Stu Maitland- Doctor, Neuroinformatics

About me

I'm an active clinical researcher, looking at why we lose strength as we grow older. I'm a programmer, interested in how we can use computers to model complex neurological systems. My experience is in Python (especially Django) and machine learning.
This site is a sort of portfolio to gather together odds and ends that I've been working on.

Projects

Micro-EMG

I've worked in a team to develop a new form of diagnostic aid for neurophysiology. I used signal processing and machine learning for determining muscle fibre location and behaviour.

Grip strength calculator

Grip strength is an important predictor of mortality. I used existing population measures of grip strength to build a z-score calculator, to allow the severity of muscle weakness to be calculated by researchers. Built in JS.

Explain This Paper

I built this website in Django to help doctors understand complicated topics in scientific literature. There's a real gap in translating research into the real world, which Explain This Paper hopes to fill

Mediwikis

During medical school I built a website in PHP, used by medical students to share information and learn together. During it's peak it was being used by thousands of students every day, with over 9,000 edits made!

Publications

Ipsilateral Motor Evoked Potentials as a Measure of the Reticulospinal Tract in Age-Related Strength Changes. Maitland S, Baker SN. Frontiers in Aging Neuroscience 2021;13. doi:10.3389/fnagi.2021.612352/full
AI: simply reinforcing medicine’s worst biases?Maitland S, McElnay P, Brady R. BMJ Innovations 2020;6. doi:10.1136/bmjinnov-2019-000376.
Sarcopenia and frailty in individuals with dementia: A systematic review. Waite SJ, Maitland S, Thomas A, Yarnall AJ. Archives of Gerontology and Geriatrics 2021;92:104268. doi:10.1016/j.archger.2020.104268 target="_blank".
Assessing inter-rater reproducibility in MScanFit MUNE in a 6-subject, 12-rater “Round Robin” setup Sørensen DM, Maitland S, et al. Neurophysiologie Clinique 2021. do:10.1016/j.neucli.2021.11.002
Electrical cross-sectional imaging of human motor units in vivo Maitland S, Escobedo-Cousin E, Schofield I, et al. Clinical Neurophysiology 2022;136:82–92. doi:10.1016/j.clinph.2021.12.022
Serotonin syndrome Maitland S, Baker M. DTB 2022;60:88–91. doi:10.1136/dtb.2021.000032
Machine learning as a new horizon for colorectal cancer risk prediction? A systematic review Kennion O, Maitland S, Brady R. Health Sciences Review. doi:10.1016/j.hsr.2022.100041
Monitoring real-time junior doctor sentiment from comments on a public social media platform: a retrospective observational study Sirkis T, Maitland S. Postgraduate Medical Journal doi:10.1136/pmj-2022-142080
Ultrasound-Guided Motor Unit Scanning EMG (UltraMUSE). Maitland S, Hall J, McNeill A, Stenberg B, Schofield I, Whittaker R doi:10.1002/mus.27720

Talks

I've given a number of research talks to national & international audiences. This is just a small selection which have been recorded

Awards

Winner British society for clinical neurophysiology Adrian prize

2021

Winner Royal College Physicians London Turner Warwick Lecture

2022

Scholarship European Congress Clinical Neurophysiology Visiting Scholar

2018

Award HRH Duke of York Entrepreneur

2016

Winner GCHQ Coding competition

2014

Top prize EPSRC Create4Dementia Hackathon

2014

Stu Maitland

Doctor, neurophysiology researcher & computer scientist