Dive into the world of Large Language Models (LLMs)! Corey Fournier, Senior Data Engineer at ThinkGenetic, reflects on LLMs and their compression in AI. Discover how recent research can revolutionize AI cost-effectiveness and its impact on ThinkGenetic’s approach to genetic condition risk assessment.
Application of Natural Language Processing in Clinical Applications
Natural Language Processing is a field of computational linguistics, computer science and more specially artificial intelligence (AI) that uses statistics, machine learning (ML) and deep learning (DL) techniques to understand […]
[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
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, […]
[VIDEO] New Study Results: Severity scoring system to identify patient risk for genetic conditions
Development and implementation of an automated severity scoring system to identify patients at possible increased risk for specific genetic conditions NSGC 2021 Poster UM353
ThinkGenetic Partners with Genome Medical
New Partnership Strengthens ThinkGenetic’s Continued Effort to Reduce Time to Diagnosis In an influential move for the genetics community, ThinkGenetic (ThinkGenetic.com) and Genome Medical (GenomeMedical.com), a nationwide specialty medical practice […]
