Contact information
Research groups
Kexin Xu
DPhil Student in Medical Science
- MRC WIMM Centre of Computational Biology
I am a biologist who taught myself machine learning and deep learning. I am interested in using AI tools to interrogate biological data to derive insights that aid diagnosis and prognosis. I have developed/used AI workflows for natural language processing, multi-omics analysis, epidemiology, and medical imaging (X-ray & histology images).
In my PhD, I am developing a deep learning workflow to predict spatial transcriptomics from readily available histology images to bypass the expensive and time-consuming experimental protocol. I am interested in using AI to bridge multi-omics and medical imaging to improve clinical workflow.
Recent publications
Spatial fibroblast niches define Crohn's fistulae.
Journal article
McGregor C. et al, (2026), Nature, 649, 703 - 712
Author Correction: Spatial fibroblast niches define Crohn's fistulae.
Journal article
McGregor C. et al, (2025), Nature, 648
Assessing Metabolic Ageing via DNA Methylation Surrogate Markers: A Multicohort Study in Britain, Ireland and the USA.
Journal article
Xu K. et al, (2025), Aging Cell, 24
Designing a computer-assisted diagnosis system for cardiomegaly detection and radiology report generation.
Journal article
Zhu T. et al, (2025), PLOS Digit Health, 4
LAVASET: Latent Variable Stochastic Ensemble of Trees. An ensemble method for correlated datasets with spatial, spectral, and temporal dependencies.
Journal article
Kasapi M. et al, (2024), Bioinformatics, 40