Uncategorised - European Medical Journal

Extra Scans Triple Breast Cancer Detection Rate

Abbreviated MRI and contrast-enhanced mammography are more effective than ultrasound for cancer detection in women with dense breasts.

CT Screening Finds Key Signs of Cancer in Lung Cysts

New research shows cystic lung lesions with wall thickening carry a higher cancer risk, though most grow slowly.

One in Three Diabetic Patients May Develop Delirium

Diabetes significantly raises the risk of delirium, but metformin and intranasal insulin may offer protective effects.

Penicillin Allergy Misdiagnosis Corrected Through Direct Testing

This study is especially important because existing diagnostic methods, including skin testing, have shown limited sensitivity.

Bariatric Surgery Alters Fibrinogen Profiles in MASLD

A recent study investigated how different naturally occurring fibrinogen variants relate to obesity, MASLD, and liver fibrosis severity.

ESMO Breast Cancer 2025: Taxane Chemotherapy Boosts Survival in Advanced Breast Cancer

A recent multi-centre study reveals taxane-based chemotherapy is linked to markedly better one-year survival in advanced triple-negative breast cancer with genomic instability, compared to platinum-based treatments.

Early Heart Risks After Stem Cell Transplant Revealed

A new study sheds light on the hidden cardiovascular risks lurking in the critical first 100 days following allogeneic hematopoietic stem cell transplantation (HSCT).

CT Scan Radiation May Lead to Thousands of Future Cancers

A new study has projected that radiation exposure from computed tomography (CT) scans in the United States will result in approximately 103,000 future cancers.

Paediatric HIV Study Backs New Second-Line Antiretroviral Therapy

A new study provides strong evidence supporting the use of dolutegravir and TAF-emtricitabine for second-line antiretroviral therapy in children.

Can AI Predict Stroke Complications Before They Strike?

In a breakthrough meta-analysis designed for clinicians and healthcare professionals, machine learning tools have shown promising accuracy in predicting hemorrhagic transformation (HT) in patients with acute ischemic stroke (AIS).