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Bigdeli et al., 2025 - Google Patents

Azurify integrates cancer genomics with machine learning to classify the clinical significance of somatic variants

Bigdeli et al., 2025

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Document ID
14527889582374497170
Author
Bigdeli A
Chandrashekar D
Chitturi A
Rushton C
Mackinnon A
Segal J
Harada S
Sacan A
Faryabi R
Publication year
Publication venue
bioRxiv

External Links

Snippet

Accurate classification of somatic variations from high-throughput sequencing data has become integral to diagnostics and prognostics across various cancers. However, the classification of these variations remains highly manual, inherently variable, and largely …
Continue reading at www.biorxiv.org (PDF) (other versions)

Classifications

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    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/345Medical expert systems, neural networks or other automated diagnosis
    • GPHYSICS
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    • GPHYSICS
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    • G06F19/322Management of patient personal data, e.g. patient records, conversion of records or privacy aspects
    • GPHYSICS
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    • G06F19/3443Medical data mining, e.g. in previous cases of different patients
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    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
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    • G06F19/20Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for hybridisation or gene expression, e.g. microarrays, sequencing by hybridisation, normalisation, profiling, noise correction models, expression ratio estimation, probe design or probe optimisation
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