Horizon 2020 Health

SC1-DTH-01-2019: Big data and Artificial Intelligence for monitoring health status and quality of life after the cancer treatment

Deadline: 24 april 2019

Currently available methods and strategies for diagnosis and treatment of cancer help clinicians continuously improve quality of care and prevent cancer deaths in the population. However, often rather aggressive treatment, psychological stress (anxiety and depression) can cause physical and psychological problems that may cause long-term after-cure consequences such as similar or other types of cancer, other types of (chronic) diseases and affect the quality of life of a patient. Therefore, the importance of addressing and, if possible, preventing long-term effects of cancer treatment is growing.

Proposals should focus and deliver on how to better acquire, manage, share, model, process and exploit big data to effectively monitor health status of individual patients, provide overall actionable insights at the point of care and improve quality of life after the cancer treatment.

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With support from Horizon 2020 Health you will be able to conduct international research projects in support of EU policies for health. Support will be given to projects aimed at: Health promotion and prevention; diagnosis improvement; innovative treatments and technologies; active and healthy aging; citizen-centered care; and improving health information etc.

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