Functional Data Analysis (FDA) is an increasingly central statistical framework that extends conventional data analysis to observations recorded as functions, curves or shapes. This approach ...

Heart failure is a leading cause of hospitalization and long-term disability, with many individuals progressing from subclinical disease to overt symptoms ...

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

Molecular Correlates of Long-Term Response to Bevacizumab in Glioblastoma Recurrent nonkinase domain FGFR VUS variants were collected from the Catalog of Somatic Mutations in Cancer and their ...

Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...

Mass General Brigham researchers are betting that the next big leap in brain medicine will come from teaching artificial intelligence to “read” MRI scans in a more flexible way. The team, led by ...

For monoclonal antibodies (mAbs), traditional design space identification methods typically rely on expensive wet-lab experiments or in silico models that, for low-density data, need improvement. A ...

Behavioral information from an Apple Watch, such as physical activity, cardiovascular fitness, and mobility metrics, may be more useful for determining a person's health state than just raw sensor ...