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 ...

It provides convincing evidence that demographic-specific functional templates improve functional neuroimaging studies that use hyperalignment. This study will be of interest to cognitive ...

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

AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...

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 ...

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...

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 ...