The Champalimaud Foundation is pleased to announce the 5th edition of the international course Pathology Updates 2025, and the 2nd to be hosted by the Foundation, taking place from 15 to 17 September 2025 in the Seminar Room at the Champalimaud Foundation, Lisbon.
Organised in partnership with Mayo Clinic Scottsdale, this course builds on the success of the 2024 edition and continues its mission of offering high-impact, practice-oriented updates in surgical pathology and cytopathology.
Nickolas Papanikolaou, Computational Clinical Imaging Group
Joe Paton, Learning Lab
Carlos Minutti, Immunoregulation Lab
Champalimaud Foundation Auditorium
20 May 2025
The Champalimaud Foundation opens the applications to the 5th edition of the Fundamentals of Medicine Postgratuate Course, a unique course designed for life sciences researchers interested in exploring medical terminology, concepts, and issues, with a focus on fostering collaboration between researchers and medical doctors.
The Hands-on Molecular Tools workshop aims to cover the fundamental principles and standard techniques used in Molecular Biology and will be taught by experts from CF, FCT-UNL and FCUL/cE3c.
This course will incorporate theoretical and practical classes, where the participants will acquire experience on RNA extraction, cDNA synthesis, PCR, restriction enzyme digestion, electrophoresis, plasmid DNA isolation, as well as, bioinformatics analysis and experimental design of a cloning project.
The first edition of the Botton-Champalimaud International Pancreatic Conference, hosted at the prestigious Botton-Champalimaud Pancreatic Cancer Centre, was a landmark event in 2024, bringing together leading experts, researchers, and healthcare professionals from around the world to discuss the latest advancements in pancreatic cancer diagnosis, treatment, and care.
06 May 2025
Analysing these scans can also be time-consuming and complex, as doctors need to pore over countless images, looking for often tiny details.
So, any new imaging analysis technique that is faster and more precise is always welcome: a new paper (recently published in the Journal of Nuclear Medicine) reveals that the Champalimaud Foundation’s Nuclear Medicine-Radiopharmacology Unit has managed just that by using Deep Learning (DL) Artificial Intelligence (AI).