Editorial by Prof Nikolaos Papanikolaou, Scientific manager of the ProCAncer-I project ProCAncer-I is a collaborative project that combines the efforts of 20 clinical and technical partners in Europe and US. The focus is to collect the biggest in size, diverse dataset...
Newsletter #3
UC2: Characterization of cancer according to its biological aggressiveness
Βy Prof. Daniele Regge, Chief of the Radiology Unit, Candiolo Cancer Institute Patients diagnosed with localised prostate cancer (PCa) are classified in different risk groups, i.e. low, intermediate or high risk, and this choice will affect treatment and...
The Annotation tool
by Quibim Quibim set out to transform prostate diagnosis and monitoring by developing a new non-invasive imaging tool using MRI data and advanced computer models to investigate the prostate anatomy in extreme detail. The company has developed AI algorithms for...
Curating the data curation tool
by Advantis Medical Imaging Curating datasets is not an easy task. On the contrary, it can bring about hard-to-solve problems and lead to open-ended discussions, until a satisfactory solution is found. In ProCAncer-I, the curation of medical images has been a...
The largest collection of PCa multi-parametric anonymized image data worldwide
Interview with Prof Luis Martí-Bonmatí. Director of the Clinical Area of Medical Imaging Department at La Fe Polytechnic and University Hospital and Head of Radiology Department at QuironSalud Hospital in Valencia In ProCAncer-I you advertise that the platform that...
Advisory Board
Prof. Vincenzo Valentini is Professor of Radiation Oncology at the Faculty of Medicine of the Università Cattolica S.Cuore in Rome and Director of the Department of Radiology, Radiation Oncology and Haematology at the Policlinico Universitario A.Gemelli-IRCCS in Rome....
Presentation of partner QUIBIM, QUantitative Imaging Biomarkers In Medicine
Quibim is the go-to imaging partner bringing virtual biopsies to diagnostics and drug discovery. By following an AI-first approach to help detect pathologies and predict outcomes in oncology/immunotherapy, rheumatology and neurology. The company is specialized in...
Presentation of partner University of Pisa – The Imaging Lab
The University of Pisa is an Italian public research university located in Pisa, Italy. It was founded in 1343 by an edict of Pope Clement VI. It is the 19th oldest extant university in the world and the 10th oldest in Italy. The university is ranked within the top 10...
Presentation of partner Hacettepe University – Department of Radiology
The Radiology Department of the Hacettepe University is located in Ankara, Turkey. With decades of experience, all radiologic imaging procedures as well as interventional radiology services in scope of modern medicine are performed by the experienced and specialized...
Newsletter #3 Contents
Highlights

Podcast Spotlight: The Future of Trustworthy AI in Healthcare
Mar 5, 2025
The role of artificial intelligence (AI) in healthcare is expanding rapidly, but trust remains a crucial barrier to its widespread adoption. The following AI-generated audio file, titled, serves as an example of how AI-driven technologies can contribute to medical research and education.

Dissemination Event of the ProCAncer-I Project in Vienna, Austria
Mar 5, 2025
ProCAncer-I organised the 4th Dissemination Event of the project at the ECR 2025 held in Vienna, Austria, February 25-26, 2025. During the congress, ProCAncer-I organised a Dedicated Session on the project on the 26th of February 2025, at 15.00-16.00, with the title...

The brand effect: how different MRI machines trip up AI
Feb 7, 2025
Prostate cancer can vary greatly in how aggressive it is, and knowing this in advance helps doctors decide the best course of treatment. Magnetic resonance imaging (MRI) is often used to detect prostate cancer, but figuring out just how aggressive the cancer is...

Dissemination Event of the ProCAncer-I Project in Vienna
Feb 7, 2025
We are delighted to invite you to our session, “ProCAncer-I: An AI Platform Integrating Multiparametric MRI and AI Models”, at the European Congress of Radiology (ECR) 2025. Date: 26 February 2025 Time: 15:00 – 16:00 Location: ECR 2025, Vienna, Austria (conference...