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=1280&ordering=-begin_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=1300&ordering=-begin_planned",
    "previous": "https://api-test.medunigraz.at/v1/research/project/?format=api&limit=20&offset=1260&ordering=-begin_planned",
    "results": [
        {
            "id": 6883,
            "title": {
                "de": "Früherkennung von Therapieresistenzen bei Prostatakrebs - In situ Detektion von Androgen-Rezeptor Splice Varianten",
                "en": "Early detection of therapy resistance in prostate cancer - In situ detection of Androgen receptor splice variants"
            },
            "short": null,
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2017-01-01T01:00:00+01:00",
            "begin_effective": "2022-01-01T01:00:00+01:00",
            "end_planned": "2017-07-31T02:00:00+02:00",
            "end_effective": "2023-12-31T01:00:00+01:00",
            "assignment": "2022-01-19T10:08:55+01:00",
            "program": null,
            "subprogram": "MEFO - Diagnostikum Preidler/Szolar-Stipendium",
            "organization": 14017,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": 66435,
            "contact": null,
            "status": 2,
            "research": 2,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                1743
            ],
            "funder_projectcode": "MEFO-70",
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "6883-66435-10"
            ]
        },
        {
            "id": 4749,
            "title": {
                "de": "STAND UP AND GO",
                "en": "STAND UP AND GO"
            },
            "short": null,
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2017-01-01T01:00:00+01:00",
            "begin_effective": "2017-01-01T01:00:00+01:00",
            "end_planned": "2018-12-31T01:00:00+01:00",
            "end_effective": "2019-05-31T02:00:00+02:00",
            "assignment": "2016-12-22T11:17:24+01:00",
            "program": null,
            "subprogram": "HTI Land Steiermark",
            "organization": 14010,
            "category": 10,
            "type": 10,
            "partner_function": 3,
            "manager": 57932,
            "contact": null,
            "status": 2,
            "research": 2,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                55
            ],
            "funder_projectcode": null,
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "4749-57932-10"
            ]
        },
        {
            "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": 4962,
            "title": {
                "de": "Die Funktion des Enzyms Phosphatidylethanolamine N‐Methyltransferase (PEMT) für die Chylomicronen-Biosynthese. ",
                "en": "Establishment of in vitro models for primary mouse enterocytes to study chylomicron biosynthesis: Role of the enzyme phosphatidylethanolamine N‐methyltransferase (PEMT)"
            },
            "short": "PEMT und Chylomicronen-Biosynthese",
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2017-01-01T01:00:00+01:00",
            "begin_effective": "2017-05-01T02:00:00+02:00",
            "end_planned": "2018-12-31T01:00:00+01:00",
            "end_effective": "2021-04-30T02:00:00+02:00",
            "assignment": "2017-05-22T12:39:11+02:00",
            "program": null,
            "subprogram": null,
            "organization": 14013,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": 51817,
            "contact": null,
            "status": 2,
            "research": 1,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                25
            ],
            "funder_projectcode": null,
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "4962-51817-10"
            ]
        },
        {
            "id": 4649,
            "title": {
                "de": "EULAR Empfehlungen für die Durchführung von Studien zur Berechnung der Arbeitskraft zur Versorgung der Bevölkerung im Bereich Rheumatologie",
                "en": "EULAR points to consider for the conduction of workforce requirement studies in rheumatology"
            },
            "short": "EULAR worforce requirements",
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2017-01-01T01:00:00+01:00",
            "begin_effective": "2017-01-01T01:00:00+01:00",
            "end_planned": "2018-06-30T02:00:00+02:00",
            "end_effective": "2018-06-30T02:00:00+02:00",
            "assignment": "2016-10-11T16:23:37+02:00",
            "program": null,
            "subprogram": null,
            "organization": 14086,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": 66227,
            "contact": null,
            "status": 2,
            "research": 4,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [],
            "funder_projectcode": null,
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "4649-66227-10"
            ]
        },
        {
            "id": 4729,
            "title": {
                "de": "ETABLIERUNG EINER NEUEN METHODE ZUR BEURTEILUNG DER DARMWANDBARRIERE",
                "en": "ESTABLISHING A NEW METHOD FOR FUNCTIONAL ANALYSIS OF THE GUT BARRIER"
            },
            "short": "Darmwand SAXS",
