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Jiri Obels

Orikami

Data Scientist, Orikami
After finalizing his master medical engineering in 2016, Jiri Obels worked as research assistant at the Radboud umc.
During his master and work as research assistant he mostly worked on medical data developing his skills as data scientist,
including his contribution to a publication in the field of deep learning [Ghafoorian et all, 2017, “Deep Multi-scale Location-aware 3D Convolutional Neural Networks
for Automated Detection of Lacunes of Presumed Vascular Origin”; Elsevier: NeuroImage] and the automation of mri for prostate cancer diagnosis .
After the world of academics, Jiri started working as data scientist and in juli 2017 started working for Orikami.

Keywords: Medical engineer, Data science, Python, data visualizations, Deep learning, personalized medicine, Medical Image processing

About Orikami
Global healthcare systems are challenged to deal with an increasing number of chronic patients. There’s a need to enhance therapy effectiveness and unburden the system for costs. Furthermore, patients nowadays expect to be involved in disease management decisions.
At Orikami in collaboration with hospitals and care teams, we identify critical disease markers, from which eHealth or mHealth solutions are co-created with patients and caregivers to improve disease management.
In multiple sclerosis, Orikami’s venture MS sherpa empowers patients to monitor their disease. Neurologists can use the trend information per patient to improve disease management.
In malaria management, Orikami's venture Momala enables malaria diagnosis in rural areas, which is fielding in 6 Kenyan clinics.

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