List projects.

Fields

id (integer)

Primary key.

Expansions

To activate relation expansion add the desired fields as a comma separated list to the expand query parameter like this:

?expand=<field>,<field>,<field>,...

The following relational fields can be expanded:

  • organization
  • category
  • type
  • partner_function
  • manager
  • contact
  • status
  • grant
  • research
  • event
  • study
  • language
  • program
  • funders

Filters

To filter for exact value matches:

?<fieldname>=<value>

Possible exact filters:

  • organization
  • category
  • manager
  • contact
  • status
  • grant
  • research
  • study
  • language
  • funders
  • program

For advanced filtering use lookups:

?<fieldname>__<lookup>=<value>

All fields with advanced lookups can also be used for exact value matches as described above.

Possible advanced lookups:

  • begin_planned: gt, gte, lt, lte
  • begin_effective: gt, gte, lt, lte
  • end_planned: gt, gte, lt, lte
  • end_effective: gt, gte, lt, lte
GET /v1/research/project/?format=api&offset=1080&ordering=-end_planned
HTTP 200 OK
  Allow: GET, HEAD, OPTIONS
  Content-Type: application/json
  Vary: Accept
  
  {
    "count": 2265,
    "next": "https://api-test.medunigraz.at/v1/research/project/?format=api&limit=20&offset=1100&ordering=-end_planned",
    "previous": "https://api-test.medunigraz.at/v1/research/project/?format=api&limit=20&offset=1060&ordering=-end_planned",
    "results": [
        {
            "id": 5910,
            "title": {
                "de": "Optimierung einer Modellbildungs- und Simulationspipeline  zur Steuerung von katheter-basierten Ablationstherapie mit dem Ziel der klinischen Translation",
                "en": "Optimising a computational model generation and simulation pipeline to guide catheter\r\nablation therapy to facilitate clinical translation"
            },
            "short": null,
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2019-01-01T01:00:00+01:00",
            "begin_effective": "2019-09-04T02:00:00+02:00",
            "end_planned": "2020-12-31T01:00:00+01:00",
            "end_effective": "2021-09-03T02:00:00+02:00",
            "assignment": "2019-09-11T10:33:04+02:00",
            "program": null,
            "subprogram": null,
            "organization": 14011,
            "category": 10,
            "type": 10,
            "partner_function": 2,
            "manager": 50966,
            "contact": null,
            "status": 2,
            "research": 1,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                214
            ],
            "funder_projectcode": null,
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "5910-50966-10"
            ]
        },
        {
            "id": 4782,
            "title": {
                "de": "Bild-basiertes Lernen für prädiktive personalisierte Modelle der Herzfunktion",
                "en": "Image-based Learning in Predictive Personalized  Models of Total Heart Function"
            },
            "short": "ILEARNHEART",
            "url": null,
            "abstract": {
                "de": "The heart is an electrically controlled mechanical pump, which drives blood flow from its cavities into the vascular system through deformation of its walls. Its function emerges from a bidirectional transduction of processes across multiple physical systems as well as spatial and temporal scales. This multiscale-multiphysics nature renders the heart an inherently challenging organ to study through reductionist approaches alone. This fundamental problem can be addressed by using biophysically detailed in silico models. Today in basic sciences such models are considered an indispensable element in any advanced physiology study as they offer the unique ability to mechanistically analyze cause-effect relationships at high spatio-temporal resolutions in the intact organ across scales and physics.\r\n\r\nDriven by recent advances in medical imaging and simulation technologies, a translational trend emerged which is geared towards evolving modeling into a clinical modality. In the clinic image-based analysis of the dynamics of electrophysiological activity, deformation and blood flow is of pivotal importance in the diagnostic assessment of cardiac function. Due to the sparse and noisy nature of medical image data computational analysis tools are essential for providing a more objective quantitative evaluation of a patient's condition. Moreover, relevant biomarkers cannot be measured directly and must be derived from images by computational analysis, a process which is often enriched by PDE models of the underlying physics. To further gain clinical traction such image-informed in silico models must be personalized for a given patient to provide clinically useful biomarkers, which can serve to indicate or stratify disease or allow for virtual testing of treatments and prediction of outcomes acutely and longitudinally. Personalization requires the conception of sophisticated data assimilation procedures to facilitate model adaptation to a patient's cardiac anatomy and function. Such data-model fusion techniques are highly non-trivial to devise for clinical electro-mechano-fluidic (EMF) models due to the large number of and the non-linear relation between model components that must be fit.