More than € 4 million granted for the third call from Hanarth Fonds!

The Hanarth Fonds received 53 financing applications during the 2021 call. Following a careful assessment process, it has been determined that in 2022, 10 projects and 2 fellowships will be funded by the Hanarth Fonds.

The Scientific Advisory Board (WAR) and expert (international) reviewers have assessed the proposals on criteria such as feasibility and quality of the proposal, the experience of the applicant and whether the application is in accordance with the purpose of the Hanarth Fonds. Based on all assessments, the Hanarth Fonds Board has made a well-considered financing decision.

Granted research projects 2021

Below you will find the research projects that have been granted funding. Here you will also find a link to the summaries of these research projects.

• AutoMatic Brain MRI SegmentaTion using artificial  IntelligenCe to Augment assessment and surgery of maLignant tumors: The MISTICAL project
  Tristan van Doormaal
  UMC Utrecht
  
  
• Genomics-assisted radiomic machine learning-based models to enable patient outcome prediction for personalized treatment in head and neck squamous cell cancer
  Michiel van den Brekel
  NKI
  
  
• Artificial intelligence-based algorithm for high-throughput histological characterisation of the host anti-tumour response in regional lymph nodes from oesophageal cancer patients
  Heike Grabsch
  Maastricht UMC
  
  
• Unmasking the invisible cancer: digital detection of diffuse-type gastric carcinomas    
  Chella van der Post
  Radboudumc
  
  
• Artificial intelligence to improve classification and prognostication of ambiguous melanocytic lesions
  Willeke Blokx
  UMC Utrecht
  
  
• Histogenomic biomarker identification to improve neuroendocrine lung tumor diagnostics on biopsies, using multiplex immunohistochemistry and artificial intelligence-assisted histomorphological classification    
  Anne-Marie Dingemans
  Erasmus MC
  
  
• Improved Transparent AI methods for personalized prediction based on data from rare cancers    
  Marianne Jonker
  Radboudumc
  
  
• Harmonization and segmentation of multicenter paediatric sarcoma MRI data through artificial intelligence to support clinical decision making in international trials
  Alexander Leemans
  UMC Utrecht
  
  
• Multimodal data fusion to guide the development of immunotherapies for uveal melanoma patients  
  Kalijn Bol
  Radboudumc
  
  
• Prediction of Vertebral Collapse using Artificial Intelligence in Multiple Myeloma patients (PreVeCAIMM)
  Kenneth Gilhuijs
  UMC Utrecht
  
  

Granted fellowship 2021

Below you will find the fellowships that have been granted funding. Here you will also find a link to the summaries of these fellowships.

• Multi-input prognostic models for time to resistance prediction
  Liesbeth Hondelink
  Leiden University Medical Center
  
  
• Predicting radiological extranodal extension in oropharyngeal carcinoma patients using AI
  Frank Hoebers
  Maastro