Project List

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            "id": 5155,
            "title": {
                "de": "Einfluss von Myelin auf die diamagnetische Suszeptibilitzät im gesunden Gehirn und bei Multipler Sklerose",
                "en": "Contribution of Myelin to the Diamagnetic Susceptibility of Normal and Multiple Sclerosis Brain"
            },
            "short": null,
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
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            "begin_effective": "2017-06-01T02:00:00+02:00",
            "end_planned": "2020-05-31T02:00:00+02:00",
            "end_effective": "2019-10-15T02:00:00+02:00",
            "assignment": "2017-12-07T11:58:22+01:00",
            "program": 69,
            "subprogram": null,
            "organization": 14051,
            "category": 10,
            "type": 10,
            "partner_function": 4,
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            "status": 2,
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                9
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            "funder_projectcode": "MEFO-52",
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        },
        {
            "id": 4847,
            "title": {
                "de": "Hochauflösende In-silico Modelle der Gesamten Herzfunktion",
                "en": "High-resolution In Silico Models of Total Heart Function"
            },
            "short": "InsiliCardio",
            "url": null,
            "abstract": {
                "de": "Fortschritte bei der Entwicklung von tomographischen Verfahren ermöglichen in beispielloser Weise die Anatomie des Herzens abzubilden. Allerdings hatten diese Technologien bisher einen relativ geringen Einfluss auf die Entwicklung von medizinischen Implantaten oder die Verbesserung von klinischen Behandlungsmethoden. \r\nDer Einsatz von bildgebenden Verfahren zur Extraktion von wichtigen funktionellen Informationen und der Kopplung von Bildinformationen mit physiologischen Aspekten, die nicht durch Bildgebung allein verstanden werden können, stellt eine große Herausforderung dar. In silico Modelle, also computerunterstützte Simulationen, bergen enormes Potenzial zur Bewältigung dieser Herausforderungen und können zu einem besseren Verständnis der Herzfunktion, sei es im gesunden oder auch im erkrankten Zustand, führen. Ein entscheidender Vorteil ist hierbei die Möglichkeit diagnostische und therapeutische Methoden zu optimieren ohne dabei Patienten zusätzlichen Risiken oder Schmerzen auszusetzen. In silico Experimente können somit bei der Untersuchung von klinisch relevanten Problemen, wie zum Beispiel Herzklappenchirurgie, Ballon-Angioplastie oder Stenting, äußerst hilfreich sein. \r\nDie Herzfunktion ergibt sich aus der Interaktion verschiedener Physiken, unter anderem der Elektrophysiologie, der Strukturmechanik und der Strömungsmechanik. Während die beteiligten Physiken klar bidirektional wechselwirken, werden sie in praktisch allen Studien isoliert betrachtet. Dies ist zu einem guten Teil auf die Komplexität von Multiphysik-Modellen und den Schwierigkeiten, die bei der Entwicklung von modernen numerischen Methoden und deren effizienten Implementierung auf modernen Rechnerarchitekturen auftauchen, zurückzuführen. Die Bewältigung dieser Herausforderungen ist das zentrale Themas dieses Projektes und die Durchführung setzt auf die Kombination der Expertisen der Antragsteller: Christoph Augustin und Gernot Plank in der Modellierung der Elektrophysiologie und der Strukturmechanik und Shawn Shadden in der Computermodellierung des Blutflusses. \r\nDieses ambitionierte Unterfangen geht weit über den aktuellen Stand der Technik hinaus. Kombinierte Modelle von Herz und Blutgefäßen ermöglichen die Berechnung von natürlichen Randbedingungen für die Simulation des Blutflusses und das Studium von Rückkopplungsmechanismen die die Pumpleistung des Herzens beeinflussen können. Im Endeffekt wird dieses Modell eines der modernsten Werkzeuge der Grundlagenforschung sein, das einen mechanistischen Einblick in die Herzpumpfunktion gewährt. Von wesentlicher Bedeutung ist in diesem Kontext auch die Überprüfung, Parametrisierung und Validierung dieses Modells mit klinischen Datensätzen, die von klinischen Partnern zur Verfügung gestellt werden. \r\nDas Ziel dieser Forschung ist ein innovatives Multiphysik-Computermodell der gesamten Herzfunktion um eine biophysikalisch detaillierte und bidirektional gekoppelte Erforschung der elektromechanischen Funktion des Herzens im gesunden wie im kranken Zustand zu ermöglichen.",
