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Clinical datasets are often limited in number and pose a challenge for traditional algorithm training. In addition, in extreme environments such as remote regions of the world and outer space, it is impossible to access to the cloud and have reliable power source. Here we aim to develop unique algorithms and device architectures to make AI based analysis accessible for applications in extreme environments. We will leverage resources and collaborations from the MIT Schwarzman college of computing.
Bloodstream infection in particular is a very deadly disease state where by only a few bacteria cause severe illness. However, the handful bacteria among the billions of red blood cells and thousands of white blood cells present per milliliter of blood are difficult to isolate. This necessitates the culturing step in gold standard diagnostic apporach. Here, we tackle this needle in a haystack problem utilizing acoustic bioprinting of picoliter volumes that include single to few cells generated directly from the fluid surface.
The Tadesse lab will continue to innovate in this realm desiging new approaches for tailored liquid clinical samples such as urine, saliva and blood. In addition we will work on addressing major engineering and technology bottlenecks in the clinical translation of novel sample prepartion technologies.
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Clinical datasets are often limited in number and pose a challenge for traditional algorithm training. In addition, in extreme environments such as remote regions of the world and outer space, it is impossible to access to the cloud and have reliable power source. Here we aim to develop unique algorithms and device architectures to make AI based analysis accessible for applications in extreme environments. We will leverage resources and collaborations from the MIT Schwarzman college of computing.
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Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
Prior to miniaturization and field tests we will ensure efficiency of our diagnostic device concepts in house by utilizing high throughput autonomous versions of the diagnostic tools to run thousands of clinical and lab grown samples from our collaborators at the Ragon Institute and Mass General Hospitals. We envision such a tools could be translated for use in large hospital and centralized clinical laboratory settings as well as in other research labs.
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