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=620&ordering=-begin_planned
HTTP 200 OK
  Allow: GET, HEAD, OPTIONS
  Content-Type: application/json
  Vary: Accept
  
  {
    "count": 2245,
    "next": "https://api-test.medunigraz.at/v1/research/project/?format=api&limit=20&offset=640&ordering=-begin_planned",
    "previous": "https://api-test.medunigraz.at/v1/research/project/?format=api&limit=20&offset=600&ordering=-begin_planned",
    "results": [
        {
            "id": 7211,
            "title": {
                "de": "Rainbow Researchtool",
                "en": "Rainbow Researchtool"
            },
            "short": null,
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2022-08-01T02:00:00+02:00",
            "begin_effective": "2022-07-01T02:00:00+02:00",
            "end_planned": "2024-07-31T02:00:00+02:00",
            "end_effective": "2024-03-31T01:00:00+01:00",
            "assignment": "2022-10-12T11:11:24+02:00",
            "program": 228,
            "subprogram": null,
            "organization": 14020,
            "category": 10,
            "type": 10,
            "partner_function": 2,
            "manager": 99976,
            "contact": null,
            "status": 2,
            "research": 2,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                416
            ],
            "funder_projectcode": "FO999892745",
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "7211-99976-10"
            ]
        },
        {
            "id": 7177,
            "title": {
                "de": "Control of glutamine metabolism by\r\nE2F transcription factor 1",
                "en": "Control of glutamine metabolism by\r\nE2F transcription factor 1"
            },
            "short": null,
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2022-08-01T02:00:00+02:00",
            "begin_effective": "2022-10-01T02:00:00+02:00",
            "end_planned": "2023-03-31T02:00:00+02:00",
            "end_effective": "2023-05-31T02:00:00+02:00",
            "assignment": "2022-09-22T09:38:11+02:00",
            "program": 69,
            "subprogram": null,
            "organization": 14085,
            "category": 10,
            "type": 10,
            "partner_function": 2,
            "manager": null,
            "contact": null,
            "status": 2,
            "research": 1,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                9
            ],
            "funder_projectcode": "J4597",
            "ethics_committee": null,
            "edudract_number": null,
            "persons": []
        },
        {
            "id": 7086,
            "title": {
                "de": "Piezo1 in der Plazenta verbindet Lipide mit Gefäßfunktion",
                "en": " Piezo1 couples lipids and vascular function in the placenta"
            },
            "short": null,
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2022-07-01T02:00:00+02:00",
            "begin_effective": "2022-08-01T02:00:00+02:00",
            "end_planned": "2025-06-30T02:00:00+02:00",
            "end_effective": "2026-07-31T02:00:00+02:00",
            "assignment": "2022-07-06T10:07:59+02:00",
            "program": 124,
            "subprogram": null,
            "organization": 14064,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": 113634,
            "contact": null,
            "status": 2,
            "research": 1,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                9
            ],
            "funder_projectcode": "ESP 167",
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "7086-50442-12",
                "7086-56938-12",
                "7086-59816-12",
                "7086-100813-12",
                "7086-113409-12",
                "7086-113634-10",
                "7086-114912-12",
                "7086-119149-12",
                "7086-125737-12",
                "7086-130675-12",
                "7086-128676-12"
            ]
        },
        {
            "id": 7206,
            "title": {
                "de": "15-Prostaglandindehydrogenase in acute kidney injury",
                "en": "The involvement of 15-prostaglandindehydrogenase in acute kidney injury"
            },
            "short": null,
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2022-07-01T02:00:00+02:00",
            "begin_effective": "2022-11-01T01:00:00+01:00",
            "end_planned": "2023-06-30T02:00:00+02:00",
            "end_effective": "2024-04-30T02:00:00+02:00",
