- Role of R. Hoehndorf
- PI
- Start
- 2024
- Grant ID
- FCC/1/5940-07-01
- Funder
- KAUST CoE GenAI
- Total amount
- 100,000
- Amount to BORG
- 100,000
- Currency
- USD
Connections
funder schema:funder
Referenced by
funded by borg:fundedBy
acknowledges borg:acknowledges
- Exploring the Use of Ontology Components for Distantly-Supervised Disease and Phenotype Named Entity Recognition
- Improving the classification of cardinality phenotypes using collections
- The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients
- Neuro-Symbolic AI in Life Sciences
Open in the interactive graph →
JSON-LD (this resource)
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"prov": "http://www.w3.org/ns/prov#",
"dct": "http://purl.org/dc/terms/",
"borg": "https://borg.kaust.edu.sa/kg/ns/",
"borg-id": "https://borg.kaust.edu.sa/kg/",
"owl": "http://www.w3.org/2002/07/owl#"
},
"@id": "https://leechuck.de/kg-browser/id/grant/coe-genai-bcb",
"@type": "borg:Grant",
"owl:sameAs": {
"@id": "https://borg.kaust.edu.sa/kg/grant/coe-genai-bcb"
},
"schema:name": "KAUST Center of Excellence for Generative AI (Health and Wellness, BCB theme)",
"schema:funder": {
"@type": "schema:Organization",
"schema:name": "KAUST Center of Excellence for Generative AI (CoE)",
"@id": "https://ror.org/01q3tbs38",
"schema:sameAs": [
"https://ror.org/01q3tbs38",
"https://doi.org/10.13039/501100004052"
]
},
"borg:funderShort": "KAUST CoE GenAI",
"borg:roleOfRH": "PI",
"borg:startYear": 2024,
"borg:endYear": null,
"borg:amountCurrency": "USD",
"borg:amountTotal": 100000,
"borg:amountToBORG": 100000,
"borg:amountNote": "$50,000/year for FY24/25 and FY25/26 (Biomedical/BCB theme). Verified email 2026-05-29.",
"borg:grantID": "FCC/1/5940-07-01",
"borg:internalProjectID": "5940",
"borg:grantIDSources": [
"WBS for CoE GenAI project 5940-07 (thread:000000000005cdc8); grant ID corrected to -07-01 per Robert 2026-05-29"
],
"schema:additionalType": "https://schema.org/MonetaryGrant",
"prov:wasDerivedFrom": [
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]
}
Machine-readable copy: data.jsonld. Full dataset: kg.jsonld.