--- title: "Oxford Researchers Develop A Rapid Test For Diagnosing Respiratory Viruses In Five Minutes" description: "The novel diagnostic test may replace existing procedures that can only detect a single infection, such as a COVID-19 lateral flow test" author: "Anonymous User" published: 2023-02-18 canonical: https://www.mindstick.com/news/2837/oxford-researchers-develop-a-rapid-test-for-diagnosing-respiratory-viruses-in-five-minutes category: "news" tags: ["healthcare", "oxford"] reading_time: 3 minutes --- # Oxford Researchers Develop A Rapid Test For Diagnosing Respiratory Viruses In Five Minutes [Researchers](https://www.mindstick.com/news/1544/mars-looks-more-seismically-active-than-before-thought-said-researchers) at Oxford University have developed a diagnostic instrument driven by [artificial intelligence](https://www.mindstick.com/services/artificial-intelligence) that can detect known respiratory infections in only five minutes using a single sample taken from the nasal passages or the throat. Existing techniques that can only identify a specific infection, such as a COVID-19 lateral testing apparatus, or which are neither research facility nor labor-intensive nor rapid but less accurate may be rendered obsolete by the innovative diagnostic test. Nicolas Shiaelis, a DPhil student, Prof. Achilles Kapanidis from the Physics Department & Dr. Nicole Robb from Warwick University who represents as a visiting scholar at Oxford's Physics Department, describe the new method for detecting and identifying viruses in a paper that was published in ACS Nano. The research demonstrates how [machine learning](https://www.mindstick.com/articles/13070/rising-popularity-of-machine-learning-classes-in-bangalore) has the potential to significantly improve the rate, accuracy, and efficacy of not just categorizing viruses but also distinguishing across strains of the same virus. [Validation](https://www.mindstick.com/articles/12234/validation-using-data-annotation-using-entity-framework) of the unique technique was a collaborative effort between the John Radcliffe Hospital, led by Dr. Robb, and Nicolas Shiaelis. The novel testing technique combines small molecule labeling, [computer vision](https://www.mindstick.com/blog/302269/computer-vision-what-is-it), and machine learning to produce a universal medical diagnostic platform. This platform can swiftly detect the pathogen in a patient sample simply by looking straight at it. The concept is comparable to software that recognizes facial features, except that it does so for germs. - Also read [**5 Small Lifestyle Swaps for a Healthier You**](https://www.mindstick.com/articles/331280/5-small-lifestyle-swaps-for-a-healthier-you) Studies conducted first showed that the test was able to notice the COVID-19 virus in patient samples. Studies conducted afterward demonstrated that the test could diagnose different respiratory infections in 5 minutes with an average accuracy of over 97%. Dr. Robb and Nicolas Shiaelis, co-founders of the Oxford University spinoff business Pictura Bio, are in charge of licensing the [technology](https://www.mindstick.com/articles/13005/the-functional-aspects-of-laser-technology). They are presently trying to get more financing to expedite research and move it to the center of healthcare. According to Dr. Robb, "Cases of respiratory infections have touched record-breaking highs this winter," which has led to an increase in the number of persons seeking medical assistance. This, in conjunction with the COVID-19 congestion, understaffing, reduced resources, and an [aging population](https://answers.mindstick.com/qa/114283/how-can-healthcare-systems-address-the-growing-aging-population), places an enormous and unsustainable amount of strain on the National Health Service and its personnel. - Also read [**Psychotherapy: Everything about Group Therapy**](https://www.mindstick.com/articles/331783/psychotherapy-everything-about-group-therapy) Our streamlined approach to diagnostic testing is not only speedier but also more cost-effective, more accurate, and more prepared for the future than any other tests that are now on the market. Instead of developing a whole new test, all that is required of us to identify a newly discovered virus is to retrain the software to recognize it. Our research demonstrates that this technology has the potential to revolutionize viral diagnosis [as well as](https://www.mindstick.com/interview/2481/can-you-write-a-java-class-that-could-be-used-both-as-an-applet-as-well-as-an-application) our capacity to prevent the spread of respiratory infections. Robb added. --- Original Source: https://www.mindstick.com/news/2837/oxford-researchers-develop-a-rapid-test-for-diagnosing-respiratory-viruses-in-five-minutes Copyright © MindStick Software Pvt. Ltd. This Markdown version is provided for developers, AI systems, and offline reading.