A group of researchers from the Korea Institute of Materials Science's Advanced Bio and Healthcare Materials Research Division, under the direction of Dr. Ho Sang Jung, have created a novel sensor material that uses artificial intelligence to analyze and diagnose cancer by amplifying the optical signals of cancer metabolites in bodily fluids like urine, mucus, and saliva.
In a study published in Advanced Science, Johns Hopkins University researchers developed a new blood test that diagnoses them in minutes rather than hours and could be used as a tool for first responders and at-home patients.
Researchers developed a flexible, wearable ultrasonic bladder volume monitoring device for non-invasive, continuous assessment.
Researchers demonstrated that 24-hour contact lens sensors can monitor intraocular pressure fluctuations, providing critical insights into normal-tension glaucoma progression. Continuous data collection offers better disease management and personalized treatment for patients, improving clinical outcomes
Researchers developed a HEK-hTLR5 cell-based biosensor to rapidly detect viable Salmonella in food.
Researchers at Cranfield University have created a novel approach to detect biomarkers in wastewater that will allow the tracking of infectious diseases with a mobile phone's camera utilizing origami-paper sensors.
Researchers developed a shape-morphing cortex-adhesive sensor for non-invasive neurostimulation in epilepsy.
Researchers developed predictive models using data from wearable insulin pumps to forecast mealtimes in diabetes patients.
According to a study published in Science Advances, University of Central Florida researchers, led by UCF NanoScience Technology Center Professor Debashis Chanda, have created an integrated optical sensor that can detect dopamine straight from an unprocessed blood sample.
This study explores the development of green wearable sensors and antennas with energy-harvesting capabilities for sustainable healthcare and IoT applications.
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