Continuous lactate measurement and prevention of fetal hypoxia during labour and delivery
Current fetal monitoring methods have weaknesses and the researchers in this new programme aim to improve them to reduce…
Research
All projects belong to one of MedTechLabs four research programmes or research areas.
Programme Optical 3D microscopy for more effective diagnosis of kidney diseases
Automatic image analysis of morphological changes will provide a faster, safer and quantitatively improved analysis of the development of…
Programme Spectral CT-imaging and Endovascular Techniques
The purpose of the programme is to use technology to diagnose and treat cardiovascular diseases, including stroke, and cancer.
Project Endovascular remote controlled drug capsules
Research Leader Niclas Roxhed, KTH Royal Institute of Technology
Project Molecular imaging and radiochemistry
Research Leader Staffan Holmin and Jeroen Goos, Karolinska Institutet
Project Tissue access with endovascular technique
Research Leader Staffan Holmin, Karolinska Institutet
Project A photon-tracing detector with ultra-high resolution
Research Leader Mats Danielsson, KTH Royal Institute of Technology
Project Image Reconstruction Methods for Photon Counting Computer Tomography
Research Leader Mats Persson, KTH Royal Institute of Technology
Project Improved diagnosis of Covid-19 with computed tomography and AI image analysis
Research leader Mats Persson, KTH
Programme Breast Cancer Imaging powered by Artificial Intelligence Diagnostics
The programme uses AI and machine learning to radically increase the accuracy of breast cancer imaging diagnostics.