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Machine learning algorithms, while able to comb through massive troves of data faster than humanly possible, lack human ability to learn with just a few examples.

As a result, the new algorithm more successfully characterises genetic variations than existing approaches. It also produces a score that can predict the severity of a variation’s impact. The research ...

Machine learning is hard.Algorithms in a particular use case often either don't work or don't work well enough, leading to some serious debugging. And finding the perfect algorithm–the set of ...

Researchers at Osaka University have developed a computer method that uses magnetic resonance imaging (MRI) and machine learning to rapidly forecast genetic mutations in glioma tumors, which occur ...

Using machine learning, they evaluated this information and identified 71 reproducible behavioral sequences that are the underlying building blocks for more complex behavior patterns. The transition ...