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 …

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

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

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 …

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 …

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 …

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 …

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

Parkinson's disease (PD) is the fastest-growing neurological disease in the world. A key
challenge in PD is tracking disease severity, progression, and medication response. Existing …

Respiration and body temperature are largely influenced by the highly contagious influenza
virus, which poses persistent global public health challenges. Here, we present a wireless …