More information: Yu Xu, Machine learning optimized polygenic scores for blood cell traits stratify sex-specific trajectories and identify genetic correlations with disease, Cell Genomics (2022 ...

Please use one of the following formats to cite this article in your essay, paper or report: APA. Thomas, Liji. (2023, September 27). How AI and Machine Learning Are Transforming Liver Disease ...

As the use of machine learning algorithms in health care continues to expand, there are growing concerns about equity, fairness, and bias in the ways in which machine learning models are developed ...

Some applications of machine learning that are becoming more widely used in biology include genome annotation; predictions of protein binding; the identification of key transcriptional drivers of ...

Explainable machine learning aggregates polygenic risk scores and electronic health records for Alzheimer’s disease prediction. Scientific Reports , 2023; 13 (1) DOI: 10.1038/s41598-023-27551-1 ...

Study aims to develop a machine learning model to predict cardiovascular disease using indicators of oral infections Mar 17, 2023 ECG-based AI model can predict undiagnosed structural heart disease ...

This could revolutionize drug development, ... and disease. Moving beyond prediction to novel generation. The researchers were excited about the possible uses of their ... The machine learning team ...