                "en": "Advances in medical imaging have enabled unprecedented ability to image cardiac anatomy and function. So far these technologies have had relatively modest clinical impact as the analysis of such rich multi-modal datasets has proven challenging. In silico models hold vast potential to better harness such datasets by enabling their integration into quantitative frameworks that can aid in gaining better mechanistic insight into cardiac function in health and disease, and thus paving the way towards optimal therapeutic strategies.\r\nOur objective is to develop the most advanced biophysically detailed in-silico model of total electro-mechano-fluidic function of the heart. This model will be parametrized, verified and used to study cause-effect relationships between flow and pressure and their impact upon pumping performance. A novel set of features such as combined models of both heart and attached outflow vessels and the computational efficiency will provide a unique platform for translational research.\r\nThis ambitious endeavor is feasible only by combining the expertise of the applicant in modeling soft tissue mechanics and his supervisors in modeling electrophysiology (Gernot Plank, MUG) and blood flow (Shawn Shadden, UC Berkeley). Clinical input and datasets for model parametrization and validation are provided by Titus Kühne (DHZ Berlin) and by clinical collaborators of Prof. Shadden at UCSF. During the return-phase, the applicant will use the infrastructure of Prof. Plank’s lab and the large network of academic and industrial collaborations as an incubator for building up his own research group in computational hemodynamics. This is ideal in many regards, as the expertise of the applicant's group will be entirely orthogonal to the expertise in Prof. Plank's lab, thus promoting a fast pathway towards full indepence, and core expertise necessary for further developing and maintaining a highly complex computing environment is synergistically shared between the labs."
            },
            "begin_planned": "2017-06-01T02:00:00+02:00",
            "begin_effective": "2017-03-01T01:00:00+01:00",
            "end_planned": "2020-05-31T02:00:00+02:00",
            "end_effective": "2019-08-31T02:00:00+02:00",
            "assignment": "2017-02-20T09:41:41+01:00",
            "program": 109,
            "subprogram": null,
            "organization": 14011,
            "category": 10,
            "type": 10,
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            "manager": 79791,
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                10
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            "funder_projectcode": "750835",
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        },
        {
            "id": 4899,
            "title": {
                "de": "Prognostische Wertigkeit der PD-L1 Expression in der Weichteilsarkommikroumgebung",
                "en": "Prognostic impact of PD-L1 expression in soft tissue sarcoma microenvironment"
            },
            "short": null,
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2017-06-01T02:00:00+02:00",
            "begin_effective": "2017-06-01T02:00:00+02:00",
            "end_planned": "2019-06-01T02:00:00+02:00",
            "end_effective": "2025-05-31T02:00:00+02:00",
            "assignment": "2017-03-27T17:41:39+02:00",
            "program": null,
            "subprogram": null,
            "organization": 14085,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": 69234,
            "contact": null,
            "status": 2,
            "research": 2,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                1888
            ],
            "funder_projectcode": null,
            "ethics_committee": null,
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            "persons": [
                "4899-69234-10"
            ]
        },
        {
            "id": 5092,
            "title": {
                "de": "Einfluss von mikrobiom-assoziierten Serum-Metaboliten auf die Wirksamkeit von Immuntherapie bei Patienten mit fortgeschrittenem Melanom - Pilotstudie",
                "en": "Microbial Metabolic Influences On Immunotherapeutic Efficacy Of Immune-\r\nCheckpoint Blockers In Patients With Advanced Melanoma: Pilot Study"
            },
            "short": null,
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2017-05-01T02:00:00+02:00",
            "begin_effective": "2017-08-01T02:00:00+02:00",
            "end_planned": "2019-04-30T02:00:00+02:00",
            "end_effective": "2020-07-31T02:00:00+02:00",
            "assignment": "2017-10-13T14:53:34+02:00",
            "program": null,
            "subprogram": null,
            "organization": 14047,
            "category": 10,
            "type": 10,
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            "manager": null,
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            "status": 2,
            "research": 5,
            "grant": 10,
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            "language": null,
            "funders": [
                1983
            ],
            "funder_projectcode": null,
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            "persons": []
        },
        {
            "id": 4935,
            "title": {
                "de": "EFSD - Albert Renold Travel Fellowship",
                "en": "EFSD - Albert Renold Travel Fellowship"
            },
            "short": null,
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2017-05-01T02:00:00+02:00",
            "begin_effective": "2017-05-01T02:00:00+02:00",
            "end_planned": "2017-10-31T01:00:00+01:00",
            "end_effective": "2017-10-31T01:00:00+01:00",
            "assignment": "2017-04-25T16:33:52+02:00",
            "program": 103,
            "subprogram": null,
            "organization": 14080,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": null,
