Researchers at Princeton and the Simons Foundation turned the traditional approach on its head, teaching a machine learning algorithm to look for the genetic relationships that could cause autism.

While in graduate school, he focused his research on genetic algorithms and neural networks. One outcome of his research is a novel supervised machine learning algorithm that combines the two.

Machine learning reveals unexpected genetic roots of cancers, autism and other disorders Researchers from engineering, biology and medicine teach computers to ‘read the human genome’ and rate ...

By creating a machine-learning algorithm that predicts how human and mouse cells respond to CRISPR-induced breaks in DNA, a team of researchers discovered that cells often repair broken genes in ...

Using the machine learning algorithm, Gregg and team found that the differences in the animals’ ages and genetics influenced different behavioral sequences.

Machine-learning system used to diagnose genetic diseases Automation yields faster test results to inform personalized medical care Date: April 25, 2019 Source: Rady Children's Institute for ...

Machine learning is great at finding patterns but doesn’t know what those patterns mean. Combine it with knowledge gained from genetic research and you have a powerful view into the workings of ...

With AI and machine learning algorithms, you have to be really careful about these biases being introduced early on, because once they become deeply entrenched into the system, it is difficult to ...