\r\n\r\nThis project combines expertise in cardiac modeling and simulation, computational image analysis, learning - based data assimilation techniques and high performance computing algorithms to render feasible the development of robust and efficient data-model fusion framework for the image-based personalization of models of total heart function. The long term aim is the development of a clinical assist modality for the optimization and outcome prediction of valve (aortic/mitral) replacement therapies in the left heart. It is anticipated that such personalized EMF models will play an essential role in informing clinical decision making in future precision therapies. ",
                "en": "The heart is an electrically controlled mechanical pump, which drives blood flow from its cavities into the vascular system through deformation of its walls. Its function emerges from a bidirectional transduction of processes across multiple physical systems as well as spatial and temporal scales. This multiscale-multiphysics nature renders the heart an inherently challenging organ to study through reductionist approaches alone. This fundamental problem can be addressed by using biophysically detailed in silico models. Today in basic sciences such models are considered an indispensable element in any advanced physiology study as they offer the unique ability to mechanistically analyze cause-effect relationships at high spatio-temporal resolutions in the intact organ across scales and physics.\r\n\r\nDriven by recent advances in medical imaging and simulation technologies, a translational trend emerged which is geared towards evolving modeling into a clinical modality. In the clinic image-based analysis of the dynamics of electrophysiological activity, deformation and blood flow is of pivotal importance in the diagnostic assessment of cardiac function. Due to the sparse and noisy nature of medical image data computational analysis tools are essential for providing a more objective quantitative evaluation of a patient's condition. Moreover, relevant biomarkers cannot be measured directly and must be derived from images by computational analysis, a process which is often enriched by PDE models of the underlying physics. To further gain clinical traction such image-informed in silico models must be personalized for a given patient to provide clinically useful biomarkers, which can serve to indicate or stratify disease or allow for virtual testing of treatments and prediction of outcomes acutely and longitudinally. Personalization requires the conception of sophisticated data assimilation procedures to facilitate model adaptation to a patient's cardiac anatomy and function. Such data-model fusion techniques are highly non-trivial to devise for clinical electro-mechano-fluidic (EMF) models due to the large number of and the non-linear relation between model components that must be fit.\r\n\r\nThis project combines expertise in cardiac modeling and simulation, computational image analysis, learning - based data assimilation techniques and high performance computing algorithms to render feasible the development of robust and efficient data-model fusion framework for the image-based personalization of models of total heart function. The long term aim is the development of a clinical assist modality for the optimization and outcome prediction of valve (aortic/mitral) replacement therapies in the left heart. It is anticipated that such personalized EMF models will play an essential role in informing clinical decision making in future precision therapies. "
            },
            "begin_planned": "2017-01-01T01:00:00+01:00",
            "begin_effective": "2017-01-01T01:00:00+01:00",
            "end_planned": "2020-12-31T01:00:00+01:00",
            "end_effective": "2020-12-31T01:00:00+01:00",
            "assignment": "2017-01-02T13:42:53+01:00",
            "program": null,
            "subprogram": "BioTechMed Flagship Project",
            "organization": 14011,
            "category": 10,
            "type": 10,
            "partner_function": 3,
            "manager": 50966,
            "contact": null,
            "status": 2,
            "research": 1,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                2325
            ],
