Difference between revisions of "Template:Project Description"
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The Nucle.io project aims to provide rapid, point-of-care diagnostics that undercut current wait times for the return and analysis of laboratory test results such as blood culture (3 days) and PCR (1 day), by performing both diagnostic amplification and result computation in one reaction. This allows clinical decision making to happen on a faster timescale in emergency medical settings where time is of the essence. Sepsis is a disease responsible for 20% of global deaths. Each hour of delayed treatment leads to an 8% increase in mortality. When infection is treated early with accurate antibiotics, downstream complications such as organ failure can be prevented. The Nucle.io diagnostic uses a modular approach to achieve both accuracy and speed, leveraging the CasX protein to perform mRNA-based detection or a strand displacement cascade to perform mRNA amplification. The downstream module (computation) applies the Winner-Take-All neural network (WTA NN), which is a DNA computing architecture using toehold-mediated strand displacement reactions to analyze profiles of nucleic acids developed in Neural network computation with DNA strand displacement cascades (Qian et. al, 2011). | The Nucle.io project aims to provide rapid, point-of-care diagnostics that undercut current wait times for the return and analysis of laboratory test results such as blood culture (3 days) and PCR (1 day), by performing both diagnostic amplification and result computation in one reaction. This allows clinical decision making to happen on a faster timescale in emergency medical settings where time is of the essence. Sepsis is a disease responsible for 20% of global deaths. Each hour of delayed treatment leads to an 8% increase in mortality. When infection is treated early with accurate antibiotics, downstream complications such as organ failure can be prevented. The Nucle.io diagnostic uses a modular approach to achieve both accuracy and speed, leveraging the CasX protein to perform mRNA-based detection or a strand displacement cascade to perform mRNA amplification. The downstream module (computation) applies the Winner-Take-All neural network (WTA NN), which is a DNA computing architecture using toehold-mediated strand displacement reactions to analyze profiles of nucleic acids developed in Neural network computation with DNA strand displacement cascades (Qian et. al, 2011). | ||
Latest revision as of 02:37, 13 September 2024
Project Description
The Nucle.io project aims to provide rapid, point-of-care diagnostics that undercut current wait times for the return and analysis of laboratory test results such as blood culture (3 days) and PCR (1 day), by performing both diagnostic amplification and result computation in one reaction. This allows clinical decision making to happen on a faster timescale in emergency medical settings where time is of the essence. Sepsis is a disease responsible for 20% of global deaths. Each hour of delayed treatment leads to an 8% increase in mortality. When infection is treated early with accurate antibiotics, downstream complications such as organ failure can be prevented. The Nucle.io diagnostic uses a modular approach to achieve both accuracy and speed, leveraging the CasX protein to perform mRNA-based detection or a strand displacement cascade to perform mRNA amplification. The downstream module (computation) applies the Winner-Take-All neural network (WTA NN), which is a DNA computing architecture using toehold-mediated strand displacement reactions to analyze profiles of nucleic acids developed in Neural network computation with DNA strand displacement cascades (Qian et. al, 2011).