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Finding Patients At Risk for Rare Disease

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[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

New Research to be Presented at AAAAI 2022 on Hereditary Angioedema

January 8, 2022 by Ruth O'Keefe

ThinkGenetic is proud to announce a recent collaborative research project will be presented at the 2022 American Academy of Allergy, Asthma & Immunology (AAAAI) annual meeting this February 25-29th in […]

News AAAI, algorithm, Amanda Logue, American Academy of Allergy, Ami Rosen, Asthma & Immunology, C1-inhibitor, Dave Jacob, Dawn Laney, EHR, HAE, Hereditary angioedema, Jessica Dronen, Jingjing Yang, LSDC, Marc Riedl, Marissa Shams, research, sensitivity, specificity, 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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