Uncategorised - European Medical Journal

Person holding a probe for an ultrasound/elasograpghy machine

Elastography Could Aid Liver Fibrosis Detection in Thalassaemia

Transient elastography combined with biomarker scores may aid non-invasive liver fibrosis detection in thalassaemia.

young man with testicular cancer

How Specialized Centers Transform Modern Testicular Cancer Care

Centralized expertise optimizes clinical outcomes for patients receiving advanced testicular cancer care across all disease stages.

Hand wearing blue latex glove selects a blood sample from a collection of vials.

Immune Endotyping Enables Risk Stratification in T2D: EASD 2026

Immune-based endotyping using routine blood counts identified four clinically meaningful T2D subgroups with distinct risks and therapeutic potential.

The Next Era of Breast Cancer Care: Penny Kechagioglou

Breast cancer is an evolving field in medicine, with new research in the discovery of chemotherapeutic and radio-isotopic treatments…

First-Line Conventional Therapies in RA

This interactive webinar brings together leading international rheumatology experts to explore best practices in first-line therapy for…

ESC 2026 Interview: Ruth Frikke-Schmidt

It is always a great pleasure to be here with so many colleagues, friends, and experts gathered in one place. I also really enjoy seeing…

30 Sep 2026

Case by Case: Where Phototherapy Fits

Three patient cases in vitiligo, pediatric atopic dermatitis, and psoriasis explore where NB-UVB phototherapy may fit in the treatment…

ESC 2026 Interview: Maria Rubini

I think the new guidelines were probably the biggest headline of all. For example, in the heart failure guidelines, we had very important…

Woman who is sick with COVID-19 lays on a sofa with a blanket sneezing into a tissue

Shionogi’s wins EU approval for COVID-19 post-exposure prophylaxis

Zokovea is the first oral antiviral approved in the EU to prevent symptomatic COVID-19 after exposure.

Machine Learning Predicts Delirium After Cardiac Surgery

Machine learning models accurately predicted postoperative delirium in patients undergoing cardiac surgery, while clustering analysis identified distinct patient subgroups with substantially different delirium burdens.