D-Lab
DuCAT, Dutch Network of Computer Assisted Theragnostics
Grant # 10696
Period: 2014-2019
Project coordinator: Prof. Dr. Philippe Lambin
Sum awarded: 1.289k€
Funded by: STW
Non-invasive STRatification of Tissue heterogeneity of personalized medicine – (Radiomics STRaTegy)
Grant: P14-19, 2.1: 14931
Period: 2016-2021
Program leader: Philippe Lambin; Project coordinator 2.1: Philippe Lambin
Sum awarded: k€1.476 for the program
Funded by: STW
A new era in personalised medicine: Radiomics as decision support tool for diagnostics and theragnostics in oncology (PREDICT)
Grant: 766276
Period: 2017-2021
Project coordinator: Philippe Lambin
Sum awarded: €1.044.267 (UM)
Funded by: EU. Marie Curie ITN
Imaging-based Big Data for decision support systems for cancer: productization and sustainable
research and development of Radiomics products (EURADIOMICS) www.euradiomics.com
Grant: 30943400N
Period: 2017 – 2021
Project coordinator: Philippe Lambin
Sum awarded: €176.782
Funded by: Interreg
A novel multifactorial biomarker-based Companion Predictive Model for
hypoxia-activated prodrugs (COMPACT)
Grant: 18106
Period: 2018 – 2021
Project coordinator: Philippe Lambin
Sum awarded: €182.750
Funded by: EuroSTARS
Validation of multiparametric models and Circulating and imaging biomarkers to improve Lung cancer EARLY detection (CLEARLY)
Grant: UM2017-8295
Period: 2018 – 2021
Project coordinator: Philippe Lambin
Sum awarded: €300.000
Funded by: TRANSCAN, KWF (national)
Quantitative Neuro-Imaging with Radiomics and Deep Learning in two main neurological diseases: Multiple Sclerosis and Stroke (QUANTIM)
Grant: –
Period: 2018 – 2022
Project coordinator: Philippe Lambin, Eric Salmon
Sum awarded: PhD student
Funded by: Imaging Valley (UM-ULiege)
Quantitative Imaging in nuclear medicine with Deep Learning: applications to bone and liver (DEEP-NUCLE)
Grant: –
Period: 2018 – 2022
Project coordinator: Felix Mottaghy, Philippe Lambin, Roland Hustinx
Sum awarded: PhD student
Funded by: Imaging Valley (UM-ULiege)
Preventing unnecessary surgery by distinguishing benign from malignant renal cystic lesions in CT images: A quantitative imaging approach
Grant: 12085
Period: 2019 – 2020
Project coordinator: Henry Woodruff
Sum awarded: k€150
Funded by: KWF kankerbestrijding
Short term changes in “Radiomic” features predict long-term treatment effectiveness
Grant: 19-1040MS
Period: 2019 – 2020
Project coordinator: Phlippe Lambin
Sum awarded: k€60
Funded by: Stichting MS Research
The application of deep learning in contrast enhanced mammography: towards a virtual breast biopsy DEEP-MAM
Grant: 12931
Period: 2019 – 2022
Project coordinator: Philippe Lambin
Sum awarded: k€125
Funded by: EU Eurostars
RadioVal International Clinical Validation of Radiomics Artificial Intelligence for Breast Cancer Treatment Planning.
Period: 1-9-2022 until 31-08-2026
Project coordinator: Prof.Dr. Philippe Lambin
Sum awarded: €408.125
Funded by: EU
https://cordis.europa.eu/project/id/101057699
AIDAVA. AI powered Data Curation & Publishing Virtual Assistant.
Period: 1-9-2022 until 1-9-2026
Project coordinator: Prof.Dr. Philippe Lambin
Sum awarded: € 203.530
Funded by: EU
EUCAIM European Federation for Cancer Images.
Period: (1-1-2023 until 31-12-2026)
Project coordinator: Prof.Dr. Philippe Lambin
Sum awarded: €202.123
Funded by: EU
https://digital-strategy.ec.europa.eu/nl/policies/cancer-imaging
REALM Real-world-data Enabled Assessment for heaLth regulatory decision-Making.
