€ 5.9 million granted for the 7th Hanarth Fonds call!

The Hanarth Fonds received 79 financing applications and 10 applications for a Fellowship during the 2025 call. Following a careful assessment process, it has been determined that in 2026, 11 research 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 2025

Below you will find the research projects that have been granted funding. 

AI-Powered Point-of-Care Ultrasound for Early Breast Cancer Detection in Primary Care
Behdad Dasht Bozorg
NKI

BONE-CLASS - Bone Tumor Classification with Multimodal Deep Learning
Suk Wai Lam
LUMC

Identification of inaccurate retroperitoneal sarcoma delineations to reduce the risk of local failure
Tomas Janssen
NKI

Identification of (ultra-)rare functional non-coding somatic mutations in cancer using sequence-based deep learning models
Lude Franke
UMC Groningen

AI-based lymph node-specific risk stratification: A clinical decision tool for reducing post-chemoradiotherapy salvage complications in head and neck cancer
Lisanne van Dijk
UMC Groningen

HAIPPY - Hyperfast AI-based intra-operative treatment Plan Preparation in gYnecological brachytherapy
Linda Rossi
Erasmus MC

Computationally designed peptide-based probes: Artificial intelligence-enhanced targeting of pancreatic cancer biomarkers for tumor visualization to support diagnosis and surgery (AI-PEP)
Alexander Vahrmeijer
LUMC

FAIR-CARE: From AI-powered symptom networks to Relief in CAncer Related fatiguE
Linda Douw
Amsterdam UMC

Reducing Imaging-Associated Radiation Dose in Childhood Cancer to Minimize the Risk of Secondary Cancer Later in Life
Oleksandra Ivashchenko
UMC Groningen

The AERO study: AI Enhanced Radiotherapy Optimization for Personalized Functional Lung Avoidance
Hilâl Tekatli
UMC Utrecht

Explainable Foundation Model-Driven Prognostic Modeling in High-Grade Serous and Rare Ovarian Cancers for Personalized Treatment
Philippe Lambin
Maastricht University

 

Granted Fellowships 2025

Below you will find the Fellowships that have been granted funding.

 

Implementation and Impact Assessment of Artificial Intelligence for Diagnostic Pathology
Ruben Lucassen
UMC Utrecht / TU Eindhoven

Integration of AI-assisted tools into clinical practice to enhance imaging-based evaluation of periampullary and peritoneal cancers
Lotte Fleurkens-Ewals
Catharina ziekenhuis Eindhoven