This systematic review synthesized 61 dynamically tailored eHealth interventions for chronic disease management from 117 papers. Tailoring strategies varied in scope and complexity, with most targeting physical activity (87%) and nutrition (43%), while nearly…
Continue Reading
Kidney transplantation offers life-extending treatment for patients with end-stage renal disease, yet long-term risks of graft loss and death persist. Traditional prediction models using only baseline data often fail to capture patients’ evolving health…
Continue Reading
Rare diseases affect over 300 million people worldwide and pose unique research challenges. In silico approaches, such as mechanistic models, machine learning, and simulations, offer scalable tools for disease characterisation, drug discovery, and virtual…
Continue Reading
Grace Gimson, chief executive and co-founder of Holly Health (Credit: Holly Health)
A project involving an app from digital health coaching service Holly Health has improved digital self-management for people living with or at…
Continue Reading
Grade 2 subclinical hypothyroidism (G2SCH) is associated with an increased risk of various diseases but is rarely detected before symptom onset. This study aims to develop a machine learning-based prediction model for G2SCH using…
Continue Reading
Suna Health is pioneering acoustic digestive state tracking through a wearable patch that continuously monitors gastrointestinal activity using AI-powered acoustic sensing. The discreet patch contains an acoustic sensor and a 200-hour battery, with on-device machine learning classifying gut sounds…
Continue Reading
Background: The rapid proliferation of mobile health applications has underscored the need for robust tools to evaluate their quality. The Mobile App Rating Scale (MARS) is a widely used framework to assess key app…
Continue Reading
Deep brain stimulation (DBS) is an effective treatment for Parkinson’s disease. Identifying the optimal parameters is a complex task. Here, we investigated whether electrophysiology, combined with machine learning, can support contact selection. We applied…
Continue Reading
Scalable home-based detection of isolated REM sleep behavior disorder (iRBD) is essential for early care, prevention trials, and identifying candidates for neuroprotective interventions against synucleinopathies. We previously showed that high-resolution wrist actigraphy (Axivity AX6)…
Continue Reading
Rama Devi Drakshpalli, Data Analytics Solution Architect at Tech Mahindra
The pharmaceutical industry is undergoing a digital transformation like never before. Emerging technologies such as artificial intelligence, the internet of things, and real-time analytics have…
Continue Reading
