ada.enesco, Author at European Medical Journal - Page 12 of 65

remote monitoring

ERS 2025: Remote Monitoring Improves Asthma Outcomes for Children

A multicentre study presented at ERS Congress 2025 found that remote monitoring reduced hospital visits and improved asthma control in children, strengthening the case for digital health in routine asthma care.

ERS 2025: Fruit-Rich Diet May Protect Lungs From Air Pollution

A UK Biobank analysis presented at ERS Congress 2025 found that higher fruit intake reduced the negative effects of fine particulate air pollution on lung function, particularly in women.

3D liver tumour

Low-Molecular-Weight Fucoidan in Hepatocellular Carcinoma

Recent research has investigated whether low-molecular-weight fucoidan, a compound derived from brown seaweed, could enhance the efficacy of TACE.

ERS 2025: Dog Allergen Exposure in Infancy Lowers Childhood Asthma Risk

The CHILD study analysis found that early exposure to higher levels of dog allergen reduced asthma risk and improved lung function at age 5, with effects modified by genetic background.

African baby

Preterm Birth Linked to Higher Malaria Risk in Children

A Mali cohort study shows preterm birth elevates malaria infection risk in children, particularly in multigravid mothers without pregnancy malaria, suggesting targeted prevention and vaccination strategies.

hands with hyaluronic acid

Plant-Based Collagen Alternative for Skin Rejuvenation

In a randomised, placebo-controlled trial, researchers evaluated VC-H1, a hibiscus enzyme extract, as an oral plant-based collagen alternative for photoaged skin.

robotic bronchoscopy

ERS 2025: Robotic Bronchoscopy Redefines Early Lung Cancer Diagnosis

Robotic-assisted bronchoscopy with cone-beam CT achieved far higher diagnostic yields than conventional bronchoscopy, particularly for small and ground-glass lesions, offering a powerful new tool for early lung cancer diagnosis.

Neoadjuvant Chemotherapy Improves Survival in MIBC

nalysis of the BLADDA urothelial cancer registry demonstrated that neoadjuvant chemotherapy was associated with reduced risk of invasive bladder cancer recurrence.

Machine Learning Aids Diagnosis of Interstitial Pneumonia

A machine learning model combining CT radiomics with clinical data has shown accuracy comparable to experienced pulmonologists in diagnosing usual interstitial pneumonia and predicting survival outcomes.

Deep Learning Model Boosts Accuracy of CT Lung Screening

A deep learning algorithm has shown promise in improving the risk assessment of lung nodules on CT scans, potentially reducing false positives in lung cancer screening.