016