Period: 1-1-2023 until 31-12-2026
Project coordinator: Prof.Dr. Philippe Lambin
Sum awarded: €631.875
Awarded by: EU
https://cordis.europa.eu/project/id/101095435
KWF KidnAI
Period: 1-6-2022 31-5-2026
Project coordinator: Dr. Henry Woodruff
Sum awarded: 605.281 €
Awarded by: KWF
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PhD Grant: Improving the care of people with multiple sclerosis by introducing “RADIOMICS” and “EPOMICS”. PhD Grant: Development of deep learning and radiomics techniques for contrast enhanced mammography: in silico testing with synthetic images to encompass less common cancer subtypes Photodynamic therapy triggered by spectral scanner CT: an efficient tool for cancer treatment AutoDistinct 957565: A fully automated deep learning-based software for fast, robust and accurate detection and A European Cancer Image Platform Linked DRAGON: The RapiD and SecuRe AI enhAnced DiaGnosis, Precision Medicine and Patient EmpOwerment Centered Decision iCOVID: AI-based chest CT analysis enabling rapid COVID diagnosis and prognosis Exploiting recombinant Clostridium for precise delivery of immnotherapeutics |
M-Lab
“Exploiting recombinant Clostridium for precise delivery of immunotherapeutic to solid tumours”
Grant: # KWF grant 13056
Period: 2020-2024
Project leader: Prof. Dr. Philippe Lambin
Principal Investigators (alphabetical order): Tom Bailey, Ludwig Dubois, Jan Theys
Sum awarded: 686,297.90€
Funded by: KWF Kanker Bestrijding
Exploiting intratumour heterogenety with heterogeneous irradiation
Grant # –
Period: 2013-2017
Project coordinator: Prof. Dr. Philippe Lambin
Sum awarded: 320k€
Funded by: KOFL (kankeronderzoek fonds Limburg)
Radiation Innovations for Therapy and Education (RADIATE)
Grant # 642623
Period: 2014-2018
Project coordinator: International network, Maastricht Prof. Dr. Philippe Lambin
Sum awarded: 510k€
Funded by: EU H2020
Mitochondrial genetics for the prediction of radiotherapy-induced lung toxicity risk: a prospective multicentre and mechanistic study
Grant: UM2015-7635
Period: 2015-2019
Project coordinator: Cary Oberije
Sum awarded: k€572
Funded by: KWF kankerbestrijding
Form men to mice and back again – completing a 60 year innovation cycle with “armed”clostridia as safe and specific weapons to fight cancer
Grant: UM2015-8025
Period: 2016-2022
Project coordinator: Jan Theys, Ludwig Dubois, Philippe Lambin
Sum awarded: k€2.085
Funded by: KWF kankerbestrijding
Tackling the Achilles Heel of Immunotherapy: Validating imaging biomarkers and targeting the immunological niche of tumour hypoxia (HYPOXIMMUNO)
Grant: 694812
Period: 2016-2021
Project coordinator: Philippe Lambin
Sum awarded: k€2.499
Funded by: EU, ERC advanced
Clinical proof of concept through a randomised phase II study: a combination of immunotherapy and stereotactic ablative radiotherapy as a curative treatment for limited metastatic lung cancer (IMMUNOSABR)
Grant: 733008
Period: 2017- 2022
Project coordinator: Philippe Lambin
Sum awarded: k€5,994
Funded by: H2020, EU
Trojan horses against cancer: the use of harmless clostridia bacteria to continuously produce immunomodulatory anti-cancer agents specifically within the tumor (TROJAN HORSES)
Grant: 11163
Period: 2018 – 2020
Project coordinator: Philippe Lambin
Sum awarded: €152.042 (at AzM)
Funded by: KWF
Commercial feasibility of non-pathogenic Clostridium-Mediated Cancer Immunotherapy: leveraging the presence of tumour hypoxia & necrosis (CL-IO)
Grant: 813200
Period: 2018 – 2020
Project coordinator: Philippe Lambin
Sum awarded: k€150
Funded by: EU, ERC – PoC
Is charged particle radiation more immunogenic than standard photon therapy? A preclinical study’
Grant: 11965
Period: 2020-2021
Project coordinator: Ala Yaromina
Sum awarded: k€150
Funded by: KWF kankerbestrijding
ReverseTheAdvantage
Reversing the advantage of cancers with Hypoxia and Homologous Recombination Defect (HRD) by using a pan-cancer, composite, lesions-specific biomarker.
Period: 1-8-2022 until 31-12024
Project coordinator: Prof. Dr. Philippe Lambin
Sum awarded: 150.000 €
Funded by: EU