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Finding Patients At Risk for Rare Disease

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Extracting Electronic Health Record (EHR) Data Using Transfer Learning

January 9, 2023 by Corey Fournier, Senior Data Engineer

At ThinkGenetic, Inc. our goal is to reduce the time to diagnosis for genetic and rare conditions. Given they are rare, we must be cognizant of the time it takes […]

News, Technical Research algorithms, BERT model, clinical note, EHR, electronic health records, genetic conditino, genetic condition, Google, ICD-10, Medical Coding, medical record, misdiagnosed, Name Entity Recognition, Natural Language Processing, NLP, Procedures codes, Rare Disease, rare genetic disease, Relation Extraction, Semantic Role labeling, Shi and Lin, Snomed, structured data, T5, Text-to-text Transfer Transformers, undiagnosed, unstructured data

Research in Artificial Intelligence for Rare Genetic Diseases

November 11, 2021 by Sarika Kondra

There are over 7000 rare genetic disorders (RGD) and only 5% of them have FDA approved treatments. Though the number of RGDs is high, they are heterogenous and geographically disparate. […]

Technical Research artificial intelligence, rare genetic disease, research, Sarika Kondra

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