Tag: Machine learning

A bibliometric analysis of 15,554 publications maps the explosive growth, global leaders, and future challenges of AI-driven anticancer drug design ...

A large machine learning analysis of two clinical trial cohorts shows that antidepressants and placebo produce distinct early changes in ...

Researchers have developed a geometry-aware oversampling method that uses neural density fields and meta-learning to generate synthetic minority-class samples adapted ...

A new Python-based tool called NV4GP brings statistically rigorous nested cross-validation and independent validation to genomic prediction, allowing breeders without ...

A new systematic review reveals how artificial intelligence, generative models, and quantum computing are converging to transform drug discovery and ...

Researchers at the Air Force Institute of Technology have developed an unsupervised machine learning pipeline that automatically discovers and classifies ...

Researchers developed an eight-variable XGBoost machine learning model that predicts ICU mortality in spine fracture patients as accurately as the ...

A new causal reasoning framework called CCMRD uses counterfactual textual interventions, dot-product visual causal intervention, and graph neural networks to ...

A new study turns the classic vegetation index into a trainable neural layer and finds that its fixed, hand-crafted form ...

Researchers have built a machine learning model that diagnoses dementia and predicts its onset up to ten years ahead using ...