This capstone project develops a machine learning pipeline to classify coding genetic variants as pathogenic versus benign using pretrained protein language model embeddings (ESM2). The work supports ...
Levi Sap Nei Thang’s new album, ‘Childhood Memories’, was released on New Year’s Day of 2026. This album serves as an homage to her parents, weaving personal narratives while capturing the essence of ...
Genetic risk models, including PREMMplus and BOADICEA/CanRisk, refine breast cancer risk assessment by incorporating genetic status and polygenic risk scores. Challenges in classifying gene variants, ...
SAP has released its November security updates that address multiple security vulnerabilities, including a maximum severity flaw in the non-GUI variant of the SQL Anywhere Monitor and a critical code ...
Research Question: What is the additive value of variant functional testing when applied across a cohort of patients undergoing evaluation of potential BrS? Conclusions: This cohort-scale APC dataset ...
Background Improving the precision and accuracy of variant classification in clinical genetic testing requires further specification and stratification of the American College of Medical ...
Every since we started this project, one of the most asked questions is: "How do we maintain the classification?" And the second most asked questions is: "Why is the classification maintenance app not ...
Abstract: Music genre classification contributes largely to information retrieval for organizing growing collections of music. The process of classification of music is very difficult and unreliable.
Conclusions: This study demonstrates the power of a disease-specific PE-ACMG variant classification framework to substantially reduce the VUS burden. Although promising in CPVT, future studies are ...
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