Improving health of Saudi population

Mon, May 18 2026

Neuro-Symbolic AI Rare disease

Overview

Health informatics and precision-medicine pipelines tailored to Saudi-population genetic and phenotypic data.

Period: 2019–2021

Funding

KAUST Center Competitive Fund — Grant ID: URF/1/1976-31-01 (PI) — USD 324,000

Team

Robert Hoehndorf — PI (KAUST (Professor of Computer Science))
Sakhaa Alsaedi — MSc (alumnus)
Yang Liu — MSc (alumnus)

Publications acknowledging this project (5)

(2020) Semantic similarity and machine learning with biomedical ontologies
(2019) Formal axioms in biomedical ontologies improve analysis and interpretation of associated data
(2018) Formal axioms in biomedical ontologies improve analysis and interpretation of associated data
(2012) DDIEM: Drug Database for Inborn Errors of Metabolism
(2012) Linking common human diseases to their phenotypes; development of a resource for human phenomics

Topics: Neuro-symbolic AI, Rare disease