Deep learning for automated image analysis in clinical drug development trials

Reference number
Funding from Vinnova SEK 488 857
Project duration October 2019 - November 2020
Status Ongoing
Venture AI - competence, capacity and capability
Call Start your AI journey!

Purpose and goal

The unmet need for more precise and tailored methods for decision-making in drug development is big. Antaros supports, using advanced quantitative image analysis based on e.g. magnetic resonance imaging (MRI), drug developers in clinical development phase to understand how their drug works. With the Vinnova´s grant "Start your AI journey", Antaros Medical wants to streamline and improve certain image analysis methods for studies of non-alcoholic fatty liver disease (NAFLD/NASH). The end goal is a more automated image analysis of MR images on liver.

Expected results and effects

By implementing the project, the already established image analysis methods become more efficient and less operator dependent, which leads to an even higher precision. This is key for biomarkers guiding drug development decisions. The acquired knowledge is also expected to be useful for most future studies of kidneys, heart and brain.

Planned approach and implementation

We start our AI journey by, with expertise from Uppsala University, setting up and training convolutional neural networks (CNNs) to perform these segmentations. The networks would be trained using a large number of existing segmentations and are expected to generate results that only need minor corrections during quality control.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 23 June 2020

Reference number 2019-03335

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