🧬 Not All Heart Disease Is the Same - So I Built an AI to Prove It

The Question That Started It All A few months ago, while diving into cardiovascular data, I found myself asking a simple question: Why do two heart patients with the exact same diagnosis respond so differently to the same treatment? Clinically, they are labeled the same. But biologically? That didn’t feel right. Coming from a background in Microbiology, I’ve always been fascinated by the invisible "mechanics" of the cell. Transitioning into Data Science at Northwestern allowed me to finally quantify those mechanics at scale. I started imagining three distinct patients: Patient A: Struggles because of inherited genetic and metabolic "fuel" issues. Patient B: Damage is driven by a hyper-active immune system (inflammation). Patient C: The heart is slowly stiffening due to excessive scar tissue (fibrosis). That’s the gap this project aims to bridge. Yet, we often treat them with a "one-size-fits-all" approach. I built this AI portal to prove we can do better. Multi-Omics Integration If the