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=60
HTTP 200 OK
  Allow: GET, HEAD, OPTIONS
  Content-Type: application/json
  Vary: Accept
  
  {
    "count": 2194,
    "next": "https://api-test.medunigraz.at/v1/research/project/?format=api&limit=20&offset=80",
    "previous": "https://api-test.medunigraz.at/v1/research/project/?format=api&limit=20&offset=40",
    "results": [
        {
            "id": 3419,
            "title": {
                "de": "Zirkulierende Tumorzellen in Brustkrebs",
                "en": "Circulating tumor cells in breast cancer"
            },
            "short": "CTC breast cancer",
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2013-12-01T01:00:00+01:00",
            "begin_effective": "2013-12-01T01:00:00+01:00",
            "end_planned": "2014-03-31T02:00:00+02:00",
            "end_effective": "2014-03-31T02:00:00+02:00",
            "assignment": "2013-11-05T11:27:05+01:00",
            "program": 103,
            "subprogram": "VINNMER",
            "organization": 14017,
            "category": 10,
            "type": 10,
            "partner_function": 2,
            "manager": 54171,
            "contact": null,
            "status": 2,
            "research": 5,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                1006
            ],
            "funder_projectcode": null,
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "3419-54171-10"
            ]
        },
        {
            "id": 3745,
            "title": {
                "de": "Molekulare Charakterisierung zirkulierender Tumorzellen in Brustkrebs",
                "en": "Molecular characterization of circulating tumor cells in breast cancer"
            },
            "short": "CTC characterization in breast cancer",
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2014-08-01T02:00:00+02:00",
            "begin_effective": "2014-08-01T02:00:00+02:00",
            "end_planned": "2017-07-31T02:00:00+02:00",
            "end_effective": "2017-07-31T02:00:00+02:00",
            "assignment": "2014-08-13T10:46:29+02:00",
            "program": null,
            "subprogram": "VINNMER Marie Curie Incoming",
            "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": [
                1006
            ],
            "funder_projectcode": null,
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "3745-54171-10"
            ]
        },
        {
            "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": 3315,
            "title": {
                "de": "The Voice of Rett",
                "en": "The Voice of Rett"
            },
            "short": null,
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2013-05-01T02:00:00+02:00",
            "begin_effective": "2013-05-01T02:00:00+02:00",
            "end_planned": "2015-12-31T01:00:00+01:00",
            "end_effective": "2015-12-31T01:00:00+01:00",
            "assignment": "2013-07-05T10:12:30+02:00",
            "program": null,
            "subprogram": null,
            "organization": 14010,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": 58883,
            "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": [
                "3315-79651-11",
                "3315-58883-10"
            ]
        },
        {
            "id": 3834,
            "title": {
                "de": "Komplexe Schwingungssysteme: Modellierung und Analyse ",
                "en": "Complex Oscillatory Systems: Modelling and Analysis"
            },
            "short": "COSMOS_HORIZON",
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2015-01-01T01:00:00+01:00",
            "begin_effective": "2015-01-01T01:00:00+01:00",
            "end_planned": "2018-12-31T01:00:00+01:00",
            "end_effective": "2019-08-31T02:00:00+02:00",
            "assignment": "2014-12-12T09:24:46+01:00",
            "program": 109,
            "subprogram": "Innovative Training Network /European Joint Doctorate",
            "organization": 14010,
            "category": 10,
            "type": 10,
            "partner_function": 2,
            "manager": 51671,
            "contact": null,
            "status": 2,
            "research": 1,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                10
            ],
            "funder_projectcode": "642563",
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "3834-51671-10"
            ]
        },
        {
            "id": 8602,
            "title": {
                "de": "CoE MetAge – Zusatzfinanzierung",
                "en": "CoE MetAge – Zusatzfinanzierung"
            },
            "short": "CoE MetAge – Zusatzfinanzierung",
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2024-10-01T02:00:00+02:00",
            "begin_effective": "2024-10-01T02:00:00+02:00",
            "end_planned": "2029-09-30T02:00:00+02:00",
            "end_effective": "2029-09-30T02:00:00+02:00",
            "assignment": "2025-01-17T11:19:47+01:00",
            "program": null,
            "subprogram": null,
            "organization": 14012,
            "category": 10,
            "type": 10,
            "partner_function": 2,
            "manager": 91207,
            "contact": null,
            "status": 2,
            "research": 1,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                135
            ],
            "funder_projectcode": "ABT12-338847/2024-12",
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "8602-91207-10",
                "8602-98222-12",
                "8602-111387-12",
                "8602-111770-12",
                "8602-124496-12",
                "8602-128797-12"
            ]
        },
        {
            "id": 6852,
            "title": {
                "de": "Anomalien im Fettstoffwechsel von PEMT-Knockout Mäusen",
                "en": "Abnormalities in lipid metabolism of PEMT knockout mice."
