€ 6 million granted for the 6th Hanarth Fonds call!

The Hanarth Fonds received 65 financing applications and 3 applications for a fellowship during the 2024 call. Following a careful assessment process, it has been determined that in 2025, 13 projects and 3 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 2024 *

Below you will find the research projects that have been granted funding.* Soon you will find a link to the summaries of these research projects as well.

AI for complete pathological response evaluation with image-based machine learning models in esophageal carcinoma: AIFORCE
Suzanne Gisbertz
Amsterdam UMC

Identifying Individuals at High Risk of Melanoma Using Total-Body Photographs: A Deep-Learning Approach
Oleh Dzyubachyk
LUMC

AI for improved prognosis and treatment response prediction using FDG PET/CT in multiple myeloma
Ronald Boellaard
Amsterdam UMC

Utilizing artificial intelligence to segment echo images of tongue cancer intraoperatively, to facilitate radical resection
Baris Karakullukcu
NKI

Artificial-intelligence based prediction of absence of vital retroperitoneal residual disease and teratoma in metastatic germ cell tumors after platinum-based chemotherapy
Britt Suelmann
UMC Utrecht

IDH mutant glioma objective tumor grading application
Youri Hoogstrate
Erasmus MC

Artificial Intelligence for Opportunistic Screening of Pancreatic Cancer on Medical Images
John Hermans
Radboud UMC

Fast and accurate intraoperative reconstruction of brain tracts with AI to optimize efficacy of pediatric posterior fossa tumor surgery
Alberto de Luca
UMC Utrecht

Artificial Intelligence models to improve assessment of peritoneal metastases on imaging
Ignace de Hingh
Maastricht University

IMAGINg-based augmentation for RobotIc-assisted lung Surgery: the IMAGINERS project for automated and intelligent surgical guidance
Amir Hossein Sadeghi
UMC Utrecht

AI-Driven Exploration of the Melanoma Tumor Microenvironment in the Dutch Early Stage Melanoma (D-ESMEL) study
Loes Hollestein
Erasmus MC

Classification of craniofacial bone tumors using deep learning algorithms
Arjen Cleven
UMC Groningen

AIM-CMN = New insights in melanoma in congenital nevi using AI-Morpholomics
Suzanne Pasmans
Erasmus MC

 

Granted fellowships 2024 *

Below you will find the fellowships that have been granted funding.* Soon you will find a link to the summaries of these fellowships as well.

Towards becoming the pathologist of the future
Frédérique Meeuwsen
Radboud UMC

The integration of deep learning for quantitative MRI in clinical and research workflows to personalize treatment of cervical and head and neck cancer
Myrte Wennen
Erasmus MC

Towards virtual biopsies: deep learning in medical imaging for enhanced prostate cancer diagnostics
Eduardo Pais Pooch
NKI

 

* on the condition that the required agreements will be signed between parties