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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

[Press Release] Guardian Research Network and ThinkGenetic Announce Collaborative Partnership to Accelerate Diagnosis and Treatment Options for Patients with Genetic Diseases and Inherited Predisposition to Cancer

July 28, 2022 by Ruth O'Keefe

 Guardian Research Network, Inc.® (GRN) and ThinkGenetic, Inc. announce a strategic collaboration to accelerate the diagnosis and support the development of treatment options for patients with rare and genetic diseases.

News, Partners, Press Releases algorithm, announcement, Bruce Braughton, Dave Jacob, diagnostic odyssey, digital health, EHR, electronic health records, genetic condition, genetic disease, GRN, Guardian Research Network, healthcare, Mark Watson, partnership, press release, PTC Therapeutics, Rare Disease, ThinkGenetic

[Press Release] Massachusetts Startup Wins Horizon Prize, Powered by MIT Solve, with Algorithm-Based FindEHR Solution for Finding Undiagnosed Genetic Disorder Patients using Electronic Medical Records

October 7, 2021 by Ruth O'Keefe

ThinkGenetic combines modern machine learning with practical information in genetics to solve a major concern in healthcare – the identification of patients living with undiagnosed rare genetic conditions Boston, MA, […]

Investor News, News, Press Releases AI, algorithm, artificial intelligence, Boston startup, Dave Jacob, electronic health records, FindEHR, Horizon Prize, Horizon Therapeutics, machine learning, Massachusetts Institute of Technology, medical health records, MIT Solve, ThinkGenetic, Tim Walbert, undiagnosed patients

[VIDEO] New Study Results: Severity scoring system to identify patient risk for genetic conditions

September 23, 2021 by Ruth O'Keefe

Development and implementation of an automated severity scoring system to identify patients at possible increased risk for specific genetic conditions NSGC 2021 Poster UM353

Education, Investor News, News AI, algorithm, Dawn Laney, differential diagnosis, EHR, electronic health records, Emory University, Fabry disease, Gaucher disease, genetic condition, genetic counselor, genetic risk, hereditary angiodema, ICD10, Jessica Dronen, Lafayette General Hospital, machine learning, medical records, NSGC21, patient identification, pilot project, research study, Takeda, ThinkGenetic, ThinkGenetic Foundation, UM353

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