Researchers in Nature Communications introduced an innovative design for soft robots that mimic skeletal muscles and sensory skins. These robots, integrating sensing and actuation capabilities, demonstrated potential in medical implants, dynamically responding to various stimuli for tasks such as drug delivery and cardiovascular monitoring.
A compact, lightweight sensor system with infrared imaging capabilities developed by an international team of engineers could be easily fitted to a drone for remote crop monitoring.
Innovative multichannel microneedle dry electrode patches offer superior electrophysiological signal recording with high spatial resolution and reduced skin impedance. This technology promises significant improvements in clinical diagnostics and organ electrophysiology research.
Researchers in China have developed a reprogrammable adhesive device patch that integrates advanced materials and laser processing for high-sensitive biosensing. This multifunctional patch aims to revolutionize personalized health monitoring and disease management through innovative, skin-interfaced electronics.
In a recent study published in ACS Sensors, researchers from the University of Chinese Academy of Science set out to design a TENG-based sensor that could be integrated into an MRI machine.
A team of Penn State researchers has developed an adhesive sensing device that seamlessly attaches to human skin to detect and monitor the wearer's health.
CEA-Leti scientists reported a series of successes in three related projects at ECTC 2024 that are key steps to enabling a new generation of CMOS image sensors (CIS) that can exploit all the image data to perceive a scene, understand the situation and intervene in it – capabilities that require embedding AI in the sensor.
A recent review in Microsystems & Nanoengineering highlights advances in electrochemical protein biosensors, driven by artificial intelligence, for detecting disease markers. These sensors, utilizing materials like nanoparticles and graphene, show promise in identifying cancer, viral infections, and other conditions, potentially revolutionizing diagnostics and personalized medicine.
Researchers from Taiwan explored the efficacy of organic inverter-based biosensors in identifying bacterial contaminants. Using organic field-effect transistors, they observed minimal changes in surface morphology post-bacterial exposure, though n-type OFETs exhibited subtle electrical variations.
Researchers have developed a three-coil inductive read-out system using wireless implantable sensors (WIMS) to continuously monitor abdominal aortic aneurysm (AAA) growth. This system offers improved real-time monitoring, potentially reducing the need for frequent medical imaging and enhancing patient care post-surgery.
Terms
While we only use edited and approved content for Azthena
answers, it may on occasions provide incorrect responses.
Please confirm any data provided with the related suppliers or
authors. We do not provide medical advice, if you search for
medical information you must always consult a medical
professional before acting on any information provided.
Your questions, but not your email details will be shared with
OpenAI and retained for 30 days in accordance with their
privacy principles.
Please do not ask questions that use sensitive or confidential
information.
Read the full Terms & Conditions.