Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/s0968-0004(98)01222-5 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
European consensus on endoscopic surgery for bilateral vocal fold immobility: classification and nomenclature.
Eur Arch Otorhinolaryngol
January 2025
Department of Otolaryngology and Phoniatrics-Head and Neck Surgery, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
Introduction: There are inconsistencies in how different endoscopic procedures to manage Bilateral Vocal Fold Immobility (BVFI) have been described in the literature. This limits our ability to compare functional outcomes. There is no unifying international terminology available that precisely describes the anatomical boundaries and extent of the different types of treatment.
View Article and Find Full Text PDFAuthor Correction: Towards unifying fatty liver nomenclature: a voice from the Middle East and North Africa.
Nat Rev Gastroenterol Hepatol
January 2025
Gastroenterology and Hepatology Service, Yerevan Medical Scientific Center, Yerevan, Armenia.
Elementary flow mapping across life cycle inventory data systems: A case study for data interoperability under the Global Life Cycle Assessment Data Access (GLAD) initiative.
Int J Life Cycle Assess
March 2024
Center for Environmental Solutions and Emergency Response, US Environmental Protection Agency, Cincinnati, OH, USA.
Purpose: Limited availability of life cycle assessment (LCA) data poses a significant challenge to its mainstream adoption, rendering it a central issue within the LCA community. The Global LCA Data Access (GLAD) network aims to increase the accessibility and interoperability of LCA data and offers benefits for different use cases. GLAD is an intergovernmental collaboration involving different stakeholders organized into working groups.
View Article and Find Full Text PDFBioMedGraphica: An All-in-One Platform for Biomedical Prior Knowledge and Omic Signaling Graph Generation.
bioRxiv
December 2024
Institute for Informatics, Data Science and Biostatistics (I2DB), Washington University School of Medicine, Washington University in St. Louis, St. Louis, MO, USA.
Artificial intelligence (AI) is revolutionizing scientific discovery because of its super capability, following the neural scaling laws, to integrate and analyze large-scale datasets to mine knowledge. Foundation models, large language models (LLMs) and large vision models (LVMs), are among the most important foundations paving the way for general AI by pre-training on massive domain-specific datasets. Different from the well annotated, formatted and integrated large textual and image datasets for LLMs and LVMs, biomedical knowledge and datasets are fragmented with data scattered across publications and inconsistent databases that often use diverse nomenclature systems in the field of AI for Precision Health and Medicine (AI4PHM).
View Article and Find Full Text PDFClassification and epidemiologic analysis of 86 diseases in .
Intractable Rare Dis Res
November 2024
Key Laboratory for Biotech-Drugs of National Health Commission, Key Laboratory for Rare & Uncommon Diseases of Shandong Province, Biomedical Sciences College & Shandong Medicinal Biotechnology Centre, Shandong First Medical University & Shandong Academy of Medical Sciences, Ji'nan, China.
Following the release of in May 2018, the Chinese government officially published in September 2023. To date, there is no unified standard and international consensus for rare diseases, and epidemiologic data for most rare diseases in China are lacking. We investigated 86 rare diseases on the second list using Orphanet and other databases to clarify the classification, nomenclature, and epidemiologic data for these diseases, and we summarized the genotype and phenotype of hereditary diseases.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!