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Case Studies

Reproductive Science Center of Bay Area: Machine Learning in Reproductive Science

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"Machine learning actually is not widely used right now in clinical practice. We're just in the beginning. But the power of making decisions with machine learning is great and AutoML is a great tool for the rapid knowledge discovery. We can make decisions right away and it can be personalized decisions."

Oleksii Barash
Research Director

Use Cases

Yield Prediction

Overview of the Challenge

Evaluate all the available factors for reproductive science and use machine learning to make sense of the collected data.