This release of the Human Disease Ontology includes 12,335 disease classes, 10,065 with textual definitions (81.6%). Translation files include 11,813 labels, 11,456 synonyms, and 6,567 definitions ...

This August 2026 release of the Human Disease Ontology includes 12,282 disease classes, 10,010 with textual definitions (81.5%). With 736 Equivalent and 9,699 SubClassOf Axioms. Translation files i...

Repository for the Human Disease Ontology. Contribute to DiseaseOntology/HumanDiseaseOntology development by creating an account on GitHub.

This release of the Symptom Ontology includes 895 classes, 424 with textual definitions (47.4%), with the addition of tenderness. Full Changelog: v2024-05-17...v2026-07-30

Repository for the Human Disease Ontology. Contribute to DiseaseOntology/HumanDiseaseOntology development by creating an account on GitHub.

Presentation for the 19th Biocuration meeting, April 2026.

This approach efficiently reveals potential associations between human microbes and diseases through multi-scale dynamic topological graph neural networks and feature context learning. It provides more effective guidance for interpreting disease pathogenesis and designing targeted treatment strategi …

RNA therapeutics are transforming precision medicine, yet a dedicated resource for validated agents has been lacking. Here, we introduce theRNA (https://therna.renlab.cn/), the first comprehensive database of 6860 experimentally validated RNA therapeutics targeting 1310 diseases in human or animal m …

This release of the Human Disease Ontology includes 12,021 disease classes, 9,737 with textual definitions (81.0%). Translation files now include 11,848 labels (98.6%), 11,477 synonyms (59.0%), and...

Disease Ontology (DO) Nosology Program https://www.disease-ontology.org/resources/nosology/ The Nosology training program is coordinated by the Human Disease...

Announcing Our Scientific Committee – #Biocuration2026 We are proud to introduce the Scientific Committee for the 19th Annual International Biocuration Conference, taking place in Cape Town, South Afr...

Multi-omic data analysis is essential for scientific discovery in precision medicine. However, translating statistical results of omic data analysis into novel scientific hypothesis remains a significant challenge. Human experts must manually review ...

Complementary therapies are being increasingly used by cancer survivors. As a channel for customers to share their feelings, outcomes, and perceived knowledge about the products purchased from e-commerce platforms, Amazon consumer reviews are a ...

The Human Disease Ontology Knowledgebase (DO-KB; https://disease-ontology.org/), a Global Core Biodata Resource, serves as a reference framework for multiscale biomedical data integration and analysis, within a unifying etiology-based disease classification. In this 2026 update of the Human Disease …

This release of the Human Disease Ontology includes 11,997 disease classes, 9,713 with textual definitions (81.0%). Translation files now include 11,824 labels (98.6%), 11,483 synonyms (59.1%), and...

This release of the Human Disease Ontology includes 11,985 disease classes, 9,698 with textual definitions (80.9%). Translation files now include 11,582 labels (96.6%), 11,490 synonyms (59.2%), and...

Abstract. Lifestyle factors (LSFs) are increasingly recognized as instrumental in both the development and control of diseases. Despite their importance, t

This release of the Human Disease Ontology includes 11,953 disease classes, 9,656 with textual definitions (80.8%). Translation files now include 11,275 labels (94.3%), 11,495 synonyms (59.2%), and...

In the emerging field of RNA drugs, circular RNA (circRNA) has attracted much attention as a novel multifunctional therapeutic target. Delving deeper into the intricate interactions between circRNA an...

Papers, patents, and clinical trials are essential scientific resources in biomedicine, crucial for knowledge sharing and dissemination. However, these documents are often stored in disparate database...

Noncoding RNAs(ncRNAs), including piwi-interacting RNA(piRNA), long noncoding RNA(lncRNA), microRNA(miRNA), small nucleolar RNA(snoRNA), and circular RNA(circRNA), contribute significantly to gene exp...

This release of the Human Disease Ontology includes 11,926 disease classes, 9,619 with textual definitions (80.7%). Diseases revised and expanded include hereditary spastic paraplegias, cherubisms,...

🙌Thank you for joining the ELIXIR- NIH Office of Data Science Strategy track programme and chatting with us at the ELIXIR booth at #ISMBECCB2025! ✨ Our session yesterday covered #ontology and knowled...

Development of long-term biodata resources, by design, depends on a stable data model with persistent identifiers, regular data releases, and reliable responsiveness to ongoing community needs. Addres...

YouTube video by Disease Ontology

Development of long-term biodata resources, by design, depends on a stable data model with persistent identifiers, regular data releases, and reliable responsiveness to ongoing community needs. Addres...