Scientists using machine learning tools to analyze biomedical data often turn to neural network algorithms ... screening. They came up with the first “transfer learning” techniques for kernel methods ...

To do so, they developed a prediction algorithm based on convolutional ... This has opened opportunities for us to apply the Machine Learning techniques, as they are proposed in the article." ...

Their newest interdisciplinary collaboration and research is documented in the paper "Use of Machine Learning to Improve Autism Screening and ... Social Responsiveness Scale (SRS), both exams ...

Machine-learning algorithms are responsible for the vast majority of the artificial intelligence advancements and applications you hear about. (For more background, check out our first flowchart ...

The full dataset contained 2,523 compounds and included compounds with both senolytic and non-senolytic properties so as not to bias the machine-learning algorithm. The algorithm was then used to ...

The image is then uploaded to the screening algorithm. The machine learning screens for diabetic retinopathy and diabetic macular edema. Based on the results, technicians can determine whether the ...

Machine learning is a branch of artificial intelligence that includes methods, or algorithms ... are large and easy to access. Automatic screening of résumés is a controversial area.