            "assignment": "2022-10-11T16:22:03+02:00",
            "program": 100,
            "subprogram": null,
            "organization": 14022,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": 85658,
            "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": [
                "7206-85658-10",
                "7206-50132-12",
                "7206-116746-12"
            ]
        },
        {
            "id": 7130,
            "title": {
                "de": "Profiling und funktionelle Analyse des Immun-Environments des extramedullären Leukämierelapses\r\n\r\n",
                "en": "Profiling and functional analysis of the Immune environment of eXtramedullary leukemia rELapses\r\n\r\n"
            },
            "short": "PIXEL",
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2022-07-01T02:00:00+02:00",
            "begin_effective": "2023-02-01T01:00:00+01:00",
            "end_planned": "2025-07-01T02:00:00+02:00",
            "end_effective": "2026-04-30T02:00:00+02:00",
            "assignment": "2022-08-16T10:27:51+02:00",
            "program": 112,
            "subprogram": null,
            "organization": 14082,
            "category": 10,
            "type": 10,
            "partner_function": 1,
            "manager": 57402,
            "contact": null,
            "status": 2,
            "research": 1,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                9
            ],
            "funder_projectcode": "I6101",
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "7130-57402-10",
                "7130-97430-12",
                "7130-118869-12"
            ]
        },
        {
            "id": 7011,
            "title": {
                "de": "Quantitative Susceptibilitätsbildgebung mit Deep Learning",
                "en": "Deep Learning for Quantitative Susceptibility Mapping"
            },
            "short": "deepQSM",
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2022-07-01T02:00:00+02:00",
            "begin_effective": "2022-07-01T02:00:00+02:00",
            "end_planned": "2025-06-30T02:00:00+02:00",
            "end_effective": "2026-06-30T02:00:00+02:00",
            "assignment": "2022-05-10T12:01:20+02:00",
            "program": 72,
            "subprogram": null,
            "organization": 14051,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": 60116,
            "contact": null,
            "status": 2,
            "research": 1,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                9
            ],
            "funder_projectcode": "P 35887",
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "7011-60116-10"
            ]
        },
        {
            "id": 7943,
            "title": {
                "de": "Akupunktur im Rahmen eines multidisziplinären Therapiekonzeptes für Vulvodynie und Chronische Unterbauchschmerzen \r\nEine randomisierte klinische Studie",
                "en": "Acupuncture in a multidisciplinary approach for vulvodynia and chronic pelvic pain\r\nA randomised controlled clinical study\r\n"
            },
            "short": "AMALIA Studie",
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2022-06-20T02:00:00+02:00",
            "begin_effective": "2022-06-20T02:00:00+02:00",
            "end_planned": "2025-12-31T01:00:00+01:00",
            "end_effective": "2025-12-31T01:00:00+01:00",
            "assignment": "2023-12-19T15:51:20+01:00",
            "program": null,
            "subprogram": null,
            "organization": 14063,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": 50853,
            "contact": null,
            "status": 2,
            "research": 2,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [],
            "funder_projectcode": null,
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "7943-50853-10"
            ]
        },
        {
            "id": 7834,
            "title": {
                "de": "COST: EUropean network to tackle METAbolic alterations in HEART failure",
                "en": "COST: EUropean network to tackle METAbolic alterations in HEART failure"
            },
            "short": "EU-METAHEART",
            "url": null,
            "abstract": {