            "funder_projectcode": null,
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "4782-50966-10",
                "4782-96212-12",
                "4782-98304-12"
            ]
        },
        {
            "id": 6048,
            "title": {
                "de": "Efficient Ex Vivo Evaluation of Combined Immunotherapies for Diffuse Large B Cell Lymphoma",
                "en": "Efficient Ex Vivo Evaluation of Combined Immunotherapies for Diffuse Large B Cell Lymphoma"
            },
            "short": "Immunotherapies for Lymphoma",
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2020-01-01T01:00:00+01:00",
            "begin_effective": "2020-07-01T02:00:00+02:00",
            "end_planned": "2020-12-31T01:00:00+01:00",
            "end_effective": "2025-12-31T01:00:00+01:00",
            "assignment": "2020-02-10T13:46:22+01:00",
            "program": null,
            "subprogram": null,
            "organization": 14017,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": 94195,
            "contact": null,
            "status": 2,
            "research": 1,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                1743
            ],
            "funder_projectcode": "MEFO-47",
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "6048-94195-10"
            ]
        },
        {
            "id": 6078,
            "title": {
                "de": "PICS4HEALTH – „SELFIES“ ZUR DIAGNOSE DER SARKOPENIE",
                "en": "PICS4HEALTH – „SELFIES“ TO DIAGNOSE SARCOPENIA"
            },
            "short": "PICS4HEALTH",
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2020-01-01T01:00:00+01:00",
            "begin_effective": "2020-01-01T01:00:00+01:00",
            "end_planned": "2020-12-31T01:00:00+01:00",
            "end_effective": "2020-12-31T01:00:00+01:00",
            "assignment": "2020-03-02T12:36:59+01:00",
            "program": null,
            "subprogram": null,
            "organization": 14081,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": 50989,
            "contact": null,
            "status": 2,
            "research": 4,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                1743
            ],
            "funder_projectcode": "MEFO-49",
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "6078-50989-10"
            ]
        },
        {
            "id": 6204,
            "title": {
                "de": "Der Einfluss pflanzlicher Ernährung auf die Immunmodulation. \r\nEffekte elektiver natürlicher Pflanzenfarbstoffe und der Lebensmittelmatrix auf die Aryl-Hydrocarbon-Rezeptor Aktivität.\r\n",
                "en": "The impact of plant-based nutrition on Immunmodulation.\r\nSubtitle: Effects of elective natural dyes and food matrix on aryl hydrocarbon receptor interaction.\r\n"
            },
            "short": null,
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2020-07-01T02:00:00+02:00",
            "begin_effective": "2020-07-01T02:00:00+02:00",
            "end_planned": "2020-11-30T01:00:00+01:00",
            "end_effective": "2022-06-30T02:00:00+02:00",
            "assignment": "2020-07-15T17:29:13+02:00",
            "program": null,
            "subprogram": null,
            "organization": 14014,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": 88711,
            "contact": null,
            "status": 2,
            "research": 1,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                1743
            ],
            "funder_projectcode": "MEFO-53",
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "6204-88711-10"
            ]
        },
        {
            "id": 5567,
            "title": {
                "de": "Entschluesselung des komplizierten Interaktionsnetzwerkes im β-Catenin Destruktion Komplex - Das Axin-1 Paradigma",
                "en": "Deciphering the Intricate Interaction Network in the β-Catenin Destruktion Complex - The Axin-1 Paradigm"
            },
            "short": null,
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2018-12-01T01:00:00+01:00",
            "begin_effective": "2018-12-01T01:00:00+01:00",
            "end_planned": "2020-11-30T01:00:00+01:00",
            "end_effective": "2020-11-30T01:00:00+01:00",
            "assignment": "2018-12-05T10:51:12+01:00",
            "program": null,
            "subprogram": null,
            "organization": 14013,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": null,
            "contact": null,
            "status": 2,
            "research": 1,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                15
            ],
            "funder_projectcode": null,
            "ethics_committee": null,
            "edudract_number": null,
            "persons": []
        },
        {
            "id": 4196,
