Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

Statistical insights into machine learning analysis can help researchers evaluate model performance and may even provide new physical understanding.

Scientists from Peking University conducts a systematic review of studies on integrating machine learning into statistical methods in disease prediction models. Researchers from Peking University have ...

Selection of appropriate adjuvant therapy to ultimately reduce the risk of breast cancer (BC) recurrence is a challenge for medical oncologists. Several automated risk prediction models have been ...

Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...

Machine-learning models accurately pinpointed differences in immune responses in healthy controls and those living with HIV.