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Publications

Maximizing the use of social and behavioural information from secondary care mental health electronic health records.

Goodday SM. et al, (2020), J Biomed Inform, 107

Utilisation of the Signature Method to Identify the Early Onset of Sepsis from Multivariate Physiological Time Series in Critical Care Monitoring

HOWISON S. et al, (2020), Critical Care Medicine

Methotrexate and relative risk of dementia amongst patients with rheumatoid arthritis: a multi-national multi-database case-control study.

Newby D. et al, (2020), Alzheimers Res Ther, 12

Natural language processing for structuring clinical text data on depression using UK-CRIS.

Vaci N. et al, (2020), Evid Based Ment Health, 23, 21 - 26

Identifying Predictors of Suicide in Severe Mental Illness: A Feasibility Study of a Clinical Prediction Rule (Oxford Mental Illness and Suicide Tool or OxMIS).

Senior M. et al, (2020), Front Psychiatry, 11

Named entity recognition in electronic health records using transfer learning bootstrapped Neural Networks.

Gligic L. et al, (2020), Neural Netw, 121, 132 - 139

Validation of Plasma Proteomic Biomarkers Relating to Brain Amyloid Burden in the EMIF-Alzheimer's Disease Multimodal Biomarker Discovery Cohort.

Westwood S. et al, (2020), J Alzheimers Dis, 74, 213 - 225

Mental disorders and intimate partner violence perpetrated by men towards women: A Swedish population-based longitudinal study.

Yu R. et al, (2019), PLoS Med, 16

Discovery and validation of plasma proteomic biomarkers relating to brain amyloid burden by SOMAscan assay.

Shi L. et al, (2019), Alzheimers Dement, 15, 1478 - 1488

The Signature-based Model for Early Detection of Sepsis from Electronic Health Records in the Intensive Care Unit

Morrill J. et al, (2019)

CSF1R inhibitor JNJ-40346527 attenuates microglial proliferation and neurodegeneration in P301S mice.

Mancuso R. et al, (2019), Brain, 142, 3243 - 3264

CSF1R inhibitor JNJ-40346527 attenuates microglial proliferation and neurodegeneration in P301S mice

Mancuso R. et al, (2019), Brain, 142, 3243 - 3264

P3-245: DKK1 OVEREXPRESSION IN VITRO NOMINATES PROTEINS PREDICTING ALZHEIMER\textquotesingleS PATHOLOGY IN BLOOD

Shi L. et al, (2019), Alzheimer\textquotesingles & Dementia, 15, P1028 - P1028

Inflammatory biomarkers in Alzheimer's disease plasma.

Morgan AR. et al, (2019), Alzheimers Dement, 15, 776 - 787

Genetic and Real-World Clinical Data, Combined with Empirical Validation, Nominate Jak-Stat Signaling as a Target for Alzheimer's Disease Therapeutic Development.

Nevado-Holgado AJ. et al, (2019), Cells, 8

Primary fatty amides in plasma associated with brain amyloid burden, hippocampal volume, and memory in the European Medical Information Framework for Alzheimer's Disease biomarker discovery cohort.

Kim M. et al, (2019), Alzheimers Dement

A plasma protein classifier for predicting amyloid burden for preclinical Alzheimer's disease.

Ashton NJ. et al, (2019), Sci Adv, 5

A metabolite-based machine learning approach to diagnose Alzheimer-type dementia in blood: Results from the European Medical Information Framework for Alzheimer disease biomarker discovery cohort.

Stamate D. et al, (2019), Alzheimers Dement (N Y), 5, 933 - 938

A path signature approach for speech emotion recognition

Wang B. et al, (2019), Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 2019-September, 1661 - 1665

Cellular Phenotyping of Hippocampal Progenitors Exposed to Patient Serum Predicts Progression to Alzheimer\textquotesingles Disease

Maruszak A. et al, (2019), SSRN Electronic Journal

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