            },
            "short": "PEMT-KO-Mäuse",
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2021-12-17T01:00:00+01:00",
            "begin_effective": "2022-01-01T01:00:00+01:00",
            "end_planned": "2023-04-30T02:00:00+02:00",
            "end_effective": "2026-03-31T02:00:00+02:00",
            "assignment": "2021-12-20T09:49:08+01:00",
            "program": null,
            "subprogram": null,
            "organization": 14012,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": 50712,
            "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": [
                "6852-50712-10"
            ]
        },
        {
            "id": 8390,
            "title": {
                "de": "Intermittierendes Fasten und Bewegung bei Typ 2 Diabetes",
                "en": "Intermittent Fasting and Exercise in Type 2 Diabetes"
            },
            "short": "INTERFAST-3",
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2024-06-15T02:00:00+02:00",
            "begin_effective": "2024-06-15T02:00:00+02:00",
            "end_planned": "2027-06-14T02:00:00+02:00",
            "end_effective": "2028-06-14T02:00:00+02:00",
            "assignment": "2024-09-17T12:19:28+02:00",
            "program": 108,
            "subprogram": null,
            "organization": 14080,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": 50838,
            "contact": null,
            "status": 2,
            "research": 4,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                9
            ],
            "funder_projectcode": "KLP3413324",
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "8390-50838-10"
            ]
        },
        {
            "id": 8006,
            "title": {
                "de": "Sicherheit und Wirksamkeit eines mobilen, App-basierten Decision Support Systems für  Bewegung bei Typ 1 Diabetes",
                "en": "Safety and pilot efficacy of a mobile app-based decision support system for\r\nexercise in type 1 diabetes (AppEx)"
            },
            "short": "AppEx",
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2024-01-01T01:00:00+01:00",
            "begin_effective": "2024-01-01T01:00:00+01:00",
            "end_planned": "2024-12-31T01:00:00+01:00",
            "end_effective": "2024-12-31T01:00:00+01:00",
            "assignment": "2024-01-31T15:08:01+01:00",
            "program": null,
            "subprogram": null,
            "organization": 14080,
            "category": 10,
            "type": 10,
            "partner_function": 2,
            "manager": 50838,
            "contact": null,
            "status": 2,
            "research": 2,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                431
            ],
            "funder_projectcode": null,
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "8006-50838-10"
            ]
        },
        {
            "id": 7095,
            "title": {
                "de": "COVID-19 Impfung bei Menschen mit Diabetes",
                "en": "COVID-19 vaccination in people with diabetes"
            },
            "short": "COVAC-DM",
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2022-05-01T02:00:00+02:00",
            "begin_effective": "2022-08-01T02:00:00+02:00",
            "end_planned": "2024-02-28T01:00:00+01:00",
            "end_effective": "2024-05-31T02:00:00+02:00",
            "assignment": "2022-07-11T14:03:17+02:00",
            "program": 108,
            "subprogram": null,
            "organization": 14080,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": 50838,
            "contact": null,
            "status": 2,
            "research": 4,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                9
            ],
            "funder_projectcode": "KLI 1076",
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "7095-50838-10"
            ]
        },
        {
            "id": 4050,
            "title": {
                "de": "Der Beitrag von I(f) und I(K1) zur ektopen Fokusbildung im linken und rechten Atrium bei Vorhofflimmern",
                "en": "Interatrial gradients in I(f) and I(K1) and their contribution to focal activity in atrial fibrillation"
            },
            "short": null,
            "url": null,
            "abstract": {
