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Extracting Electronic Health Record (EHR) Data Using Transfer Learning

January 9, 2023 Corey Fournier, Senior Data Engineer 1 Comment

by Corey Fourier, 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… CONTINUE

Filed Under: Research, Tech Tagged With: 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

ThinkGenetic and Guardian Research Network Announce Partnership

July 28, 2022 Ruth O'Keefe 2 Comments

Guardian Research Network® and ThinkGenetic Announce Collaborative Partnership to Accelerate Diagnosis and Treatment Options for Patients with Genetic Diseases and Inherited Predisposition to Cancer Joint effort recognizes combined missions to support… CONTINUE

Filed Under: News, Partners, Press Tagged With: 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

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 Ruth O'Keefe Leave a Comment

2021 Concordia - ThinkGenetic

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,… CONTINUE

Filed Under: News Tagged With: 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

New Study Results: Severity scoring system to identify patient risk for genetic conditions #NSGC21

September 23, 2021 Ruth O'Keefe Leave a Comment

Development and implementation of an automated severity scoring system to identify patients at possible increased risk for specific genetic conditions NSGC 2021 Poster UM353 Authors: Dawn Laney, MS, CGC 1,2… CONTINUE

Filed Under: Education, Events, News Tagged With: 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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