Team:SJTU-Software/Implementation

  

Overview

According to the latest global cancer burden data for 2020 released by the World Health Organization's International Agency for Research on Cancer (IARC), China has become a veritable "cancer country". There were 4.57 million new cancer cases and 3 million cancer deaths in China in 2020. We can see from the data that if cancer is detected at an early stage, deaths maybe can be greatly reduced.




Our project aims to build a DNA computing platform for the analysis of miRNA in clinical serum samples to achieve early and convenient cancer diagnosis.

Target Users

  • Medical workers——Early cancer screening based on DNA computation
  • Scientific researchers——Standard workflow in conducting DNA computation
  • Biotechnology companies——Commercialize DNA computation into a practical product



Envisions

When DNA computation meets the clinical requirement, medical workers are able to use our software to rapidly analyze collected data, and after in-silico processing, conduct early cancer diagnosis. As for scientific researchers, DNA computation platform will be an inspiring tool for them to further explore the significant advantages of DNA computation technology. To commercialize this detection method, biotechnology companies may develop more accessible products for early cancer diagnosis, such as a detection kit.

Challenges

  • Limited amount of clinical data for relevant research
  • Unexpected situations in molecular level may occur in DNA probe designing
  • More analytical tools are needed to perfect software functions.

How To Use

First, users can either collect data themselves or use the data we have provided. Then these data were processed using differential expression analysis and SVM(support vector machine) analysis in the software which will then select the targets for diagnosis.

After that, there will be some useful tools to facilitate probe design, which is the key stage in implementing DNA computation.

To read more details about our Software guidance, click here!