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.

Genetic algorithms can be used to improve machine learning and deep learning models in several different ways, such as feature selection, hyperparameter tuning and architecture optimization.

Novel machine learning method can improve genetic risk assessments for non-white populations Researchers have developed a scalable AI-based approach that makes use of genetic studies that include ...

Machine Learning is the study of algorithms that improve automatically through experience. Topics covered typically include Bayesian Learning, Decision Trees, Genetic Algorithms, Neural Networks.

Researchers have used machine learning to start making links between seemingly instinctive, random behaviors and genetic factors.

Scientists have utilized a machine-learning process and clinical natural language processing (CNLP) to diagnose rare genetic diseases in record time. This new method is speeding answers to ...

In a small study, they successfully trained a machine learning algorithm to predict, in hindsight, which patients with melanoma would respond to treatment and which would not respond.

At more than 6,000 pages, this book is a comprehensive introduction to machine learning, with up-to-date chapters on artificial neural networks, genetic algorithms, and machine vision.