A guide for the diagnosis of rare and undiagnosed disease: beyond the exome

S Marwaha, JW Knowles, EA Ashley - Genome medicine, 2022 - Springer
Rare diseases affect 30 million people in the USA and more than 300–400 million
worldwide, often causing chronic illness, disability, and premature death. Traditional …

Semantic similarity and machine learning with ontologies

M Kulmanov, FZ Smaili, X Gao… - Briefings in …, 2021 - academic.oup.com
Ontologies have long been employed in the life sciences to formally represent and reason
over domain knowledge and they are employed in almost every major biological database …

Genetic testing in the diagnosis of chronic kidney disease: recommendations for clinical practice

N Knoers, C Antignac, C Bergmann… - Nephrology Dialysis …, 2022 - academic.oup.com
The overall diagnostic yield of massively parallel sequencing–based tests in patients with
chronic kidney disease (CKD) is 30% for paediatric cases and 6–30% for adult cases. These …

Enhancing phenotype recognition in clinical notes using large language models: PhenoBCBERT and PhenoGPT

J Yang, C Liu, W Deng, D Wu, C Weng, Y Zhou… - Patterns, 2024 - cell.com
To enhance phenotype recognition in clinical notes of genetic diseases, we developed two
models—PhenoBCBERT and PhenoGPT—for expanding the vocabularies of Human …

Case for genome sequencing in infants and children with rare, undiagnosed or genetic diseases

D Bick, M Jones, SL Taylor, RJ Taft… - Journal of medical …, 2019 - jmg.bmj.com
Up to 350 million people worldwide suffer from a rare disease, and while the individual
diseases are rare, in aggregate they represent a substantial challenge to global health …

Natural language processing algorithms for mapping clinical text fragments onto ontology concepts: a systematic review and recommendations for future studies

MG Kersloot, FJP van Putten, A Abu-Hanna… - Journal of biomedical …, 2020 - Springer
Background Free-text descriptions in electronic health records (EHRs) can be of interest for
clinical research and care optimization. However, free text cannot be readily interpreted by a …

[HTML][HTML] The composition and capacity of the clinical genetics workforce in high-income countries: a scoping review

N Dragojlovic, K Borle, N Kopac, U Ellis, P Birch… - Genetics in …, 2020 - Elsevier
As genetics becomes increasingly integrated into all areas of health care and the use of
complex genetic tests continues to grow, the clinical genetics workforce will likely face …

Artificial intelligence enables comprehensive genome interpretation and nomination of candidate diagnoses for rare genetic diseases

FM De La Vega, S Chowdhury, B Moore, E Frise… - Genome Medicine, 2021 - Springer
Background Clinical interpretation of genetic variants in the context of the patient's
phenotype is becoming the largest component of cost and time expenditure for genome …

RareBench: Can LLMs Serve as Rare Diseases Specialists?

X Chen, X Mao, Q Guo, L Wang, S Zhang… - Proceedings of the 30th …, 2024 - dl.acm.org
Generalist Large Language Models (LLMs), such as GPT-4, have shown considerable
promise in various domains, including medical diagnosis. Rare diseases, affecting …

AMELIE speeds Mendelian diagnosis by matching patient phenotype and genotype to primary literature

J Birgmeier, M Haeussler, CA Deisseroth… - Science Translational …, 2020 - science.org
The diagnosis of Mendelian disorders requires labor-intensive literature research. Trained
clinicians can spend hours looking for the right publication (s) supporting a single gene that …