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.

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 ...

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 ...

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.

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 ...

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

This research roundup explores the role of sugar molecules in brain degeneration, a machine learning algorithm to detect diseases and a generative AI tool that can generate original genetic code.