Nature

Deep learning for symmetry classification using sparse 3D electron density data for inorganic compounds

We report a novel deep learning (DL) method for classifying inorganic compounds using 3D electron density data. We transform Density Functional Theory (DFT)-derived CHGCAR files from the Materials ...
Nature

Supervised machine learning classification of psychosis biotypes based on brain structure: findings from the Bipolar-Schizophrenia network for intermediate phenotypes (B-SNIP)

Traditional diagnostic formulations of psychotic disorders have low correspondence with underlying disease neurobiology. This has led to a growing interest in using brain-based biomarkers to capture ...
ascopubs.org

Structure-based classification and nomogram prediction for differential inhibitor sensitivity of EGFR exon 19 deletions.

Detection of comprehensive oncogenic driver alteration of non-small cell lung cancer from cytology specimens by multi-gene PCR panel. Characteristics and clinical outcomes of US veterans with advanced ...