Wearable electronic devices have brought many opportunities and hold great promise for applications in foot health monitoring. However, effective foot monitoring often requires more objective and cost-effective solutions. Here, we present a wearable ...
The widespread use of pesticides and genetically modified (GM) crops has greatly improved agricultural productivity and food security. However, excessive pesticide application and the presence of exogenous proteins from GM crops pose significant risk...
Self-driven microfluidic devices have significantly advanced point-of-care testing (POCT) by enabling integration and automation of all the components required for biochemical analysis through capillary-driven fluid flow, eliminating the need for ext...
Recent neuroscience discoveries on human hand synergies have inspired the development of underactuated robotic hands, which replicate human-like grasping capabilities using a minimal number of actuators. However, a generalized methodology for determi...
The passive compliance of a soft worm-like body can be a key advantage for traversal of complex confined spaces, but in practice, the body's stiffness and contact friction often require experimental adjustments. Here, for the first time, we develop a...
Chemiluminescent (CL) biosensors have rapidly emerged as indispensable analytical tools within the multifaceted domains of pharmaceutical research, development, and clinical diagnostics. This prominence stems from their intrinsic attributes such as h...
Inspired by the flexible structures found in soft organisms in nature, researchers have developed a variety of novel soft robots using flexible materials. Compared to traditional rigid robots, soft robots offer advantages such as lighter weight, grea...
Acoustic microrobots offer an easy-to-operate approach for microobject manipulation in biomedical and nanotechnology applications. However, microobject transportation tasks require synergistic handling and movement, which poses a challenge for solely...
A detailed functional characterization of electrogenic cells, such as neurons and cardiomyocytes, by means of high-density microelectrode arrays (HD-MEAs) has emerged as a powerful approach for inferring cellular phenotypes and elucidating fundamenta...
Lung sounds, as an important physiological signal of human body, play a crucial role in the diagnosis and monitoring of respiratory diseases. In recent years, deep learning-based lung sound intelligent recognition technology has made significant prog...
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