Leveraging sequences missing from the human genome to diagnose cancer
Jan 2025·
·
1 min read
I. georgakopoulos soares
Equal contribution
,O. yizhar barnea
Equal contribution
Ioannis Mouratidis
Equal contribution
,Et al.
Abstract
Cancer detection using liquid biopsies represents a paradigm shift in early diagnosis. This study leverages sequences missing from the human genome (nullomers) to develop a novel approach for cancer detection and diagnosis.
Type
Publication
Communications Medicine, 5(1)
This work demonstrates how sequences that are absent from the human genome can be leveraged as biomarkers for cancer detection, with potential applications in liquid biopsy-based diagnostics.
Authors
Authors
Authors
Ioannis Mouratidis
(he/him)
Research Engineer
Research engineer focused on AI safety, alignment, and AIxBio security. I study how
capabilities and values emerge during model training and build scalable interventions to align
frontier models, drawing on deep expertise in biosecurity and biological foundation models.
38 publications (12 first or senior author) and 3 patents in large-scale data analysis and ML
for biology; co-founded an AI-driven cancer-diagnostics startup and authored grants securing
$4M+ in competitive funding.
Authors