Tag: machine learning
Clinical classification of the BRCA2 variant is based on genome editing
A machine learning-based algorithm has been used to predict the risk of breast and ovarian cancer in women with BRCA2 variants, based on genome-wide transcriptome data. A computational model was used for classification of BRCA2 variants using mouse embryonic stem cell-based functional assays. Genetic variants in BRCA2 are associated with breast cancer and ovarian cancer, respectively.
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Artificial intelligence is being used to speed up trials
Researchers have developed an artificial intelligence (AI) machine learning system that can predict whether a clinical trial will fail based on the drug molecule, target disease and patient eligibility criteria. The machine learning system can extract safety and efficacy information from the abstract of clinical trials. It can also analyse patient data from a wide range of countries.
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