Growing life expectancy poses important societal challenges, placing an increasing burden
on ever more strained health systems. Digital technologies offer tremendous potential for …

Recently, advances in wearable technologies, data science and machine learning have
begun to transform evidence-based medicine, offering a tantalizing glimpse into a future of …

Skin-interfaced electronics is gradually changing medical practices by enabling continuous
and non-invasive tracking of physiological and biochemical information. With the rise of big …

Parkinson's disease is a progressive neurodegenerative movement disorder with a long
latent phase and currently no disease-modifying treatments. Reliable predictive biomarkers …

Background Binary diagnosis of coronary artery disease does not preserve the complexity of
disease or quantify its severity or its associated risk with death; hence, a quantitative marker …

Chronic low-grade inflammation and neuronal deregulation are two components of a
smoldering disease activity that drives the progression of disability in people with multiple …

In the last five years, there has been tremendous growth in machine learning and artificial
intelligence as applied to polymer science. Here, we highlight the unique challenges …

The discovery of a pathogenic variant in the alpha-synuclein (SNCA) gene in the Contursi
kindred in 1997 indisputably confirmed a genetic cause in a subset of Parkinson's disease …

Artificial intelligence (AI) is rapidly transforming healthcare, and one of its most promising
applications is in the diagnosis and treatment of diseases. AI algorithms can analyze vast …

Wearable sensors are a recent paradigm in healthcare, enabling continuous, decentralized,
and non-or minimally invasive monitoring of health and disease. Continuous measurements …