I Trained Knowledge Graph Embeddings to Find a Cure for My Disease. The Model Found One That Causes It.
Our take: Personal ML experiment revealing computational pitfalls; limited scope but useful insight.
Why Impact & Innovation? We ask two questions of every story: did this actually change something in the real world (Impact), and is the idea genuinely new (Innovation)? Together, that's the TS Score — not engagement, not who posted it, just what matters and what's new.
A software engineer built a machine learning model to discover drug treatments for ulcerative colitis but found the computational drug repurposing approach produces meaningless results about graph retrieval rather than genuine drug discovery insights.
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