Gabbi, Inc.

Existing risk calculations have been tested on data collected from specific studies and are a mathematically derived one time calculation. We are creating a risk calculator that leverages two existing risk models. One of the existing models under-estimates a woman's risk and the other over-estimates a woman's risk. Our algorithm is distinct and is more accurate because it combines risk calculations in a ML method that weighs each input factor and each prediction model. The resulting ML-driven weighted risk calculator is trained and tested on existing datasets, and demonstrates improvement in predictions.
The end user (female health consumer) completes our digital risk calculator by inputting data. She is then given a % of her lifetime risk for breast cancer and a personalized action plan. She is able to self-select what she wants to prioritize and what step she wants to take first. She can connect her IoT devices where she receives tracking and notifications as she makes progress towards her goals of risk reduction.
Our innovation not only engages members, but provides early detection and prevention when care is the cheapest resulting in billions of cost savings for payers.