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--- news [2016/11/02 09:55] – elviral
+++ news [2023/05/30 13:10] (current) – elviral
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+====== News ======
+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://doi.org/10.1038/s41586-023-06099-0 - *Equal contribution. #Shared corresponding authors -
+-02-12
+X-Research Group - Digital twins for the treatment of hypertension
+<https://livermetabolism.com/teaching/>
+**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, metabolised and excreted by the body - and its
+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
+<https://www.berlin-university-alliance.de/commitments/teaching-learning/sturop/research-groups/index.html>,
+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
+<https://www.berlin-university-alliance.de/>.
+-02-01
+ATLAS - AI and Simulation for Tumor Liver ASsessment
+<https://www.simtech.uni-stuttgart.de/press/SimTech-collaborates-across-disciplines-in-joint-ATLAS-project/>
+*The BMBF is funding the joint project ATLAS in the **"Computational Life
+Sciences - AI Methods for Systems Medicine"** of **M. König.**
+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, past experience and clinical
+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://www.simtech.uni-stuttgart.de/press/SimTech-collaborates-across-disciplines-in-joint-ATLAS-project/
 The 3-year research project **"Delineating and testing a microcircuit
 model of parahippocampal phase precession"** is funded by the German