David Guo Update for 2/12
David G -
Dear Readers,
Since my last post, I have worked on the design of the experiment. In our design we made sure to include testing InnovaBug’s accuracy, sensitivity, and efficiency in detecting viral infections from small blood samples. A controlled study could compare InnovaBug™ results to those using blood samples spiked with known pathogen loads to assess detection limits. To evaluate performance, tests could be conducted in various settings, such as clinics or refugee sites, measuring usability, processing time, and reliability under different environmental conditions. In addition, our design includes statistical analysis like the counting of Colony Forming Units (CFUs) to quantify the device’s specificity and sensitivity. This would ensure minimal false positives or negatives. Finally, iterative testing and refinement would help optimize the device’s performance before large-scale deployment.
Beyond the design of the experiment, I refined my project’s motivation, which includes the need for a rapid, portable diagnostic tool to improve healthcare accessibility in underserved areas, particularly for refugees and low-income communities. Recognizing the limitations of traditional lab-based testing, the team sought to develop a small-volume blood diagnostic device that delivers accurate results within 30 minutes. InnovaBug™ aims to bridge gaps in healthcare by enabling early diagnosis and intervention in resource-limited settings.
In the next few days and weeks, I will continue to refine the design of the experiment and motivation so it provides the best experiments and procedures that can be used. In addition, reviewing the design in great detail will ensure that nothing is missed and that the project is completed with the highest accuracy and smoothly.
Sincerely,
David Guo
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