Alex Davidson

About Me

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I’m a PhD student in AI for Health at Imperial College London.

I’m building Singularity Health, an AI search tool for retrieving medical data.

I completed my medical degree in 2019 and worked as a doctor in the NHS from 2019 to 2024.

My PhD is hosted at the Institute of Global Health Innovation and my supervisors are Professor Lord Darzi, Hutan Ashrafian and James Teo.

My thesis focuses on using deep learning to create vision language models to calculate risk of patients with Multiple Sclerosis converting from relapsing remitting to secondary progressive. Alongside this I’m analysing data collected from Neotree using Machine Learning to calculate the risk of Neonatal encephalopathy.

Publications

  1. Soliman N, Haroutounian S, Hohmann AG, Krane E, Liao J, Macleod M, Davidson A, et al. (2021). Systematic review and meta-analysis of cannabinoids, cannabis-based medicines, and endocannabinoid system modulators tested for antinociceptive effects in animal models of pain. Pain, [Pubmed] [Google Scholar]

  2. Davidson A, Hughes S, Neena M, Moore L. (2020). Streptococcus agalactiae macrolide/lincosamide resistance; implications for puerperal antimicrobial therapy. Access Microbiology [Google Scholar] [Access Microbiology]

  3. Davidson R, Davidson A. (2020). Experience‐based learning in undergraduate clinical placements: a step too soon? Medical Education [Google Scholar]

  4. Hughes S, Davidson A, Moore L, Mughal N. (2020). Incidence of Group B Streptococcus bacteraemia in mum and newborn following antimicrobial prophylaxis – To screen or not to screen? Access Microbiology [Google Scholar] [Access Microbiology]

Podcast

I host The Computational Medicine Podcast where I interview clinicians, academics and business leaders involved in medical AI.

Website

This website is based on the Jekyll Researcher template. You can find the original template source code on GitHub.