Personalized cancer treatment prediction (KCSH Pathway to Impact 2025)
Personalized cancer treatment prediction work funded through KCSH Pathway to Impact 2025. Sub-WBSes FCC/1/5932-10-02, FCC/1/5932-11-01, FCC/1/5932-12-10.
Overview
Personalized cancer treatment prediction work funded through KCSH Pathway to Impact 2025. Sub-WBSes FCC/1/5932-10-02, FCC/1/5932-11-01, FCC/1/5932-12-10.
Funding
- Funder: KAUST Center for Smart Health, Pathway to Impact Grant Program 2025
- Grant ID:
FCC/1/5932-10-02 - Role: PI
- Period: 2025–2026
Team
- Robert Hoehndorf — PI (KAUST (Professor of Computer Science))
Recent publications acknowledging this grant
- (2022) Causal Knowledge Graphs: Leveraging Background Knowledge for Causal Inference at Scale
Tags: machine learning, knowledge graphs, cancer, complex disease, phenotype reasoning, Saudi-specific