            "url": null,
            "abstract": {
                "de": "Hintergrund: Die Darmwand stellt eine essentielle Barriere des Körpers gegen Invasion von Bakterien und bakteriellen Toxinen dar. Verschiedene Erkrankungen wie Sepsis, Tumorkachexie, Adipositas oder chronisch entzündliche Darmerkrankungen führen zu einer Störung der Darmwandbarriere mit erhöhter Durchlässigkeit für bakterielle Toxine und konsekutiver Entzündungsreaktion. Aus diesem Grund ist die Beurteilung der Darmwanddurchlässigkeit essentieller Bestandteil verschiedener Grundlagenforschungsprojekte. Bisherige Methoden erlauben jedoch keine vollständige und zufriedenstellende Analyse der Darmwandbarriere. \r\nZiel: Ziel dieser Untersuchung ist es die Technik des small angle x-ray-scattering (SAXS) an einem Sepsismodell zu erproben, damit neue Erkenntnisse über die Darmwand zu erlangen und eine neue Technik zu etablieren.\u2028Tiere: 16 wild type Mäuse werden in 2 Gruppen geteilt. Die Kontrollgruppe erhält nur FITC Dextran per Sonde und wird 16h später euthanasiert. Bei den Tieren der zweiten Gruppe wird mittels CLP (cecal ligation and puncture) eine Sepsis erzeugt. Auch diese Tiere erhalten FITC dextran per Sonde. \r\nMethodik: Bei der Euthanasie wird Blut gewonnen und daraus der Serumgehalt von FITC als funktioneller Parameter der Darmdurchlässigkeit spektrophotometrisch bestimmt. Zusätzlich wird die Entzündung der Darmwand in HE Schnitten quantifiziert und der Darm elektronenmikroskopisch untersucht. Zusätzlich werden Ileumabschnitte mittels SAXS untersucht. Die Permeabilitätsparameter zwischen den Gruppen werden verglichen. Zusätzlich werden die Ergebnisse der Standardmethoden mit denen des SAXS korreliert. \r\nDissemination: Bisher gibt es keine Daten zur Darmwandanalyse mittels SAXS in der medizinischen Literatur. Die Ergebnisse sollen hochwertig veröffentlicht und auf internationalen Kongressen präsentiert werden. Zudem legen sie die Basis für weitere Forschungsanträge. Da unzählige Pathologien mit gestörter Darmwandbarriere vergesellschaftet sind und diese Technik auch bei der Versuchstierreduktion hilft, könnte mit dieser Methode durch die Kooperation zwischen Medizinischer Universität Graz und Universität für Bodenkultur Wien wissenschaftliches Neuland ergründet und neue Standards gelegt werden. \r\n\r\n",
                "en": null
            },
            "begin_planned": "2017-01-01T01:00:00+01:00",
            "begin_effective": "2017-01-01T01:00:00+01:00",
            "end_planned": "2017-12-31T01:00:00+01:00",
            "end_effective": "2018-03-31T02:00:00+02:00",
            "assignment": "2016-12-12T11:48:08+01:00",
            "program": null,
            "subprogram": null,
            "organization": 14049,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": 54087,
            "contact": null,
            "status": 2,
            "research": 1,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                1743
            ],
            "funder_projectcode": "MEFO-20",
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "4729-50778-12",
                "4729-54087-10",
                "4729-82670-12"
            ]
        },
        {
            "id": 4695,
            "title": {
                "de": "Die Verwendung von CXCR4 Antagonisten zur Therapie von aggressiven B-Zell Lymphomen",
                "en": "The use of CXCR4 antagonists for therapeutic targeting of aggressive B-cell lymphomas"
            },
            "short": null,
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2017-01-01T01:00:00+01:00",
            "begin_effective": "2016-12-01T01:00:00+01:00",
            "end_planned": "2018-12-31T01:00:00+01:00",
            "end_effective": "2019-06-30T02:00:00+02:00",
            "assignment": "2016-11-18T10:52:24+01:00",
            "program": null,
            "subprogram": null,
            "organization": 14082,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": 59496,
            "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": [
                "4695-59496-10"
            ]
        },
        {
            "id": 4768,
            "title": {
                "de": "Regulatorische Immunzellen als neue Marker in der Nierentransplantation",
                "en": "Regulatory immune cell subtypes as new biomarkers in renal transplant recipients - a pilot study"
            },
            "short": null,
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2017-01-01T01:00:00+01:00",
            "begin_effective": "2017-01-01T01:00:00+01:00",
            "end_planned": "2018-12-31T01:00:00+01:00",
            "end_effective": "2020-02-29T01:00:00+01:00",
            "assignment": "2017-01-11T16:29:25+01:00",
            "program": 79,
            "subprogram": null,
            "organization": 14084,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": 74174,
            "contact": null,
            "status": 2,
            "research": 4,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                12
            ],
            "funder_projectcode": "17212",
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "4768-74174-10",
                "4768-86124-12",
                "4768-107070-12"
            ]
