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One of the oldest IVF centers in the US uses H2O Driverless AI to personalize treatment decisions, streamline clinical processes, and reduce costs.
The reproductive services center of the bay area is one of the oldest IVF centers in the United states. Infertiliy impacts 12% of people of productive age. More than 50% of people can have a baby with treatment, but treatment cycles are expensive. Using machine learning is a key tool to help clinical staff make better decisions, streamline processes and reduce costs.
“Driverless AI is awesome. The feature engineering creates combinations that I would never think of even with my domain knowledge.”Oleksii BarashIVF Labotory Research Director
Evaluate all the available factors for reproductive science and use machine learning to make sense of the collected data.
“Many clinical practices don't have data scientists, so they need tools like Driverless AI to extract insights from clinical data. It does the model creation and sampling for us, and makes it faster and more robust.”Oleksii BarashResearch Director
Evaluate all the available factors for reproductive science and use machine learning to make sense of the collected data.
“Machine learning is not yet widely used in clinical practice, but the power of making decisions with it is great. AutoML is a great tool for rapid, personalized knowledge discovery.”Oleksii BarashResearch Director