British University of Egypt

Researchers at the British university have developed a proof of concept for a new diagnostic tool that could deliver health test results in two minutes using a fingertip sample The new diagnostic tool can deliver health test results in two minutes because of the use of AI and ML. (Credit: Swansea University) Scientists at the UK-based Swansea University are developing a new artificial intelligence (AI)-based diagnostic tool to speed up the process of biomarkers detection in biofluids. The researchers have developed a proof of concept for the new diagnostic platform that could deliver health test results in two minutes using a fingertip sample. According to the university, the test can enable faster test results for health issues like cardiovascular disorders, Alzheimer’s, and joint quality. Swansea University claimed that the diagnostic tool may revolutionise the healthcare industry because of the application of a form of AI and machine learning (ML).  The ML can help in producing test results within minutes, said the university. Project lead Francesco Del Giudice said: “Existing technologies for the measurements of macromolecules in biofluids are limited; they require a long turnaround time, or require complex protocols, thus calling for alternative, more suitable, methodologies aimed at such measurements. “In our research, we looked at whether we could rapidly detect different concentration of macromolecules in solution at different temperatures using only 100 mL of sample (equivalent to 2 drops of blood). “The key innovation is the fact of providing a result within 2 minutes, which is a leap forward compared to standard testing that can take several hours.” Swansea University said that the proteins found in biofluids such as synovial fluid, saliva, and blood plasma serve as significant biomarkers for the identification of a number of medical disorders. It stated further that the specially created diagnostic tool has been engineered to detect the concentration of the proteins to aid in diagnosing and tracking disease development. According to the researchers, there is potential for at-home diagnostic kits in the future in which self-screening and self-monitoring options could be available and hospital wait times might be significantly reduced, Swansea University noted.