Prediction of Single Cell Drug Response for Precision Cancer Medicine using Foundational Deep Learning Models
Dnr:
NAISS 2025/22-902
Type:
NAISS Small Compute
Principal Investigator:
Kasper Karlsson
Affiliation:
Karolinska Institutet
Start Date:
2025-07-01
End Date:
2026-07-01
Primary Classification:
10203: Bioinformatics (Computational Biology) (Applications at 10610)
Webpage:
Allocation
Abstract
In the projects that run on Tetralith we will use single cell and cell barcode data to quantify tumor hetergeneity, analyze single cell data and assess tumor subclone frequency changes during drug treatment or as the primary tumor develops metastases in vivo. With cell barcode data we can trace a large number of tumor clones and see if they are sensitive or resistant to specific drugs. We will use this to find drugs that complement standard of care in different cancer types, a concept that I have termed “Precision Lethality”.