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NanoLuc Biosensor Technology Offering a simple & rapid detection of Nipah virus infection

NanoLuc technology developed using a split NanoLuc biosensor, enables simple mix-and-read detection of Nipah virus antibodies. The biosensor is 98.6 sensitive and 100% specific for detecting IgG antibodies in Nipah virus infected patients. The NanoLuc Biosensor thus offers a fast, sensitive, and scalable approach for serological surveillance and retrospective analysis of the deadliest viral infections

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breath analyser

Your Breath Could Reveal Cancer: How AI Is Changing Early Detection

A breath analyzer based on a hierarchical deep convolutional neural network (HD-CNN) framework can detect and classify cancer subtypes with accuracies of 95.1% and 98.1% for lung and gastric cancers, respectively. The sensor array within the device detects volatile organic compounds present in the breath of cancer patients and converts these signals into digital data for analysis.

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