                "de": "Die COST-Aktion \"EUropean network to tackle METAbolic alterations in HEART failure\" (EUMETAHEART) wird exzellente Forscher aus Europa zusammenbringen, die ein breites Spektrum an wissenschaftlichem Fachwissen, Spitzentechnologien, wissenschaftlichem Austausch und Ausbildung einbringen, um bahnbrechende wissenschaftliche Erkenntnisse zu fördern, die die Behandlung von Patienten mit Herzinsuffizienz voranbringen. Durch die gemeinsame Nutzung verschiedener Fachkenntnisse, die nicht nur konventionelle Analysen des Stoffwechsels und der mitochondrialen Funktion umfassen, sondern auch omics-basierte Ansätze zur Genetik, Epigenetik und zum Stoffwechsel und insbesondere die integrierte Bewertung der Erregungs-Kontraktions-Kopplung mit der mitochondrialen Redox-Kontrolle und Energetik sowie fortschrittliche In-vivo-Bildgebungstechnologien. Die Neuheit dieser COST-Aktion besteht darin, dass sie die Entwicklung eines umfassenden und innovativen Ansatzes für ein tieferes Verständnis der metabolischen Dysfunktion bei Herzinsuffizienz ermöglichen wird. ",
                "en": "The COST Action “EUropean network to tackle METAbolic alterations in HEART failure” (EUMETAHEART) will bring together excellent researchers from Europe to contribute a broad spectrum of scientific expertise, cutting-edge technologies, scientific exchange and education to foster breakthrough science that moves the field forward towards improving the treatment of patients with heart failure. By sharing diverse expertise that cover not only conventional analyses of metabolism and mitochondrial function, but also omics-based approaches towards genetics, epigenetics and metabolism and in particular, integrated assessment of excitation-contraction coupling with mitochondrial redox control and energetics, as well as advanced in vivo imaging technologies, the novelty of this COST Action is that it will allow to develop a comprehensive and cutting-edge approach towards deeper understanding of metabolic dysfunction in heart failure. \r\n"
            },
            "begin_planned": "2022-06-01T02:00:00+02:00",
            "begin_effective": "2023-10-18T02:00:00+02:00",
            "end_planned": "2026-05-30T02:00:00+02:00",
            "end_effective": "2027-10-17T02:00:00+02:00",
            "assignment": "2023-10-18T11:46:40+02:00",
            "program": 22,
            "subprogram": null,
            "organization": 14083,
            "category": 10,
            "type": 10,
            "partner_function": 2,
            "manager": 60041,
            "contact": null,
            "status": 2,
            "research": 5,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                10
            ],
            "funder_projectcode": "COST Action: CA22169 ",
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "7834-60041-10",
                "7834-108412-12",
                "7834-125154-12"
            ]
        },
        {
            "id": 7740,
            "title": {
                "de": "Präzisionskardiologie basierend auf Digitalen Zwillingen",
                "en": "Precision Cardiology based on Digital Twins"
            },
            "short": "CardioTwin",
            "url": null,
            "abstract": {
                "de": "Herz-Kreislauf-Erkrankungen werden häufig mit implantierbaren medizinischen Geräten wie Herzschrittmacher oder Defibrillatoren therapiert. Für optimale Therapierfolge muss deren Wirksamkeit aber stetig verbessert werden, indem diese präziser an das Krankheitsbild eines jeweiligen Patienten angepasst werden. Die große Herausforderung bei der Umsetzung von solchen personalisierten Präzisionstherapien besteht darin diese Geräte optimal maßgeschneidert zu implantieren und einzustellen. Eine vielversprechende Möglichkeit dafür bieten virtuelle Herztechnologien, die Anatomie und elektrisches Verhalten eines Patientenherzens physikalisch detailliert simulieren können. Derartige aus Patientendaten konstruierte Computermodelle, die elektrische Vorgänge im Herzen eines Patienten exakt nachbilden können, werden als digitale Zwillinge bezeichnet. Um diese effektiv für die Optimierung von Therapien einsetzen zu können müssen aber bestehende Probleme in der Kalibrierung mit Patientendaten gelöst werden, und die Zuverlässigkeit von Vorhersagen muss nachgewiesen werden.\r\n\r\nDas Forschungsziel besteht darin, die Grundlagen für eine Virtuelle-Herz-Technologie zu schaffen, die in der Lage ist aus klinischen nicht-invasiven Bild- und Messdaten automatisiert mechanistische digitale Zwillingsmodelle zu erstellen, die das elektrische Verhalten der Ventrikel (Hauptkammern) genau abbilden. Diese Herzzwillinge werden mit einem personalisierten Modell des ventrikulären Reizleitungssystems ausgestattet, das es ermöglicht das Elektrokardiogramm (EKG) des normalen Herzschlags zu simulieren und auch das EKG bei Schrittmachertherapien vorherzusagen.