KAUST Center of Excellence for Generative AI (Health and Wellness, BCB theme)
Generative-AI methods applied to BCB-themed health and wellness within the KAUST Center of Excellence for Generative AI. Sub-WBS FCC/1/5940-07-02.
Overview
Generative-AI methods applied to BCB-themed health and wellness within the KAUST Center of Excellence for Generative AI. Sub-WBS FCC/1/5940-07-02.
Funding
- Funder: KAUST Center of Excellence for Generative AI (CoE)
- Grant ID:
FCC/1/5940-07-02 - Role: PI
- Period: 2024–ongoing
Team
- Robert Hoehndorf — PI (KAUST (Professor of Computer Science))
Recent publications acknowledging this grant
- (2025) Lattice-based $ALC}$ ontology embeddings with saturation
- (2024) Neuro-symbolic AI in Life Sciences
- (2023) DeepGOMeta: Functional Insights into Microbial Communities with Deep Learning-Based Protein Function Prediction
- (2022) INDIGENA: inductive prediction of disease--gene associations using phenotype ontologies Supplementary Material
- (2022) Exploring the Use of Ontology Components for Distantly-Supervised Disease and Phenotype Named Entity Recognition
- (2015) The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients
- (2012) Improving the classification of cardinality phenotypes using collections
Tags: generative AI, knowledge graphs, neuro-symbolic AI, drug discovery, rare disease, ontology embeddings