Suely Kazue Nagahashi Marie

This paper applies fractal analysis to MALDI-TOF MS data for glioblastoma diagnosis, showing fractals can improve machine learning models but still underperform compared to traditional feature extraction.

This study shows that DMMB-induced photodamage causes transcriptomic changes similar to autophagy inhibition and persistent mitochondrial dysfunction.

This study examines how acute and chronic blue light exposure affects human keratinocytes, finding increased proliferation, chromatin changes, and transcriptional shifts resembling malignant transformation.

This study uses MALDI-TOF MS and machine learning to identify serum biomarkers for astrocytoma diagnosis, achieving 94.5% accuracy in distinguishing GBM from healthy controls.

This study investigates the role of ATE1-mediated N-terminal arginylation in glioblastoma, finding it activates ER-stress and UPR pathways, promotes autophagy, and supports tumor growth.