\r\n\r\nDazu werden automatisierte Arbeitsabläufe zur Erzeugung von anatomischen Zwillingsmodellen aus Bilddaten, ein echtzeit-fähiges biophysikalisch detailliertes EKG-Modell, Methoden zur Quantifizierung des Einflusses von Beobachtungsunsicherheiten und Techniken zur Identifizierung von Modellparametern entwickelt. Diese Technologien werden zur Erstellung und Kalibrierung von digitalen Zwillingen eingesetzt, die drei verschiedene Patientengruppen repräsentieren – gesunde Probanden, Patienten, die unter infarktbedingten ventrikulären Tachykardien leiden und mittels Ablation therapiert werden, und Patienten mit Reizleitungsstörungen, die mittels Re-synchronisationstherapie behandelt werden. Die dadurch gebildeten virtuellen Kohorten werden validiert, und deren Vorhersagekraft evaluiert. Die Methoden zur Quantifizierung werden eine Abschätzung ermöglichen, mit welcher Wahrscheinlichkeit den Modellvorhersagen vertraut werden kann.\r\n\r\nDie Hauptinnovation des Projekts besteht in der Entwicklung eines systematischen und automatisierten Ansatzes zur Erzeugung von elektrischen Herzmodellen aus klinischen Daten. Die Leistungsfähigkeit der entwickelten Technologie hinsichtlich Personalisierung der elektrischen Herzfunktion und der Vorhersage therapeutischer Effekte soll demonstriert werden. In Kombination mit einer Abschätzung der Vorhersageunsicherheiten soll die Glaubwürdigkeit von digitalen Herzzwillingen nachgewiesen werden, um damit die Grundlage für den Einsatz von simulations-basierten digitalen Zwillingen als wichtiges Werkzeug der Präzisionskardiologie zu legen. Diese Technologien werden auch eine Schlüsselrolle in der zukünftigen Entwicklung medizinischer Geräte in der Industrie spielen, da die Notwendigkeit von Tierexperimenten und klinischen Studien reduziert wird, und somit Therapien wesentlich schneller und kostengünstiger entwickelt werden können.\r\n",
                "en": "Cardiovascular diseases are often treated with implantable medical devices such as pacemakers or defibrillators. For optimal therapeutic success with these devices, it's essential to customize their implantation and settings to provide the best treatment outcome for a specific patient. A promising approach to achieve these personalized precision therapies is through the use of virtual heart technologies (VHTs). These are computer models that can simulate the anatomy and electrical behavior of the heart in great detail. When VHTs are personalized and constructed using data from an individual, referred to as a \"digital twin,\" they can accurately replicate the electrical events in that patient's heart. However, to effectively utilize VHTs for therapy optimization in cardiovascular diseases, we must address existing calibration issues with patient data and ensure the reliability of predictions.\r\n\r\nOur research goal is to establish a workflow to automatically create mechanistic digital twins using non-invasive clinical image and measurement data. These twins would accurately represent the electrical behavior of the ventricles, the main chambers of the heart. The digital twins will be equipped with a personalized model of the ventricular conduction system, allowing them to replicate a normal heartbeat and therefore be specifically helpful for pacemaker therapies.\r\n\r\nFor this purpose, we aim to develop automated workflows for VHTs in the form of digital twins from clinical data. The workflows include a real-time capable biophysically detailed ECG model, methods to quantify modeling uncertainties, and techniques to identify patient-specific model parameters. Resultant VHTs will be used to create and calibrate digital twins representing three different patient groups: healthy subjects, patients suffering from infarct-related ventricular tachycardias who are treated with ablation, and patients with conduction disorders treated with resynchronization therapy. We will validate these virtual cohorts and evaluate their ability to optimize therapeutic outcomes. Our quantification methods will estimate the probability with which treatment predictions from the VHTs can be trusted.\r\n\r\nThe main innovation of this project is the novel workflow for generating personalized VHTs from clinical data. We aim to demonstrate the effectiveness of the digital twins in personalizing the electrical function of the heart and predicting therapeutic effects. We also intend to prove the credibility of these VHTs, laying the groundwork for simulation-based digital twins as crucial tools in precision cardiology. These technologies are expected to play a significant role in the future development of medical devices.\r\n"
