Media library of the MICHAEL FOUNDATIONL
In the MICHAEL FOUNDATION media library, we collect the videos posted on various parts of our website or on our social media channels. This provides you with a clear platform for accessing these media. We will also link to films or videos that we consider important and worth watching.
Through our audio library, we are gradually expanding our offerings to include audio contributions and podcasts.
[Unfortunately, most of the videos and their accompanying texts – but not all – are in German.]
Michael Prize 2025 Winners
The MICHAEL PRIZE 2025 winners are
in the category NEUROLOGY, NEUROPEDIATRICS, NEUROSURGERY
Prof. Dr. Maxime Baud, Bern for his research in the field of chronobiology, the study of cycles influencing the occurrence of epileptic seizures and interictal EEG discharges.
One of the most debilitating effect of epileptic seizures has always been their unpredictability. Dr. Baud’s research has reduced the level of unpredictability of seizures, thus making a fundamental contribution to our understanding of epilepsy.
In the category IMAGING
Dr. Sophie Adler and Dr. Konrad Wagstyl, both London for their outstanding contributions to advancing epilepsy imaging through artificial intelligence.
Together, they co-founded the Multicentre Epilepsy Lesion Detection (MELD) project, where they developed the world’s largest MRI dataset for focal epilepsy. Their algorithms, now integrated into over 65 MRI scanners globally, have significantly improved diagnostic accuracy.
In addition to their research, they have made invaluable contributions to global initiatives, including ILAE and EpiCARE, advancing international collaboration in epilepsy care.
Read their laudations on our website:
In the category IMAGING
Dr. Sophie Adler and Dr. Konrad Wagstyl, both London for their outstanding contributions to advancing epilepsy imaging through artificial intelligence.
Together, they co-founded the Multicentre Epilepsy Lesion Detection (MELD) project, where they developed the world’s largest MRI dataset for focal epilepsy. Their algorithms, now integrated into over 65 MRI scanners globally, have significantly improved diagnostic accuracy.
In addition to their research, they have made invaluable contributions to global initiatives, including ILAE and EpiCARE, advancing international collaboration in epilepsy care.
Read their laudations on our website:
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