            "title": {
                "de": "Personalisierte Risikobewertung bei fieberhaften Erkrankungen. \r\nReal-Life-Management in der gesamten Europäischen Union.  ",
                "en": "Personalised Risk assessment in febrile illness to Optimise Real-life Management across the European Union"
            },
            "short": "Perform ",
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2015-12-01T01:00:00+01:00",
            "begin_effective": "2016-01-01T01:00:00+01:00",
            "end_planned": "2020-11-30T01:00:00+01:00",
            "end_effective": "2020-12-31T01:00:00+01:00",
            "assignment": "2015-12-15T12:17:03+01:00",
            "program": 109,
            "subprogram": "Health Call: H2020-PHC-2015-two-stage.",
            "organization": 14091,
            "category": 10,
            "type": 10,
            "partner_function": 2,
            "manager": 51647,
            "contact": null,
            "status": 2,
            "research": 1,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                10
            ],
            "funder_projectcode": "668303",
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "4196-54004-12",
                "4196-62056-12",
                "4196-51647-10"
            ]
        },
        {
            "id": 5550,
            "title": {
                "de": "Humanisierte Xenotransplantationsmodelle zur Optimierung der Therapie von akuter myeloischer Leukämie. ",
                "en": "Humanized xenotransplantation models of acute myeloid leukemia to predict patient outcome and direct therapy."
            },
            "short": null,
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2018-11-01T01:00:00+01:00",
            "begin_effective": "2018-11-01T01:00:00+01:00",
            "end_planned": "2020-10-31T01:00:00+01:00",
            "end_effective": "2020-10-31T01:00:00+01:00",
            "assignment": "2018-11-15T14:47:34+01:00",
            "program": null,
            "subprogram": null,
            "organization": 14082,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": 50747,
            "contact": null,
            "status": 2,
            "research": 1,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                1375
            ],
            "funder_projectcode": null,
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "5550-50747-10"
            ]
        },
        {
            "id": 5927,
            "title": {
                "de": "Maßnahmen zur \r\nAttraktivierung der Allgemeinmedizin \r\n",
                "en": "Maßnahmen zur \r\nAttraktivierung der Allgemeinmedizin \r\n"
            },
            "short": null,
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2019-11-01T01:00:00+01:00",
            "begin_effective": "2019-11-01T01:00:00+01:00",
            "end_planned": "2020-10-31T01:00:00+01:00",
            "end_effective": "2020-10-31T01:00:00+01:00",
            "assignment": "2019-10-16T10:46:08+02:00",
            "program": null,
            "subprogram": null,
            "organization": 27964,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": 51098,
            "contact": null,
            "status": 2,
            "research": 2,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                2160
            ],
            "funder_projectcode": null,
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "5927-51098-10"
            ]
        },
        {
            "id": 5581,
            "title": {
                "de": "Visuelle erweiterte Realität zur räumliche Zuordnung",
                "en": "Visual Augmented Reality Assistant for Spatial Mapping"
            },
            "short": "VizARd",
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2018-11-01T01:00:00+01:00",
            "begin_effective": "2018-11-01T01:00:00+01:00",
            "end_planned": "2020-10-31T01:00:00+01:00",
            "end_effective": "2021-04-30T02:00:00+02:00",
            "assignment": "2018-12-11T12:25:14+01:00",
            "program": null,
            "subprogram": null,
            "organization": 14054,
            "category": 10,
            "type": 10,
            "partner_function": 2,
            "manager": 57389,
            "contact": null,
            "status": 2,
            "research": 2,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                416
            ],
            "funder_projectcode": "867536",
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "5581-57389-10"
            ]
        },
        {
            "id": 6370,
            "title": {
                "de": "Untersuchung der Insulinabhängigen globalen und lokalen H2O2 und NO• Signaltransduktionswegen  in Kardiomyozyten",
                "en": "Shining a Light on Global and Local H2O2 and NO• Signals in Cardiac Insulin Signaling"
