Differences
This shows you the differences between two versions of the page.
Both sides previous revision Previous revision Next revision | Previous revision | ||
news [2016/10/21 10:01] – elviral | news [2023/05/30 13:10] (current) – elviral | ||
---|---|---|---|
Line 1: | Line 1: | ||
- | ====== | + | ====== |
- | | + | 24 May 2023 - Published online: Gap junctions desynchronize a neural circuit to stabilize insect flight - Hürkey S*, **Niemeyer N*, Schleimer J-H**, Ryglewski S, **Schreiber S#**, Duch C# (2023): Gap junctions desynchronize a neural circuit to stabilize insect flight. Nature https:// |
+ | |||
+ | 2023-02-12 | ||
+ | X-Research Group - Digital twins for the treatment of hypertension | ||
+ | < | ||
+ | **M. König** receives funding of the Berlin University Alliance and the DFG | ||
+ | for the X-Student Research Group: **Digital twins for the treatment of | ||
+ | hypertension** | ||
+ | Understanding a drugs pharmacokinetics - how it is absorbed, | ||
+ | distributed, | ||
+ | pharmacodynamics - how it affects the body - is a key challenge in | ||
+ | treating people. Angiotensin converting enzyme (ACE) inhibitors and | ||
+ | diuretics are two classes of drugs used to treat high blood pressure. | ||
+ | Both are among the most commonly prescribed drugs due to the high | ||
+ | prevalence of hypertension in an ageing society. | ||
+ | In this X-student research group physiologically based pharmacokinetic | ||
+ | models of the diuretic hydrochlorothiazide and the ACE inhibitor | ||
+ | lisinopril will be developed. With the X-Student Research Groups | ||
+ | < | ||
+ | the Berlin University Alliance supports research teams consisting of | ||
+ | young researchers and students. The goal is to involve students in | ||
+ | current research projects of the alliance partners and to enable them to | ||
+ | participate in (cutting-edge) research already during their studies. | ||
+ | Funded under the Excellence Strategy of the Federal Government and the | ||
+ | Länder by the Berlin University Alliance | ||
+ | < | ||
+ | |||
+ | 2023-02-01 | ||
+ | ATLAS - AI and Simulation for Tumor Liver ASsessment | ||
+ | < | ||
+ | *The BMBF is funding the joint project ATLAS in the **" | ||
+ | Sciences - AI Methods for Systems Medicine" | ||
+ | Liver cancer is the second most common cause of cancer-related death. | ||
+ | Diagnosis and treatment are time-critical and require highly | ||
+ | patient-specific diagnostic and treatment pathways. Medical | ||
+ | decision-making is based on a variety of interdependent factors related | ||
+ | to different medical disciplines, | ||
+ | guidelines. Taking into account all decision factors in combination with | ||
+ | the possible therapeutic approaches is a major challenge for physicians | ||
+ | and often cannot be solved optimally even in an interdisciplinary tumor | ||
+ | board. In this project, we are developing ATLAS, a decision support tool | ||
+ | that will significantly assist clinicians in meeting this challenge. | ||
+ | Based on AI methods, ATLAS processes all relevant patient data from | ||
+ | databases, systems medicine and continuum biomechanical in silico | ||
+ | prognosis models as well as individual patient data. The tool is being | ||
+ | developed in a co-design approach by experts in surgical oncology, | ||
+ | mathematical modeling and machine learning. The selected technologies | ||
+ | will integrate automated understanding of a highly complex patient | ||
+ | situation through simulation of liver functions with expert knowledge | ||
+ | and ontology-driven learning with knowledge graphs from retrospective | ||
+ | liver tumor cases. ATLAS will be based on a detailed historical data | ||
+ | cohort of more than 6,000 patients with liver tumors and will be | ||
+ | evaluated on case studies at the University Hospital of Jena. The | ||
+ | integration of medical expert knowledge, mathematical modeling and | ||
+ | artificial intelligence represents a highly original and promising | ||
+ | approach for high-quality diagnosis and treatment of liver tumors, | ||
+ | resulting in patient-specific improvement of prognosis. The scientific | ||
+ | knowledge gained from these projects will provide opportunities for | ||
+ | transfer to malignancies in other organs, such as the lung, kidney or | ||
+ | brain. The development of tools and demonstrators will provide | ||
+ | sustainable exploitation pathways for future commercial applications. | ||
+ | https:// | ||
+ | |||
+ | The 3-year research project **" | ||
+ | model of parahippocampal phase precession" | ||
+ | Research Foundation (Deutsche Forschungsgemeinschaft, | ||
+ | Priority Program 1665 (Schwerpunktprogramm) " | ||
+ | manipulating neuronal networks in the mammalian brain – from | ||
+ | correlative to causal analysis" | ||
+ | 2016. Collaborators are **Prof. Michael Brecht** (Humboldt-Universität zu | ||
+ | Berlin), **Prof. Dietmar Schmitz** (Charité), and **Prof. Richard Kempter** | ||
+ | (Humboldt-Universität zu Berlin). | ||
+ | Further details can be found at | ||
+ | http:// | ||
+ | |||
+ | The 3-year research project **" | ||
+ | is funded by the German Federal Ministry of Education and Research | ||
+ | (BMBF) and the National Science Foundation (NSF). This " | ||
+ | German Collaboration in Computational Neuroscience" | ||
+ | 2016. Collaborators are **Prof. Catherine E. Carr** (University of | ||
+ | Maryland), **Prof. Christine Köppl** (Universität Oldenburg), and | ||
+ | **Prof. Richard Kempter** (Humboldt-Universität zu Berlin). | ||
+ | Further details can be found at | ||
+ | https:// | ||
+ | |||
+ | **Prof Werner Ebeling** Honorary Colloquium | ||
Selforganization" | Selforganization" | ||
21st of October, 2016 at 2pm in the Institute of Theoretical Biology, | 21st of October, 2016 at 2pm in the Institute of Theoretical Biology, | ||
house 04 of “Campus Nord” of Humboldt University at Berlin | house 04 of “Campus Nord” of Humboldt University at Berlin | ||