01/09/2026
We hope you’re returning from the summer break rested and recharged! As the new academic year begins, we wish our entire community an inspiring and successful return to academic life.
We’re also bringing back our series — starting with research by Jan Bińkowski and Tomasz K. Wojdacz, recently published in Genome Medicine.
Their study shows how DNA methylation biomarkers and machine learning can be used for pan-cancer classification. Based on nearly 17,000 epigenetic profiles, the model distinguishes 54 healthy and cancerous tissue types and classifies central nervous system (CNS) tumors, achieving balanced accuracies of 90% and 94%, respectively.
The research highlights the potential of epigenetic biomarkers, machine learning and predictive modeling in cancer diagnostics and precision medicine.
🔬 Read the full article in Genome Medicine:
https://doi.org/10.1186/s13073-026-01650-w
🧬 Explore the Omics-based Predictive Platform (OPP):
https://opp.pum.edu.pl/
📚 Find the publication on PubMed:
https://pubmed.ncbi.nlm.nih.gov/42152108/
Congratulations to Jan Bińkowski and Tomasz K. Wojdacz on this publication!
More research from our members is coming soon.
CancerBiomarkers MachineLearning CancerDiagnostics PrecisionMedicine PanCancer GenomeMedicine