2 papers
physics.comp-ph2026
An MRI-informed poromechanical model for organ-scale prediction of glioma growth
Meryem Abbad Andaloussi, Stephane Urcun, David A. Hormuth +5
Gliomas constitute one of the most aggressive and heterogeneous forms of brain tumors, posing major challenges for understanding their biology and developing effective treatments.…
eess.SP2023
Deep Learning-Enabled Swallowing Monitoring and Postoperative Recovery Biosensing System
Chih-Ning Tsai, Pei-Wen Yang, Tzu-Yen Huang +5
This study introduces an innovative 3D printed dry electrode tailored for biosensing in postoperative recovery scenarios. Fabricated through a drop coating process, the electrode i…