Machine learning methods are performed in three stages. A learning researcher develops an algorithm that they suspect will lead to successful learning. Afterward, the algorithm is provided with a ...

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 ...

Computational tools are becoming increasingly important in biological research. Massive amounts of data has been generated with powerful microscopes, and by applying techniques like high-throughput ...

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.

Weill Cornell Medicine researchers are using machine learning, a form of artificial intelligence, to shed light on genetic mutations associated with spina bifida.

Genetic Algorithms have been successfully applied in many fields such as search optimisation, machine learning, data mining, and image processing.

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.

Compared to classical algorithms, quantum machine learning demonstrates significant advantages in feature extraction, model training, and predictive inference.