This machine-learning algorithm makes it possible to develop "short integer-scored screening scales more rigorously by using modern optimization techniques that find a best-fitting logistic ...

The cell-line development process starts with in silico procedures combining codon-optimization algorithms ... CHO-K1 cell lines. Machine learning combined with in vitro screening is used to ...

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 ...

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 ...

An automated machine-learning program developed ... and without doing specific screening for AAC, this prognosis would often go unnoticed. By applying this algorithm during bone density scans ...

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.

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 ...