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We work hard with cancer clinics, research institutes and life sciences partners to provide each cancer patient with more personalised care. Read more below.

Latest Updates

Kaiku Health expands collaboration with Roche in digital patient monitoring and management

Kaiku Health will co-develop novel digital patient monitoring and management modules in oncology, in a feasibility program conducted together with Roche. Cancer patients can experience a variety of disease or treatment-related symptoms, which need to be detected and managed in a timely manner. Digital Patient Monitoring and Management (DPMM) solutions can enable this and improve...

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Kaiku Health extends its cooperation with Hirslanden Radiotherapy to digital symptom management of cancer patients undergoing oncological rehabilitation

Hirslanden Radiotherapy in Switzerland has implemented Kaiku Health as a digital patient management solution in the Oncological Rehabilitation of cancer patients in Aargau (ORA) program. The first pilot group of patients started to use Kaiku Health as a part of their rehabilitation on June 1st 2020. The rehabilitation project aims to restore patients’ physical, social...

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Kaiku Health’s next chapter with Elekta

The world has changed because of the COVID-19. Our vision at Kaiku Health has not. Actually, our vision is more palpable than perhaps ever before. We are here to provide personalised digital health intervention for every cancer patient. Digital interventions can improve outcomes of cancer care by optimising symptom management, improving care team workflows and...

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Kaiku Health partners with Elekta

Elekta (EKTA-B.ST) announced today that it will further develop its focus on cancer care providers and their patients through its acquisition of Kaiku Health. The Finnish company is best known for its app that monitors patient-reported outcomes, providing intelligent symptom tracking and management for healthcare providers in routine oncology care and studies. The Kaiku Health...

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Research published at ASCO 2020 shows that machine learning models trained with patient-reported data can predict onset and presence of immune-related adverse events

The cooperative research between Kaiku Health and Oulu University Hospital aimed to investigate whether patient-reported symptom data (Patient-Reported Outcomes) could be used as an input for machine learning-based prediction models for early detection of immune-related adverse events (irAEs). The research was published at ASCO Annual Meeting 2020 Online Publication on the 13th of May, 2020....

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Hilkka Rissanen
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