Healthcare

Identifying anomalies in medical datasets can be the difference between life and death.

Edge facilitates an interpretable representation of medical concepts such as drugs and disease, which enables context-aware insights and enhances clinical research, decision-making, and healthcare delivery. It can help in drug discovery, repurposing and adverse reactions, diseases and disorders, biomedicine and various other miscellaneous healthcare applications.

dRISK has collaboratively worked with the City of Hope Cancer Center to examine cancer data for anomalies within their anonymized datasets. In the following, we will illustrate how Edge, our user-friendly analytics tool, allows for the rapid uploading of raw data and, with minimal effort, demonstrates its ability to extract valuable insights for medical research. This process, which can be time-consuming when utilizing conventional table or relational database methods, will be streamlined through our tool.