            "contact": null,
            "status": 2,
            "research": 1,
            "grant": 10,
            "event": null,
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            "funders": [
                431
            ],
            "funder_projectcode": null,
            "ethics_committee": null,
            "edudract_number": null,
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        },
        {
            "id": 4830,
            "title": {
                "de": "Neue therapeutische Agentien für die Kombinationstherapie von Chordomen",
                "en": "Novel therapeutic agents for chordoma combination treatment"
            },
            "short": "Chordom Kombinationstherapie",
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2017-05-01T02:00:00+02:00",
            "begin_effective": "2017-05-01T02:00:00+02:00",
            "end_planned": "2018-12-31T01:00:00+01:00",
            "end_effective": "2018-12-31T01:00:00+01:00",
            "assignment": "2017-02-14T11:23:52+01:00",
            "program": null,
            "subprogram": "ISNK: Ingrid Shaker Nessmann Krebsforschungsvereinigung",
            "organization": 14052,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": 50448,
            "contact": null,
            "status": 2,
            "research": 1,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                1765
            ],
            "funder_projectcode": null,
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "4830-50448-10"
            ]
        },
        {
            "id": 4940,
            "title": {
                "de": "Double hit und double expressor Lymphome - Eine Entität oder nicht?",
                "en": "Double hit and double expressor lymphoma – Same but different?"
            },
            "short": null,
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2017-05-01T02:00:00+02:00",
            "begin_effective": "2017-05-01T02:00:00+02:00",
            "end_planned": "2017-12-31T01:00:00+01:00",
            "end_effective": "2020-04-30T02:00:00+02:00",
            "assignment": "2017-05-02T16:31:20+02:00",
            "program": null,
            "subprogram": null,
            "organization": 14082,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": 51930,
            "contact": null,
            "status": 2,
            "research": 1,
            "grant": 10,
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            "language": null,
            "funders": [
                1375
            ],
            "funder_projectcode": null,
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "4940-51930-10"
            ]
        },
        {
            "id": 4874,
            "title": {
                "de": "Analyse des RAS/MAPK-ERK Signalweges bei der akuten myeloischen Leukämie",
                "en": "Analysis of the RAS/MAPK-ERK signal transduction cascade in acute myeloid leukemia"
            },
            "short": null,
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2017-04-15T02:00:00+02:00",
            "begin_effective": "2017-04-01T02:00:00+02:00",
            "end_planned": "2018-04-14T02:00:00+02:00",
            "end_effective": "2028-06-30T02:00:00+02:00",
            "assignment": "2017-03-09T11:45:45+01:00",
            "program": null,
            "subprogram": null,
            "organization": 14082,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": 57402,
            "contact": null,
            "status": 2,
            "research": 1,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                423
            ],
            "funder_projectcode": null,
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "4874-80093-12",
                "4874-57402-10",
                "4874-97430-12",
                "4874-104139-12",
                "4874-126117-12"
            ]
        },
        {
            "id": 4762,
            "title": {
                "de": "Hochauflösende In Silico Modelle der Gesamten Herzfunktion",
                "en": "High-resolution In Silico Models of Total Heart Function"
            },
            "short": "INSILICARDIO",
            "url": null,
            "abstract": {
                "de": "Fortschritte bei der Entwicklung von tomographischen Verfahren ermöglichen in beispielloser Weise die Anatomie des Herzens abzubilden. Allerdings hatten diese Technologien bisher einen relativ geringen Einfluss auf die Entwicklung von medizinischen Implantaten oder die Verbesserung von klinischen Behandlungsmethoden.\r\nDer Einsatz von bildgebenden Verfahren zur Extraktion von wichtigen funktionellen Informationen und der Kopplung von Bildinformationen mit physiologischen Aspekten, die nicht durch Bildgebung allein verstanden werden können, stellt eine große Herausforderung dar. In silico Modelle, also computerunterstützte Simulationen, bergen enormes Potenzial zur Bewältigung dieser Herausforderungen und können zu einem besseren Verständnis der Herzfunktion, sei es im gesunden oder auch im erkrankten Zustand, führen. Ein entscheidender Vorteil ist hierbei die Möglichkeit diagnostische und therapeutische Methoden zu optimieren ohne dabei Patienten zusätzlichen Risiken oder Schmerzen auszusetzen. In silico Experimente können somit bei der Untersuchung von klinisch relevanten Problemen, wie zum Beispiel Herzklappenchirurgie, Ballon-Angioplastie oder Stenting, äußerst hilfreich sein.