For the next 90 days, data scientists will have the chance to submit algorithms that can identify nuclei in cell samples without human intervention.

The Data Science Bowl is underway again, and this year, deep learning is the game. For the next 90 days, data scientists will have the chance to submit algorithms that can identify nuclei in cell samples without human intervention. The idea is to speed up drug target identification by tasking a deep learning model with analyzing millions of cell samples, rather than relying on human scientists. "All current options for nuclei detection require time-consuming biologist intervention. There are no deep learning models available today that can identify nuclei across multiple experimental setups and testing conditions," the event's official statement says.