Technical Research

Delving into the realm of advanced healthcare technology, the articles below highlight the remarkable technical expertise that drives our mission. From extracting invaluable insights from Electronic Health Records (EHRs) to employing state-of-the-art Transfer Learning techniques for sifting through verbose medical data, our team’s dedication to pushing the boundaries of technological possibility is evident. Explore how our research in Artificial Intelligence offers a glimpse into a future where technology and healthcare converge for rare and genetic conditions.

What can ThinkGenetic do with ChatGPT?

ChatGPT has tremendous buzz! Learn how ThinkGenetic evaluates new tech for flagging rare patients.

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Extracting Electronic Health Record (EHR) Data Using Transfer Learning

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 for a clinician to validate results. Two major types of data are evaluated in our algorithm; Structured and Unstructured. This proof of concept was created…

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Research in Artificial Intelligence for Rare Genetic Diseases

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. It is estimated that around 350M people are living with a rare disorder. 1 This number might actually be higher because most of the epidemiological data for…

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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 and, very recently, generate written and spoken human languages. This gives computers the ability to build language models that understand the grammar, structure and semantics…

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