BIG DATA TO INDIVIDUALIZE MANAGEMENT OF CHRONIC DISEASES

The video discusses Ellen Floyd's battle with Scleroderma and how her medical history, along with those of 3000 other patients, is being used to develop personalized treatments. Supported by the National Science Foundation, computer scientists at Johns Hopkins University are leveraging big data and machine learning to improve healthcare outcomes. These models analyze medical records to predict disease progression and guide treatment decisions, particularly for autoimmune diseases. The goal is to fine-tune treatments for better accuracy and broader global impact.

What are the potential risks associated with immunosuppressive therapy mentioned in the text?

In what ways could the tools developed at Johns Hopkins University impact the treatment of other autoimmune diseases?