            },
            "begin_planned": "2022-06-01T02:00:00+02:00",
            "begin_effective": "2022-06-01T02:00:00+02:00",
            "end_planned": "2025-05-31T02:00:00+02:00",
            "end_effective": "2027-03-14T01:00:00+01:00",
            "assignment": "2023-08-31T16:07:34+02:00",
            "program": 111,
            "subprogram": null,
            "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": [
                9
            ],
            "funder_projectcode": "I 6540",
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "7740-50966-10",
                "7740-96212-12",
                "7740-98304-12",
                "7740-50967-12"
            ]
        },
        {
            "id": 7059,
            "title": {
                "de": "Erforschung neuer Anti-Aging Strategien",
                "en": "Investigating novel anti-aging strategies "
            },
            "short": null,
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2022-06-01T02:00:00+02:00",
            "begin_effective": "2022-06-01T02:00:00+02:00",
            "end_planned": "2022-10-30T02:00:00+02:00",
            "end_effective": "2022-12-31T01:00:00+01:00",
            "assignment": "2022-06-15T10:55:31+02:00",
            "program": null,
            "subprogram": null,
            "organization": 14013,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": 85069,
            "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": [
                "7059-85069-10"
            ]
        },
        {
            "id": 6836,
            "title": {
                "de": "Erforschung zellulärer Mechanismen der progredienten Multiplen Sklerose mit Hilfe eines experimentellen Rattenmodells.",
                "en": "Exploration of cellular mechanisms behind progressive multiple sclerosis via an experimental rat model."
            },
            "short": null,
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2022-06-01T02:00:00+02:00",
            "begin_effective": "2022-01-01T01:00:00+01:00",
            "end_planned": "2023-04-01T02:00:00+02:00",
            "end_effective": "2023-12-31T01:00:00+01:00",
            "assignment": "2021-12-15T10:42:21+01:00",
            "program": null,
            "subprogram": null,
            "organization": 14051,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": 70759,
            "contact": null,
            "status": 2,
            "research": 1,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                1743
            ],
            "funder_projectcode": "MEFO-68",
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
                "6836-70759-10"
            ]
        },
        {
            "id": 7237,
            "title": {
                "de": "Effekte von computer-basierten kognitiven Trainings auf Patient:innen mit einer Depression",
                "en": "Effects of computer-based cognitive Training for patients with depression"
            },
            "short": null,
            "url": null,
            "abstract": {
                "de": null,
                "en": null
            },
            "begin_planned": "2022-06-01T02:00:00+02:00",
            "begin_effective": "2022-09-01T02:00:00+02:00",
            "end_planned": "2024-06-01T02:00:00+02:00",
            "end_effective": "2025-01-01T01:00:00+01:00",
            "assignment": "2022-10-31T12:54:56+01:00",
            "program": null,
            "subprogram": null,
            "organization": 29444,
            "category": 10,
            "type": 10,
            "partner_function": 4,
            "manager": 99971,
            "contact": null,
            "status": 2,
            "research": 2,
            "grant": 10,
            "event": null,
            "study": null,
            "language": null,
            "funders": [
                2471
            ],
            "funder_projectcode": null,
            "ethics_committee": null,
            "edudract_number": null,
            "persons": [
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