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Disease Ontology: Latest results from PubMed
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Research article proteomics-based plasma biomarkers for predicting CRKP infection in ICU sepsis patients
Published: March 30, 2026 10:00
CONCLUSION: PLXNB1 and S100A1 serve as promising plasma biomarkers for early, non-culture-based differentiation of CRKP and CSKP infections. Their integration into clinical workflows could improve rapid diagnosis and guide targeted therapy in critically…
Long-term artificial sweetener exposure increases the risk of atherosclerosis
Published: March 25, 2026 10:00
This study aimed to elucidate the potential molecular mechanisms by which artificial sweeteners contribute to the initiation and progression of atherosclerosis, with the goal of providing a theoretical basis for the safety evaluation of artificial…
From genes to diagnosis: The impact of UNC5B and DOK5 in intracranial aneurysm detection and pathogenesis
Published: March 13, 2026 10:00
CONCLUSION: In conclusion, the UNC5B and DOK5 genes emerge as potential diagnostic biomarkers for intracranial aneurysms.There is a positive correlation between UNC5B expression and M1 macrophages and it is primarily found in fibroblasts, suggesting that…
Quantify unmet medical need across the disease landscape - A large language model-based methodology
Published: March 12, 2026 10:00
CONCLUSIONS: This accessible, scalable methodology enables funders and researchers, across governments, universities, healthcare organizations, and disease groups to tailor prioritization efforts according to unmet medical need in the context of their…
Ontology-driven association rule mining for biomedical entity relationships: integrating hierarchical knowledge to improve gene-disease discovery
Published: March 11, 2026 10:00
Reliable links between genes and diseases are central to biomedical research; however, many computational methods overlook the semantic and hierarchical layers of ontologies, missing indirect relationships and producing shallow association scores. We…
Exploring the phthalates-induced neurotoxicity mechanisms of neurodegenerative diseases via network toxicology, single-cell transcriptomics and molecular dynamic simulation
Published: March 4, 2026 11:00
Phthalates are considered to be a neurotoxicant, widely used in construction materials, packaging, and various medical products. Few studies have focused on the association between exposure to phthalates and risks on neurodegenerative diseases and thus…
Multiomics and experimental validation reveal theophylline's mechanism targeting IL1A/ACTB/TLR4 and identify synergistic drugs in hepatocellular carcinoma
Published: February 28, 2026 11:00
This study aimed to investigate the mechanism by which theophylline influences hepatocellular carcinoma (HCC) through the regulation of core targets and to identify its potential synergistic drugs. Integrated network pharmacology, multiomics data…
An Integrated Text Mining Approach for Discovering Pharmacological Effects, Drug Combinations, and Repurposing Opportunities of ACE Inhibitors
Published: February 27, 2026 11:00
The rapidly expanding body of biomedical literature encompasses a wealth of information concerning the pharmacological effects, mechanisms of action, adverse reactions, and repurposing potential of small-molecule therapeutics. Nevertheless, the systematic…
Mapping of EFO terms from the GWAS catalog data to multiple ontologies at the Rat Genome Database
Published: February 27, 2026 11:00
The laboratory rat, Rattus norvegicus, is an important model of many human diseases, and experimental findings in the rat have relevance to both human physiology and disease. The Rat Genome Database (RGD, https://rgd.mcw.edu/) is a model organism database…
Systematic benchmarking demonstrates large language models have not reached the diagnostic accuracy of traditional rare-disease decision support tools
Published: February 24, 2026 11:00
Large language models (LLMs) show promise in supporting differential diagnosis, but their performance is challenging to evaluate due to the unstructured nature of their responses, and their accuracy compared to existing diagnostic tools is not well…