On the 6th of September, PANCAIM had its first of three review meetings with the European Commission and appointed external experts to assess the progress of the project. The consortium members presented the progress and achievements of the first 1.5 years of the project, but also addressed challenges encountered, risks identified and mitigation strategies.
PANCAIM partner UoG has opened a call for applications for a research associate position (postdoc) within the PANCAIM project. The... View Article
PANCAIM partner University of Glasgow is recruiting! UoG is looking for a PhD student to join the research efforts in... View Article
Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest cancers worldwide, associated with a 98% loss of life expectancy. Image-based... View Article
PANCAIM is proud to co-host the 3-Day Meet The Expert International Course "Pathology of the Exocrine Pancreas – Of Men and Mice" taking place at the Spanish National Cancer Research Center (CNIO) in Madrid from 1st-3rd December 202
Henkjan Huisman, PANCAIM coordinator will present an AI update of the EU-funded Pancaim project at the weekly discussion hour of... View Article
From 16-17 June 2022, PANCAIM partners met in Nijmegen for the project 18-month consortium meeting. It was the first in-person meeting of the project, and a much-appreciated opportunity to talk not only online via MS teams but also over a coffee and local sweets.
PANCAIM team members Evangelina López de Maturana and Sergio Sabroso from the Spanish National Cancer Research Centre (CNIO) represented PANCAIM at the European Mathematical Genetics Meeting 2022 (EMGM) in Cambridge from 21-22 April 2022.
The projet’s approach to pancreatic cancer Pancreatic cancer is responsible for over 95,000 EU deaths every year, and life expectancy... View Article
The Team from the PANCAIM coordinator, Radboud University Medical Center (RUMC) - Department of Medical Imaging, has published the first scientific article developed within the project: "Fully Automatic Deep Learning Framework for PDAC Detection on Computed Tomography".