D. Chambers

The Effect of Synthetic Training Data on the Performance of a Deep Learning Based Markerless Biomechanics System

This study evaluates how adding synthetic data to the training of a deep learning markerless biomechanics system improves kinematic measurement accuracy during countermovement jumps and squats.

Dynamical Systems Models for Plasma Dilution

The paper uses dynamical systems models to optimize plasma dilution parameters and explores model predictions with different data scenarios.

Transcription Profile And Pathway Analysis Of The Endocannabinoid Receptor Inverse Agonist AM630 In The Core And Infiltrative Boundary Of Human Glioblastoma Cells

This study compares the transcriptional response of AM630 in GBM core and invasive margin cells, finding distinct gene expression patterns and drug sensitivities.