Holographic imaging and deep learning diagnose malaria

Duke researchers have devised a computerized method to autonomously and quickly diagnose malaria with clinically relevant accuracy—a crucial step to successfully treating the disease and halting its spread.

Video: Handheld diagnostics

Sam Sia, associate professor of Biomedical Engineering, and his team developed a smartphone dongle to bring diagnostic testing to remote areas where health care access is limited and funds are low.

Use your smartphone for biosensing

An Australian research team has shown that smartphones can be reconfigured as cost-effective, portable bioanalytical devices, with details reported in the latest edition of the Open Access Journal 'Sensors'.

Reference biosensor developed for calibrating diagnostic devices

Researchers at the National Physical Laboratory (NPL), in collaboration with Chalmers University of Technology, Sweden, and the University of Tampere, Finland, have developed a novel reference biosensor to aid the development ...

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