Video

Video | Combining clinical expertise and NLP-AI technology to help in earlier detecting rare diseases

On this rare 29th of February, we want to amplify the voices of those having to navigate the complexities of Rare Diseases daily. Amid the significant challenge of timely diagnosis, let’s consider the power of combining clinical expertise and NLP-AI technology to help in earlier detecting rare diseases.

Rare diseases

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In collaboration with Heart Center Aalst, we conducted a study in which complete Electronic Health Records of patients were processed and analyzed using LynxCare’s cutting-edge clinical NLP-AI technology in search of phenotypes compatible with aTTR-CM, a rare cardiac disease.

🎞️ Dive into the study methodology and learn about the commendable performance of the LynxCare NLP model in identifying patients at risk of ATTR-CM in our video.

📚 Published in ESC Heart Failure: Detection of transthyretin amyloid cardiomyopathy by automated data extraction from electronic health records - Moya - 2023 - ESC Heart Failure - Wiley Online Library

Moya, A., Oeste, C. L., Beles, M., Verstreken, S., Dierckx, R., Heggermont, W., Bartunek, J., Bogaerts, E., Masuy, I., Hens, D., Bertolone, D., and Vanderheyden, M. (2023) Detection of transthyretin amyloid cardiomyopathy by automated data extraction from electronic health records, ESC Heart Failure, doi: https://lnkd.in/eVypxBzh

In collaboration with Heart Center Aalst, we conducted a study in which complete Electronic Health Records of patients were processed and analyzed using LynxCare’s cutting-edge clinical NLP-AI technology in search of phenotypes compatible with aTTR-CM, a rare cardiac disease.

🎞️ Dive into the study methodology and learn about the commendable performance of the LynxCare NLP model in identifying patients at risk of ATTR-CM in our video.

📚 Published in ESC Heart Failure: Detection of transthyretin amyloid cardiomyopathy by automated data extraction from electronic health records - Moya - 2023 - ESC Heart Failure - Wiley Online Library

Moya, A., Oeste, C. L., Beles, M., Verstreken, S., Dierckx, R., Heggermont, W., Bartunek, J., Bogaerts, E., Masuy, I., Hens, D., Bertolone, D., and Vanderheyden, M. (2023) Detection of transthyretin amyloid cardiomyopathy by automated data extraction from electronic health records, ESC Heart Failure, doi: https://lnkd.in/eVypxBzh

Video

Video | Combining clinical expertise and NLP-AI technology to help in earlier detecting rare diseases

On this rare 29th of February, we want to amplify the voices of those having to navigate the complexities of Rare Diseases daily. Amid the significant challenge of timely diagnosis, let’s consider the power of combining clinical expertise and NLP-AI technology to help in earlier detecting rare diseases.

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In collaboration with Heart Center Aalst, we conducted a study in which complete Electronic Health Records of patients were processed and analyzed using LynxCare’s cutting-edge clinical NLP-AI technology in search of phenotypes compatible with aTTR-CM, a rare cardiac disease.

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