Cross-Condition Digital Biomarkers from Wearable and Smartphone Data: Toward a Unified Framework for Behavioral and Physiological Monitoring in Mental and Neurological Disorders

by jo.dobson@kcl.ac.uk | Dec 3, 2025

Background:Advances in wearable and smartphone technologies have opened new possibilities for continuous, real-world monitoring of health and behaviour. While numerous studies have explored digital biomarkers within specific conditions such as depression or epilepsy,...

A multimodal data-driven approach to sustainable healthcare – leveraging community volunteering support to improve patients’ mental health outcomes

by jo.dobson@kcl.ac.uk | Dec 3, 2025

Background:Volunteering support is increasingly recognised as a valuable public health intervention for improving mental health outcomes, but its broader population-level impact remains under-researched. This project seeks to investigate the effects of volunteering on...

AI-Driven Multimodal Analysis of ECGs for Early Cardiovascular Disease Detection Using UK Biobank and Danish Nationwide ECG Cohort

by luke | Dec 1, 2025

Cardiovascular disease (CVD) remains the leading cause of death worldwide, responsible for more than 170,000 deaths each year in the UK. Although prevention and treatment have improved, detecting early signs of heart disease and identifying those most at risk remain...

Data-Driven Research to co-design Epidermolysis bullosa Skin Solutions (DDRESS)

by luke | Dec 1, 2025

Background People living with Epidermolysis bullosa (EB), a rare inherited life-long condition, experience repeated blistering and non-healing wounds. These individuals face a life in dressings and bandages as there is no cure. To manage these blisters and wounds,...

Quantifying and Predicting Real-World Repetitive Negative Thought

by luke | Dec 1, 2025

1. Background Repetitive negative thought (RNT) patterns, such as worry and rumination, are common and distressing symptoms that are characteristic of mood and anxiety disorders, but present across diagnostic categories. However, despite the obvious clinical...