Small-angle scattering (SAS) is a powerful technique for studying nanoscale samples. So far, however, its use in research has been held back by its inability to operate without some prior knowledge of ...

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 ...

Machine learning, with its ability to analyze large datasets and identify patterns, is particularly well-suited to address the challenges presented by the vast and complex data generated in ...

Researchers at Korea University have developed a machine learning model for predicting sheet resistance in phosphorus oxychloride (POCl3) doping processes in solar cell manufacturing. “Our study aims ...

Mutations in genes are the primary cause of cancer. Cancer research has mainly focused on identifying cancer-driver genes (CDGs) that may trigger tumorigenesis or promote aberrant cell growth. Modern ...

Investigators have applied artificial intelligence techniques to gait analyses and medical records data to provide insights about individuals with leg fractures and aspects of their recovery. The ...

Learn how industrial computed tomography (CT), digital twins and collaborative platforms are improving workflows across design, simulation, manufacturing and inspection in machine engineering from ...