Publications
Publications and projects according to DDC 616: Internal medicine and diseases
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Probst-Hensch, N.; Imboden, M.; Jeong, A.; Keidel, D.; Vermes, T.; Witzig, M.; Cullati, S.; Tancredi, S.; Noor, N.; Rodondi, P.-Y.; Harju, E.; Michel, G.; Frank, I.; Kahlert, C.; Cusini, A.; Rodondi, N.; Chocano-Bedoya, P. O.; Bardoczi, J. B.; Stuber, M. J.; Vollrath, F.; Fehr, J.; Frei, A.; Kaufmann, M.; Geigges, M.; von Wyl, V.; Puhan, M. A.; Albanese, E.; Crivelli, L.; Lovison, G. F.,
2024.
Comprehensive Psychiatry.
130(152457).
Available from: https://doi.org/10.1016/j.comppsych.2024.152457
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Scheermesser, Mandy; Baumgartner, Daniel; Nast, Irina; Bansi, Jens; Kool, Jan; Bischof, Patrick; Bauer, Christoph,
2024.
Scientific Reports.
14(6598).
Available from: https://doi.org/10.1038/s41598-024-55692-4
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Moncrieff, Joanna; Cooper, Ruth E.; Stockmann, Tom; Amendola, Simone; Hengartner, Michael Pascal; Horowitz, Mark A.,
2024.
Difficult lives explain depression better than broken brains.
Molecular Psychiatry.
Available from: https://doi.org/10.1038/s41380-024-02462-3
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Amendola, Simone; Plöderl, Martin; Hengartner, Michael Pascal,
2024.
Suicide rates and prescription of antidepressants.
Crisis.
Available from: https://doi.org/10.1027/0227-5910/a000941
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Bachmann-Windler, Antje; Heine, Michelle; Ernst, Jutta; Koch, Astrid,
2024.
Pflege.
37(1), pp. 49-55.
Available from: https://doi.org/10.1024/1012-5302/a000941
Projects
Projects according to DDC 616: Internal medicine and diseases
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Transforming clinical assessments: Explicitly articulating implicit clinical decision-making to train AI
We are currently creating an AI algorithm using modern computer vision methods to assess movement quality in people after stroke. Our project, as many others, depends on therapist’s manual movement quality rating to create the ground truth. While therapists are trained to reliably assess movement quality in person ...
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Brain Research International Data Governance & Exchange
The goal of this project is to develop an International Data Governance Framework (IDGF) that can advance responsible international brain research and innovation. This will start with the identification of the technical, legal, ethical and organizational challenges to IDGF and the development of pathways to address ...
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Enabling Scientific Diplomacy: Preparation of the GESDA Neurotechnology Compass
The Geneva Science and Diplomacy Anticipator (GESDA) is developing the “Neurotechnology Compass” (the NeuroTech Compass – NTC). The NTC is aimed at equipping decision-makers with the necessary navigation tools to best support research in neuroscience and neurotechnology and their applications in society. By ...
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Artificial Intelligence for Myoelectrically Controlled Cooperative Arm Prostheses: A proof-of-concept Study
This proof-of-concept study will be embedded into our line of research in this field. Our overall aim is to render the control of a myoelectrical forearm prosthesis (MCP) intuitive. Currently, an MCP typically has two integrated electrodes, through which the user provides input to the prosthesis. With these two ...
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Stroke DynamiX
Stroke DynamiX explores data-driven stroke management using machine-learning techniques in a consortium of statistics researchers, translational enablers, and clinical partners. We implement statistical tools to dynamically model stroke epidemiologically and predict real-time sepsis onset in the clinic. ...