James Longden

This study uses machine learning to identify routine blood tests as predictive markers of pollution-related poor cognitive function in a cohort without neurological disease.

This study shows that C9orf72 mutations disrupt autophagy in microglia, leading to immune dysfunction and increased motor neuron death in ALS/FTD.

The paper uses random forest modelling to identify microglial activation as a key classifier for C9orf72-related ALS and shows spatial FUS staining changes predict disease status.

This study shows that PIK3CAH1047R homozygosity in hPSCs leads to self-sustained stemness via enhanced NODAL/TGFβ signalling, which can be reversed by TGFβ inhibition.

The paper introduces a Bayesian method to estimate protein concentrations and phosphorylation site occupancy ratios from mass spectrometry data, applied to study PRKAR1A-RET gene fusion effects.