                "de": "Vorhofflimmern (VHF) ist eine der häufigsten Rhythmusstörungen und ist mit einer hohen Morbidität und Mortalität assoziiert. Veränderungen der Ionenkanalfunktion werden unter anderem für die Generierung der Arrhythmien verantwortlich gemacht. Neben Arealen im Bereich der Eintrittsstellen der Pulmonalvenen in den linken Vorhof spielen dabei sowohl das linke als auch das rechte Herzohr eine Rolle. Das Ziel der Studie ist die Erforschung der Rolle des Schrittmacherstromes  If – potentiell verantwortlich für ektope Aktivitäten, und die Erforschung des einwärts gleichrichtenden Kaliumstromes IK1 – verantwortlich für ein stabiles Ruhemembranpotential bei der Generierung abnormer Automatie bei VHF. Ein spezieller Fokus wird der Vergleich interatrialer Unterschiede bei Patienten mit und ohne VHF sein. Zusätzlich werden die experimentellen Untersuchungen in ein dreidimensionales Computermodell integriert, wodurch ein Beitrag zum besseren Verständnis der Bedeutung von If- und IK1 bei der Entstehung von VHF geleistet werden soll. Darüberhinaus könnten diese Ergebnisse zu einer verbesserten Behandlung des VHF beitragen.",
                "en": "Atrial fibrillation (AF) is the most common arrhythmia tightly associated with an increased morbidity and mortality. Alterations in ion channel function are pivotal for the generation of arrhythmias. Besides the pulmonary veins, the left atrial appendage is increasingly recognized as an important source of focal ectopic activity. This study aims to investigate the role of the pacemaker current If – a potential contributor to ectopic activity, and the inward rectifier potassium current IK1 – a key determinant for a stable resting membrane potential in the generation of abnormal automaticity in AF. Special focus is given to interatrial differences in human AF patients. The experimental results will be implemented in a 3D computational model of the atria in order to assess the contribution of If and IK1 to focal activity in AF. Findings obtained in this study will lead to a better understanding of the mechanisms underlying AF and thereby provide important information for treatment of AF. \r\n\r\n"
            },
            "begin_planned": "2015-09-01T02:00:00+02:00",
            "begin_effective": "2015-09-01T02:00:00+02:00",
            "end_planned": "2017-08-31T02:00:00+02:00",
            "end_effective": "2017-12-31T01:00:00+01:00",
            "assignment": "2015-07-08T16:46:47+02:00",
            "program": 79,
            "subprogram": null,
            "organization": 14011,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": 50615,
            "contact": null,
            "status": 2,
            "research": 5,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                12
            ],
            "funder_projectcode": null,
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "4050-50615-10",
                "4050-50840-12",
                "4050-50966-12",
                "4050-50969-12",
                "4050-50990-12",
                "4050-51592-12"
            ]
        },
        {
            "id": 3401,
            "title": {
                "de": "Nachweis der Machbarkeit von model-basierter kardiovaskulärer Vorhersage ",
                "en": "Proof of Concept of Model-based Cardiovascular Prediction"
            },
            "short": "CARDIOPROOF",
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2014-01-01T01:00:00+01:00",
            "begin_effective": "2013-10-01T02:00:00+02:00",
            "end_planned": "2016-12-31T01:00:00+01:00",
            "end_effective": "2016-12-31T01:00:00+01:00",
            "assignment": "2013-10-10T14:28:05+02:00",
            "program": 24,
            "subprogram": "ICT Call 10 FP7-ICT-2013-10",
            "organization": 14011,
            "category": 10,
            "type": 10,
            "partner_function": 2,
            "manager": 50966,
            "contact": null,
            "status": 2,
            "research": 2,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                10
            ],
            "funder_projectcode": "611232",
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "3401-50966-10"
            ]
        },
        {
            "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": 6323,
            "title": {
                "de": "Semantic Image Segmentation by Deep Active Learning in medical imaging applications",
                "en": "Semantic Image Segmentation by Deep Active Learning in medical imaging applications"
            },
            "short": "SISDAL",
            "url": null,
            "abstract": {
                "de": null,
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