Kicking-off saliva based Parkinson’s disease detection study using E-TRF and biosensors – Interview with Professor Valtteri Kaasinen from University of Turku
Interview Riikka Saari Interview Riikka Saari

Kicking-off saliva based Parkinson’s disease detection study using E-TRF and biosensors – Interview with Professor Valtteri Kaasinen from University of Turku

Aqsens Health is excited to take part in a cross-disciplinary Parkinson’s disease study in collaboration with Professor Valtteri Kaasinen from The Department of Clinical Neurosciences at the University of Turku. The aim of the study is to improve Parkinson’s disease’s diagnostic accuracy with Aqsens’ E-TRF and biosensor technology and smell detection dogs. We had the pleasure to interview Professor Kaasinen about Parkinson’s disease (PD), its diagnostics, and how this study could help improve diagnostics in the future.

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If you set your mind to it, you can make it happen – Women and Girls in Science and Technology 2023
Blog Riikka Saari Blog Riikka Saari

If you set your mind to it, you can make it happen – Women and Girls in Science and Technology 2023

Every year the 11th of February is dedicated to the UN Day for Women and Girls in Science and Technology that recognizes the role of women in science, and encourages girls to pursue studies and careers in traditionally male-dominated fields. To celebrate the date, we had the opportunity to ask our friends and colleagues Elizabeth and Jasmine who work at the Noguchi Memorial Institute for Medical Research in Ghana about her studies and work in medical research.

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How E-TRF and biosensors can help reveal new disease biomarkers
Blog Riikka Saari Blog Riikka Saari

How E-TRF and biosensors can help reveal new disease biomarkers

Accurate detection of severe diseases typically requires more than just one biomarker and their discovery is exceptionally troublesome. Aqsens Health aims to speed up the process. Our E-TRF method, modulators and measurement protocols are able to detect groups of biomarkers in a single measurement from biological samples…

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