            },
            "short": "Insulin med. Radikalbldg. Herzmuskelzell",
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2017-10-30T01:00:00+01:00",
            "begin_effective": "2021-02-01T01:00:00+01:00",
            "end_planned": "2020-10-30T01:00:00+01:00",
            "end_effective": "2022-07-31T02:00:00+02:00",
            "assignment": "2020-12-15T12:00:05+01:00",
            "program": 69,
            "subprogram": null,
            "organization": 14013,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": null,
            "contact": null,
            "status": 2,
            "research": 1,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                9
            ],
            "funder_projectcode": "J4113-B31",
            "ethics_committee": null,
            "edudract_number": null,
            "persons": []
        },
        {
            "id": 5527,
            "title": {
                "de": "Modellierung des BAP1 Tumor Prädispositions Syndroms unter Verwendung von iPSC generierten Melanozyten zur Untersuchung der frühen genetischen und epigenetischen Stufen der Melanomentstehung ",
                "en": "Modelling the BAP1 Tumor predisposition syndrome using iPSC-derived melanocytes to investigate the early genetic and epigenetic steps of melanoma development"
            },
            "short": null,
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2018-10-01T02:00:00+02:00",
            "begin_effective": "2018-10-01T02:00:00+02:00",
            "end_planned": "2020-10-01T02:00:00+02:00",
            "end_effective": "2020-09-30T02:00:00+02:00",
            "assignment": "2018-10-23T16:24:21+02:00",
            "program": null,
            "subprogram": null,
            "organization": 14021,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": null,
            "contact": null,
            "status": 2,
            "research": 1,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                894
            ],
            "funder_projectcode": null,
            "ethics_committee": null,
            "edudract_number": null,
            "persons": []
        },
        {
            "id": 5139,
            "title": {
                "de": "Immissions- und Emissionsmessungen von Bioaerosolen im Bereich von Geflügel- und Schweinestallungen",
                "en": "Emissions and Immissions of Bioaerosols in the Area of different Barns"
            },
            "short": "LUQUASTA",
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2017-09-01T02:00:00+02:00",
            "begin_effective": "2017-12-01T01:00:00+01:00",
            "end_planned": "2020-10-01T02:00:00+02:00",
            "end_effective": "2021-06-30T02:00:00+02:00",
            "assignment": "2017-11-28T10:56:06+01:00",
            "program": 90,
            "subprogram": null,
            "organization": 14023,
            "category": 10,
            "type": 10,
            "partner_function": 3,
            "manager": 50497,
            "contact": null,
            "status": 2,
            "research": 2,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                957
            ],
            "funder_projectcode": null,
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "5139-50497-10",
                "5139-51198-12"
            ]
        },
        {
            "id": 5897,
            "title": {
                "de": "Zirkadiane Veränderungen des Makulavolumens in der gesunden Netzhaut des Menschen",
                "en": "Circadian Macular Volume Changes in the Healthy Human Retina"
            },
            "short": "Retinale zirkadiane Veränderungen",
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2019-10-01T02:00:00+02:00",
            "begin_effective": "2019-10-01T02:00:00+02:00",
            "end_planned": "2020-10-01T02:00:00+02:00",
            "end_effective": "2027-12-31T01:00:00+01:00",
            "assignment": "2019-08-29T10:30:32+02:00",
            "program": null,
            "subprogram": null,
            "organization": 14043,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": 53938,
            "contact": null,
            "status": 2,
            "research": 2,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                938
            ],
            "funder_projectcode": null,
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "5897-53938-10"
            ]
        },
        {
            "id": 4596,
            "title": {
                "de": "DK \"Molecular Fundamentals of Inflammation\" (2. funding period)",
                "en": "DK \"Molecular Fundamentals of Inflammation\" (2. Förderperiode)"
            },
            "short": "DK-MOLIN",
            "url": null,
            "abstract": {
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