Pancreatic cancer, specifically Pancreatic ductal adenocarcinoma (PDAC) is an extremely harmful disease that has a survival rate of ~10% after 5 years of being diagnosed . It is important that clinicians are able to diagnose the disease as early as possible for effective treatment. There are no useful biomarkers for detection in its the cancer's early stages; however, a recent study has found a promising panel of biomarkers for earlier detection using urine analysis .
What it does
Enter Creatic Cancer Chip (CCC), our medical device incorporates an end-to-end microfluidic lab on a chip that takes a urine sample and runs a full laboratory analysis. We use standard ELISA assays with fluorophore conjugated antigens in a spinning chamber for the reaction. We then use machine learning algorithms to determine a predictive diagnosis in order to guide clinicians to early measure treatment options. All of the inferences/patient data are then sent to our webapp and stored on our CockroachDB database for secure and safe storage.
How we built it
CAD Model/ Microfluidic Chip
- Solidworks to design the actual mechanical chassis of the device
- We sketched the microfluidic chip design using knowledge from courses (purely a design)
- Tensorflow for the model development of the 2 layer neural network
- SciKit-Learn for development of the classification network
- Matplotlib for the data visualization
- Node.js for the web application development
- Bootstrap for nice looking and interactive front-end design
- Cockroach DB for scalable and hospital compatible distributed SQL data storage
Challenges we ran into
We are a group of biomedical engineering students, so we are used to academic work; getting used to the web development process and learning how to build a web was a very challenging process. Moreover, finding a way to get clinical insight from a limited sample of data was very difficult.
What we learned
We learned how to build a web application using Node.js, Bootstrap, and CockroachDB. Moreover, we got a chance to learn how to apply a lot of what we learnt in school to build something worthwhile. This was an excellent opportunity to learn web development
- S. Debernardi, H. O’Brien, A. S. Algahmdi, N. Malats, G. D. Stewart, M. Plješa-Ercegovac, E. Costello, W. Greenhalf, A. Saad, R. Roberts, A. Ney, S. P. Pereira, H. M. Kocher, S. Duffy, O. Blyuss, and T. Crnogorac-Jurcevic, “A combination of urinary biomarker panel and PancRISK score for earlier detection of pancreatic cancer: A case–control study,” PLOS Medicine, vol. 17, no. 12, 2020.