Publications by authors named "S N Hart"

Germline BRCA2 loss-of function variants, which can be identified through clinical genetic testing, predispose to several cancers. However, variants of uncertain significance limit the clinical utility of test results. Thus, there is a need for functional characterization and clinical classification of all BRCA2 variants to facilitate the clinical management of individuals with these variants.

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Rubinstein-Taybi syndrome (RTS) is a congenital disorder with characteristic clinical manifestations. In the vast majority of cases, it is caused by mutations of the gene encoding the transcriptional co-activator cAMP-response element binding protein (CBP)-binding protein (CREBBP). It has been thought to be a tumor predisposition syndrome as RTS patients have an increased risk of developing tumors including meningiomas.

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With the increasing utilization of exome and genome sequencing in clinical and research genetics, accurate and automated extraction of human phenotype ontology (HPO) terms from clinical texts has become imperative. Traditional methods for HPO term extraction, such as PhenoTagger, often face limitations in coverage and precision. In this study, we propose a novel approach that leverages large language models (LLMs) to generate synthetic sentences with clinical context, which were semantically encoded into vector embeddings.

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DEK::AFF2 fusion nonkeratinizing squamous cell carcinoma (NKSCC) is an emerging entity in the sinonasal tract, temporal bone, and skull base. However, the clinical behavior of these tumors has not been well studied. Here, we report the largest cohort of DEK::AFF2 carcinomas to determine if morphology, mitotic rate, and/or Ki-67 IHC are associated with patient outcomes, including a comparison with high-risk human papillomavirus (HPV)-associated and independent patients.

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Synopsis of recent research by authors named "S N Hart"

  • - S N Hart's recent research explores diverse topics, including literacy profiles in adolescents with Specific Learning Disabilities, veterinary behavioral management for captive primates, interprofessional competencies in clinical settings, and the use of AI in predicting tumor suppressor gene functionality.
  • - One of Hart's key findings highlights that many adolescents demonstrate below-average word level skills and reading comprehension, particularly noting that difficulties in word level skills are more prevalent than comprehension issues.
  • - Additionally, Hart emphasizes the importance of collaborative clinical reasoning in interprofessional education and the significance of integrating predictive AI methods to classify missense variants in breast cancer genes, thereby aiding clinical diagnoses and treatment strategies.