Author

James J. P. Alix

Royal Hallamshire HospitalORCID 0000-0001-8391-9749Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Organism:human· 2 Approach:deep learning· 1 Assay:electronic health records· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Pamela J. ShawiD· 2 shared Ahmad Al KhleifatiD· 1 shared Alfredo IacoangeliiD· 1 shared Ammar Al‐ChalabiiD· 1 shared Amy F. A. KeerieiD· 1 shared Calum HarveyiD· 1 shared Christopher J. McDermottiD· 1 shared Eran ElhaikiD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersNeuroscience

Pamela J. ShawORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintJul 20, 2024

predicTTE: An accessible and optimal tool for time-to-event prediction in neurological diseases

Marcel Weinreich, Harry McDonough, Nancy‐Sarah Yacovzada…·Johnathan Cooper‐Knock

The paper introduces predicTTE, a tool for time-to-event prediction in neurological diseases, demonstrating its utility in genetic discovery and personalized medicine.

DOI 10.1101/2024.07.20.604416

humandeep learning

𝕏 PostBluesky

NeurosciencebioRxivPreprintMay 9, 2024

Maximising the translational potential of neurophysiology in amyotrophic lateral sclerosis: a study on compound muscle action potentials

Scott McKinnon, Zekai Qiang, Amy F. A. Keerie…·Richard J. Mead

This study compares compound muscle action potentials (CMAPs) in SOD1G93A mice and human ALS patients to identify translational alignment points for disease progression.

DOI 10.1101/2024.05.09.593349

mousehuman

𝕏 PostBluesky