Researchers have developed a highly sensitive wearable pressure sensor for health monitoring applications and early diagnosis of diseases.
A wearable monitoring device to make treatments easier and more affordable for the millions of people with swallowing disorders is about to be released into the market.
A software tool uses artificial intelligence to recognize cancer cells from digital pathology images — giving clinicians a powerful way of predicting patient outcomes.
Researchers describe a mass-producible wearable sensor that can monitor levels of metabolites and nutrients in a person's blood by analyzing their sweat.
Using machine learning, a prototype microscope teaches itself the best illumination settings for diagnosing malaria.
Researchers have shown that AI can evaluate written messages by patients with severely diseased livers to detect language abnormalities associated with liver disease.
Researchers from Thomas Jefferson University use machine learning on ultrasound images of thyroid nodules to predict risk of malignancy.
An AI tool identified breast cancer with approximately 90 percent accuracy when combined with analysis by radiologists.
Based on a convolutional neural network the tool is able to provide results within seconds, thus supporting the doctor with comprehensive image analysis.
A new type of ultrasound transducer should soon be delivering a fast and reliable diagnosis of infection of the middle ear.
Scientists have now produced tiny diamonds, so-called "nanodiamonds", which could serve as a platform for both the therapy and diagnosis of brain diseases.
Greater resolution, sharper images, and more efficient diagnostic processes – this is the promise of an endoscopy capsule developed by Fraunhofer IZM to allow more detailed small intestine diagnostics.
A researcher is hoping to help women in rural areas access information about their reproductive health using a common tool in their pockets: a smartphone.
Researchers are pairing a nanoscale imaging technique with virtual reality technology to create a method that allows researchers to “step inside” their biological data.
The project “BioSensing” from Fraunhofer ISC aims to overcome the limits of modern biosensors with the help of quantum technology.