Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

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

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 ...

Statistical machine learning is at the core of modern-day advances in artificial intelligence, but a Rochester Institute of Technology professor argues that applying it correctly requires equal parts ...

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 from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...

2026 SAS Educator Awards spotlight faculty shaping the next generation of analytics talent ...