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© Lucius Fekonja & Image Guidance Lab, Charité – Universitätsmedizin Berlin

Adaptive Digital Twin

Cluster of Excellence »Matters of Activity« | Lucius Fekonja

Adaptive holographic models of the human brain – Meet the Scientist at the Humboldt Lab

The »Adaptive Digital Twin« project of the »Matters of Activity« Cluster of Excellence at Humboldt-Universität zu Berlin aims at embodying the central nervous system of healthy subjects and patients in the digital space. Researchers from different disciplines study and develop co-adaptive models that enable simulation, statistical analysis, and visual inspection of the brain using individually acquired functional and structural data. The combination of these different data sources and applications enables the assessment and modeling of anatomical changes, for example induced by tumor growth or surgical intervention, and the prediction of these effects on the structural anatomy, network, and functionality of the individual central nervous system. The different data sources for these models are based on MRI data, neuropsychological testing, and non-invasive brain stimulation.

The presentation of the project will take place at the workstation that »Matters of Activity« contributed together with other research objects to the opening exhibition »After Nature« at the Humboldt Lab in the Humboldt Forum. Lucius Fekonja, an expert in scientific visualization, will explain how he and his colleagues develop subject-specific analytical methods for preoperative planning and assessment, which are tested and refined by the clinicians at the Department of Neurosurgery at Charité – Universitätsmedizin Berlin.

PUBLIC GUIDED TOUR ON-SITE AT THE Humboldt FORUM. PLEASE REGISTER.

This is an in-person event. Registration for the guided tour takes place via the Ticket Shop of the Humboldt Forum and is activated about 2 weeks before the date. There are 15 tickets available per time slot.

Lucius Fekonja

HUMBOLDT-UNIVERSITÄT ZU BERLIN

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About the Venue
Humboldt Lab
Schlossplatz
Berlin, Berlin 10178 Germany

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