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Brain Communications|May 17, 2021
Integrative biochemical, proteomics and metabolomics cerebrospinal fluid biomarkers predict clinical conversion to multiple sclerosisFay Probert, Tianrong Yeo, Yifan Zhou, et al.
Frontiers in Immunology|December 30, 2022
Corrigendum: Determination of CSF GFAP, CCN5, and vWF levels enhances the diagnostic accuracy of clinically defined MS from non-MS patients with CSF oligoclonal bandsFay Probert, Tianrong Yeo, Yifan Zhou, et al.
Neurology|February 25, 2021
Olfactory Testing in Parkinson Disease and REM Behavior Disorder: A Machine Learning ApproachChristine Lo, Siddharth Arora, Yoav Ben-Shlomo, et al.
Annals of Clinical and Translational Neurology|August 13, 2019
Predicting motor, cognitive & functional impairment in Parkinson'sChristine Lo, Siddharth Arora, Fahd Baig, et al.
Journal of Parkinson'S Disease|September 25, 2018
Investigating Voice as a Biomarker for Leucine-Rich Repeat Kinase 2-Associated Parkinson's DiseaseSiddharth Arora, Naomi P Visanji, Tiago A Mestre, et al.
Acta Neuropathologica Communications|December 7, 2017
Metabolomics reveals distinct, antibody-independent, molecular signatures of MS, AQP4-antibody and MOG-antibody diseaseMaciej Jurynczyk, Fay Probert, Tianrong Yeo, et al.
Neurology|September 21, 2018
Smartphone motor testing to distinguish idiopathic REM sleep behavior disorder, controls, and PDSiddharth Arora, Fahd Baig, Christine Lo, et al.
JCO Global Oncology|January 15, 2021
Prioritizing Delivery of Cancer Treatment During a COVID-19 Lockdown: The Experience of a Clinical Oncology Service in IndiaIndranil Mallick, Santam Chakraborty, Shweta Baral, et al.
NPJ Digital Medicine|December 1, 2025
Smartphone-based prediction of dopaminergic deficit in prodromal and manifest Parkinson's diseaseKatarina M Gunter, Karolien Groenewald, Timothee Aubourg, et al.
BMJ Neurology Open|July 6, 2026
Identifying and predicting fast versus slow Parkinson's disease motor progressors using clinical and digital dataTimothee Aubourg, Katarina M Gunter, Christine Lo, et al.
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