Wearable movement-tracking data identify Parkinson’s disease years before clinical diagnosis AK Schalkamp, KJ Peall, NA Harrison, C Sandor Nature Medicine 29 (8), 2048-2056, 2023 | 86 | 2023 |
New cases of dementia are rising in elderly populations in Wales, UK J Stevenson-Hoare, AK Schalkamp, C Sandor, J Hardy, V Escott-Price Journal of the neurological sciences 451, 120715, 2023 | 11 | 2023 |
Deep phenotyping for precision medicine in Parkinson's disease AK Schalkamp, N Rahman, J Monzón-Sandoval, C Sandor Disease Models & Mechanisms 15 (6), dmm049376, 2022 | 11 | 2022 |
Universal clinical Parkinson’s disease axes identify a major influence of neuroinflammation C Sandor, S Millin, A Dahl, AK Schalkamp, M Lawton, L Hubbard, ... Genome Medicine 14 (1), 129, 2022 | 8 | 2022 |
Macro-and micro-structural insights into primary dystonia: a UK Biobank study CL MacIver, G Bailey, PL Laguna, ME Wadon, AK Schalkamp, C Sandor, ... Journal of neurology 271 (3), 1416-1427, 2024 | 7 | 2024 |
Digital outcome measures from smartwatch data relate to non-motor features of Parkinson’s disease AK Schalkamp, NA Harrison, KJ Peall, C Sandor npj Parkinson's Disease 10 (1), 110, 2024 | 3 | 2024 |
Wearable devices can identify Parkinson’s disease up to 7 years before clinical diagnosis AK Schalkamp, KJ Peall, NA Harrison, C Sandor medRxiv, 2022.11. 28.22282809, 2022 | 1 | 2022 |
An interpretable machine learning tool for in-home monitoring of agitation episodes in people living with dementia: a proof-of-concept study M Bafaloukou, AK Schalkamp, N Fletcher-Lloyd, A Capstick, C Walsh, ... eClinicalMedicine 80, 2025 | | 2025 |
Predicting incident dementia in the UK Biobank with smartwatches AK Schalkamp, KJ Peall, NA Harrison, V Escott-Price, P Barnaghi, ... Alzheimer's & dementia: the journal of the Alzheimer's Association 20, e095464, 2024 | | 2024 |
Identifying diverse agitation profiles in dementia: Insights from longitudinal in‐home monitoring data M Bafaloukou, AK Schalkamp, C Sandor, R Nilforooshan, P Barnaghi, ... Alzheimer's & Dementia 20, e095287, 2024 | | 2024 |
Machine learning-based personalized composite score dissects risk and protective factors for cognitive and motor function in older participants AK Schalkamp, S Lerche, I Wurster, B Roeben, M Zimmermann, F Fries, ... Frontiers in Aging Neuroscience 16, 1447944, 2024 | | 2024 |
Digital risk score sensitively identifies presence of α-synuclein aggregation or dopaminergic deficit AK Schalkamp, KJ Peall, NA Harrison, V Escott-Price, P Barnaghi, ... medRxiv, 2024.09. 05.24313156, 2024 | | 2024 |
An Interpretable Machine Learning Tool for In-Home Screening of Agitation Episodes in People Living with Dementia M Bafaloukou, AK Schalkamp, NV Fletcher-Lloyd, A Capstick, C Walsh, ... medRxiv, 2024.07. 30.24311178, 2024 | | 2024 |
Addressing Parkinson’s Disease risk analysis, early diagnosis, progression, and stratification using data-driven approaches in deeply phenotyped cohorts AK Schalkamp Cardiff University, 2023 | | 2023 |
Digital markers from smartwatch data relate to non-motor clinical examinations of Parkinson's disease AK Schalkamp, NA Harrison, KJ Peall, C Sandor medRxiv, 2023.09. 12.23295406, 2023 | | 2023 |
Leveraging long-term smartwatch data to inform Parkinson's disease progression, subtypes, and risk AK Schalkamp, KJ Peall, NA Harrison, V Escott-Price, C Sandor medRxiv, 2023.09. 13.23295404, 2023 | | 2023 |
Diffusion MRI tractometry findings in Dystonia-A UK Biobank study C MacIver, M Wadon, G Bailey, A Schalkamp, C Sandor, D Jones, C Tax, ... MOVEMENT DISORDERS 37, S278-S279, 2022 | | 2022 |