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

In the past decade, the application of machine learning (ML) to healthcare has helped drive
the automation of physician tasks as well as enhancements in clinical capabilities and …

A proactive approach to detecting cancer at an early stage can make treatments more
effective, with fewer side effects and improved long-term survival. However, as detection …

Continuous and in situ detection of biomarkers in biofluids (for example, sweat) can provide
critical health data but is limited by biofluid accessibility. Here we report a sensor design that …

The accurate and timely diagnosis of disease is a prerequisite for efficient therapeutic
intervention and epidemiological surveillance. Diagnostics based on the detection of nucleic …

A decade of unprecedented progress in artificial intelligence (AI) has demonstrated the
potential for many fields—including medicine—to benefit from the insights that AI techniques …

Inter-individual human variability, driven by various genetic and environmental factors,
complicates the ability to develop effective population-based early disease detection …

Background Artificial intelligence (AI) holds the promise of supporting nurses' clinical
decision-making in complex care situations or conducting tasks that are remote from direct …

Memristors, promising nanoelectronic devices with in-memory resistive switching behavior
that is assembled with a physically integrated core processing unit (CPU) and memory unit …

Intelligent perception means that with the assistance of artificial intelligence (AI)‐motivated
brain, flexible sensors achieve the ability of memory, learning, judgment, and reasoning …