\r\nDie Herzfunktion ergibt sich aus der Interaktion verschiedener Physiken, unter anderem der Elektrophysiologie, der Strukturmechanik und der Strömungsmechanik. Während die beteiligten Physiken klar bidirektional wechselwirken, werden sie in praktisch allen Studien isoliert betrachtet. Dies ist zu einem guten Teil auf die Komplexität von Multiphysik-Modellen und den Schwierigkeiten, die bei der Entwicklung von modernen numerischen Methoden und deren effizienten Implementierung auf modernen Rechnerarchitekturen auftauchen, zurückzuführen. Die Bewältigung dieser Herausforderungen ist das zentrale Themas dieses Projektes und die Durchführung setzt auf die Kombination der Expertisen der Antragsteller: Christoph Augustin und Gernot Plank in der Modellierung der Elektrophysiologie und der Strukturmechanik und Shawn Shadden in der Computermodellierung des Blutflusses.\r\nDieses ambitionierte Unterfangen geht weit über den aktuellen Stand der Technik hinaus. Kombinierte Modelle von Herz und Blutgefäßen ermöglichen die Berechnung von natürlichen Randbedingungen für die Simulation des Blutflusses und das Studium von Rückkopplungsmechanismen die die Pumpleistung des Herzens beeinflussen können. Im Endeffekt wird dieses Modell eines der modernsten Werkzeuge der Grundlagenforschung sein, das einen mechanistischen Einblick in die Herzpumpfunktion gewährt. Von wesentlicher Bedeutung ist in diesem Kontext auch die Überprüfung, Parametrisierung und Validierung dieses Modells mit klinischen Datensätzen, die von klinischen Partnern zur Verfügung gestellt werden.\r\nDas Ziel dieser Forschung ist ein innovatives Multiphysik-Computermodell der gesamten Herzfunktion um eine biophysikalisch detaillierte und bidirektional gekoppelte Erforschung der elektromechanischen Funktion des Herzens im gesunden wie im kranken Zustand zu ermöglichen.",
                "en": "Advances in tomographic imaging have enabled unprecedented ability to image cardiac anatomy. However, these technologies have had relatively modest clinical impact. Key challenge have been the use of imaging to extract important functional information and to understand how image-derived information couples with other physiological aspects that cannot be understood through imaging alone. In-silico models hold vast potential to address these challenges by enabling the integration of imaging data into quantitative frameworks that can aid in better understanding cardiac function in health and disease, and developing optimal treatment strategies.\r\nCardiac function arises from interactions between different physics, including electrophysiology, structural mechanics and fluid dynamics. While these physics are bidirectionally linked, virtually all reported modeling studies have considered them in isolation. In no small part this is due to the complexity of multiphysics models and the difficulties in devising advanced numerical methods and their efficient implementation on modern computing architectures. Addressing these challenges as we propose is key to keep model execution and analysis cycles tractable and, thus, to leverage modeling in a translational context. The proposed work goes beyond the state-of-the-art in many regards. Combined models of both heart and attached outflow vessels will be used to provide natural inflow boundary conditions for simulating blood flow and to facilitate studying feedback mechanisms between flow and pressure in the outflow vessels and pumping performance. This set of novel features and the parallel efficiency of the implemented methods will provide a unique platform for translational research. At the fundamental level, this model will be among the most advanced basic research tools for gaining mechanistic insight into cardiac pumping function. This challenging endeavor is feasible only as it builds upon combining the expertise of the applicant Christoph Augustin (Medical University of Graz) in modeling electrophysiology and soft tissue mechanics, and the host Shawn Shadden (UC Berkeley) in computational modeling of blood flow. Clinical datasets for model parametrization and validation are provided by Titus Kühne at the German Heart Centre Berlin, as well as by clinical collaborators of Prof. Shadden at the University of California San Francisco.Technical challenges to be addressed relate to  multiphysics coupling methods which converge robustly and scale efficiently. While such methods have been developed recently for single physics cardiac simulations, this has not been the case for coupled multiphysics models of total heart function. This will be addressed by massively parallel implementations which are based on domain decomposition and strongly scalable iterative methods using appropriate preconditioning and stabilization techniques. In summary, the overall objective is to develop the most advanced in-silico model of total heart function, to facilitate biophysically detailed studies of electro-mechano-fluidic function of the heart. This model will be parametrized, verified and employed to study bidirectional cause-effect relationships between flow and pressure in the outflow vessels and pumping performance."