        },
        {
            "id": 4797,
            "title": {
                "de": "Healthy Aging and Epigenetics",
                "en": "Healthy Aging and Epigenetics"
            },
            "short": "EpiAge",
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2017-01-01T01:00:00+01:00",
            "begin_effective": "2017-01-01T01:00:00+01:00",
            "end_planned": "2019-12-31T01:00:00+01:00",
            "end_effective": "2019-12-31T01:00:00+01:00",
            "assignment": "2017-02-01T10:49:59+01:00",
            "program": null,
            "subprogram": "BioTechMed Flagship Project",
            "organization": 14080,
            "category": 10,
            "type": 10,
            "partner_function": 2,
            "manager": 51831,
            "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": [
                "4797-51831-10",
                "4797-95211-12",
                "4797-73927-12",
                "4797-90274-12",
                "4797-99699-12",
                "4797-102575-12",
                "4797-120872-12"
            ]
        },
        {
            "id": 4808,
            "title": {
                "de": "PR0STATAKREBS: neue Hoffnung dank alter Wirkstoffe.",
                "en": "Prostate cancer: New hope thanks to old drugs."
            },
            "short": "Prostatakrebs",
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2016-12-15T01:00:00+01:00",
            "begin_effective": "2016-02-01T01:00:00+01:00",
            "end_planned": "2017-04-01T02:00:00+02:00",
            "end_effective": "2017-03-31T02:00:00+02:00",
            "assignment": "2017-02-07T11:17:55+01:00",
            "program": null,
            "subprogram": null,
            "organization": 14014,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": null,
            "contact": null,
            "status": 2,
            "research": 1,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                1743
            ],
            "funder_projectcode": "MEFO-15",
            "ethics_committee": null,
            "edudract_number": null,
            "persons": []
        },
        {
            "id": 4757,
            "title": {
                "de": "Humane Trophoblaststammzellen - Charakterisierung humaner Trophoblastzell-Subpopulationen mit Stammzell-ähnlichen Eigenschaften",
                "en": "Human trophoblast stem cells - characterizing subpopulations of human trophoblasts presenting with stem-cell properties"
            },
            "short": null,
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2016-12-01T01:00:00+01:00",
            "begin_effective": "2016-12-01T01:00:00+01:00",
            "end_planned": "2017-05-31T02:00:00+02:00",
            "end_effective": "2017-05-31T02:00:00+02:00",
            "assignment": "2017-01-10T16:17:14+01:00",
            "program": null,
            "subprogram": null,
            "organization": 14017,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": 54171,
            "contact": null,
            "status": 2,
            "research": 1,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                530
            ],
            "funder_projectcode": null,
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "4757-54171-10"
            ]
        },
        {
            "id": 5008,
            "title": {
                "de": "Zonulin bei Anorexia nervosa",
                "en": "Zonulin in anorexia nervosa"
            },
            "short": "Zonulin",
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2016-12-01T01:00:00+01:00",
            "begin_effective": "2017-09-01T02:00:00+02:00",
            "end_planned": "2016-05-01T02:00:00+02:00",
            "end_effective": "2018-08-31T02:00:00+02:00",
            "assignment": "2017-07-11T12:21:24+02:00",
            "program": null,
            "subprogram": null,
            "organization": 29444,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": 84449,
            "contact": null,
            "status": 2,
            "research": 1,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                457
            ],
            "funder_projectcode": null,
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "5008-84449-10"
            ]
        },
        {
            "id": 4796,
            "title": {
                "de": "Algorithmengestützte Diabetestherapie für ältere Menschen zu Hause",
                "en": "Algorithm-based diabetes therapy for geriatric patients at home"
            },
            "short": "DiabetesTherapy@Home",
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2016-12-01T01:00:00+01:00",
            "begin_effective": "2017-02-01T01:00:00+01:00",
            "end_planned": "2018-11-30T01:00:00+01:00",
            "end_effective": "2019-03-31T01:00:00+01:00",
            "assignment": "2017-01-30T11:03:05+01:00",
            "program": 75,
            "subprogram": "HumanTechnologyInterface: Healthy Ageing–Assisted Living\r\n",
            "organization": 14080,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": 65558,
            "contact": null,
            "status": 2,
            "research": 2,
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