Publications and projects according to DDC
Publications
Publications and projects according to DDC 616.8: Neurology, diseases of nervous system
-
Ulrich, Sandra; Gantenbein, Andreas R.; Zuber, Viktor; von Wyl, Agnes; Kowatsch, Tobias; Künzli, Hansjörg,
2024.
Journal of Medical Internet Research.
26, pp. e50132.
Available from: https://doi.org/10.2196/50132
-
Pfister, Andreas,
2024.
Suizidprävention für LGBTQ+-Jugendliche : Notwendigkeit, Modell und Zugänge.
Prävention und Gesundheitsförderung.
Available from: https://doi.org/10.1007/s11553-023-01096-7
-
Kamp, Caroline Barkholt; Petersen, Johanne Juul; Faltermeier, Pascal; Juul, Sophie; Siddiqui, Faiza; Barbateskovic, Marija; Kristensen, Andreas Torp; Moncrieff, Joanna; Horowitz, Mark Abie; Hengartner, Michael Pascal; Kirsch, Irving; Gluud, Christian; Jakobsen, Janus Christian,
2024.
BMJ Mental Health.
27(1), pp. e300730.
Available from: https://doi.org/10.1136/bmjment-2023-300730
-
Kim, Yuwon; Park, Jinseok; Choi, Hojin; Loeser, Martin; Ryu, Hokyoung; Seo, Kyoungwon,
2024.
In:
CHI EA '24 : Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems.
Conference on Human Factors in Computing Systems (CHI), Honolulu, USA, 11-16 May 2024.
Association for Computing Machinery.
Available from: https://doi.org/10.1145/3613905.3650731
-
Kostic, Milutin; Plöderl, Martin; Hengartner, Michael; Buzejic, Jelena,
2024.
Suicidality emerging from rapid Venlafaxine discontinuation.
The Journal of Clinical Psychiatry.
85(1), pp. 23cr14930.
Available from: https://doi.org/10.4088/JCP.23cr14930
Projects
Projects according to DDC 616.8: Neurology, diseases of nervous system
-
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 ...
-
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 ...
-
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 ...
-
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. ...
-
Modeling of multicentric and dynamic stroke health data
The aim of the project is the further development of probabilistic and dynamic modeling of diseases in the form of Bayesian networks in the field of digital health as a central strategic pillar of the newly formed specialist group "Medical Image Analysis and Data Modeling" of the "Computational Health" focus. To ...