            },
            "begin_planned": "2017-04-01T02:00:00+02:00",
            "begin_effective": "2017-04-01T02:00:00+02:00",
            "end_planned": "2018-03-31T02:00:00+02:00",
            "end_effective": "2017-04-01T02:00:00+02:00",
            "assignment": "2017-01-11T11:38:59+01:00",
            "program": 101,
            "subprogram": null,
            "organization": 14011,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": 79791,
            "contact": null,
            "status": 2,
            "research": 1,
            "grant": 10,
            "event": null,
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            "language": null,
            "funders": [
                15
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            "funder_projectcode": null,
            "ethics_committee": null,
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            "persons": [
                "4762-79791-10"
            ]
        },
        {
            "id": 5081,
            "title": {
                "de": "Angehörigenmanagement auf der Intensivstation: \r\neine randomisierte kontrollierte Studie",
                "en": "Family information management in the intensive care unit:\r\nA randomized controlled trial\r\n"
            },
            "short": "ICU Families",
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2017-04-01T02:00:00+02:00",
            "begin_effective": "2017-04-01T02:00:00+02:00",
            "end_planned": "2019-03-31T01:00:00+01:00",
            "end_effective": "2020-12-31T01:00:00+01:00",
            "assignment": "2017-10-03T12:23:14+02:00",
            "program": null,
            "subprogram": null,
            "organization": 14080,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": 58615,
            "contact": null,
            "status": 2,
            "research": 4,
            "grant": 10,
            "event": null,
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            "language": null,
            "funders": [
                1748
            ],
            "funder_projectcode": null,
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            "persons": [
                "5081-58615-10"
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        },
        {
            "id": 5044,
            "title": {
                "de": "Diabetes mellitus und assoziierte Risikofaktoren bei bipolarer Störung",
                "en": "Diabetes mellitus und associated risk factors in bipolar disorder"
            },
            "short": null,
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2017-04-01T02:00:00+02:00",
            "begin_effective": "2017-09-01T02:00:00+02:00",
            "end_planned": "2018-04-01T02:00:00+02:00",
            "end_effective": "2021-02-28T01:00:00+01:00",
            "assignment": "2017-08-23T12:39:33+02:00",
            "program": null,
            "subprogram": null,
            "organization": 29444,
            "category": 10,
            "type": 10,
            "partner_function": 1,
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                457
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            "funder_projectcode": null,
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            "persons": [
                "5044-79733-10"
            ]
        },
        {
            "id": 4709,
            "title": {
                "de": "DNA-seq Biomarker-Identifikation in Subgruppen von Stadium II Kolon-Adenokarzinomen",
                "en": "DNA-seq biomarker identification in subgroups of stage II colon adenocarcinoma"
            },
            "short": "BmarkerCOAD",
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2017-04-01T02:00:00+02:00",
            "begin_effective": "2017-04-01T02:00:00+02:00",
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            "end_effective": "2020-06-30T02:00:00+02:00",
            "assignment": "2016-11-29T12:41:23+01:00",
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            "organization": 14026,
            "category": 10,
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