Predicting Subclonal Drug Response from Single-cell Sequencing for Precision Oncology

The lay summary for this project is work-in-progress.

Data-Intensive Research Project

Prof. Dr. Jack Kuipers

ETHZ

Related Posts

Personalized Swiss Sepsis Study: Detection and modelling of sepsis using machine learning to analyze continuous ICU monitoring, laboratory, microbiology, and -omics data for personalized sepsis management (PSSS).

Read more

Personalized Ovarian Stimulation Protocols: A Translational Medicine Approach for Optimizing Fertility Outcomes (PROSPECT- study)

Read more

PRECISE: Identification of biomarkers and therapeutic targets in inflammatory disease immunotherapy by high-dimensional single cell analysis and cluster proteomics.

Read more