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Bio
He founded a cloud desktop service in 2007 which was awarded an excellence prize at a government competition. He also co-founded a medical non-profit organization in 2009, offering free medical care for homeless people in Seoul. During residency, Joon-Nyung used computer vision and machine learning for clinical research on strokes and established a nationwide multi-center stroke registry which is still actively managed with national funding.
In 2020, the unexpected upside of the COVID-19 pandemic demanded innovative and timely technological solutions to support healthcare workers. In cooperation with the Korea CDC, Joon-Nyung successfully deployed a clinical decision support platform for the prediction of worsening COVID-19 patients, which uses machine learning based on Korea’s largest COVID-19 data set. The solution enabled unprecedented aid for physicians on patient selection and monitoring. In affirmation, this project was selected as WHO's Digital Health Atlas COVID-19 section, then funded by Google.
Joon-Nyung now trains as a clinical fellow specializing in stroke management, aiming to revolutionize patient care with precision medicine. In this context, he recently launched a clinical data platform with a focus on empowering clinical researchers with efficient data collection and management. He is also focusing on using advanced technology for clinical research, such as using computer vision for 8 semi-automatic pathologic analyses of stroke thrombi and incorporating machine learning for the prediction of unidentified cardiac diseases in stroke patients.
In 2020, the unexpected upside of the COVID-19 pandemic demanded innovative and timely technological solutions to support healthcare workers. In cooperation with the Korea CDC, Joon-Nyung successfully deployed a clinical decision support platform for the prediction of worsening COVID-19 patients, which uses machine learning based on Korea’s largest COVID-19 data set. The solution enabled unprecedented aid for physicians on patient selection and monitoring. In affirmation, this project was selected as WHO's Digital Health Atlas COVID-19 section, then funded by Google.
Joon-Nyung now trains as a clinical fellow specializing in stroke management, aiming to revolutionize patient care with precision medicine. In this context, he recently launched a clinical data platform with a focus on empowering clinical researchers with efficient data collection and management. He is also focusing on using advanced technology for clinical research, such as using computer vision for 8 semi-automatic pathologic analyses of stroke thrombi and incorporating machine learning for the prediction of unidentified cardiac diseases in stroke patients.
Research Interests
Papers共 46 篇Author StatisticsCo-AuthorSimilar Experts
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JoonNyung Heo,Hyungwoo Lee,Il Hyung Lee,In Hwan Lim,Soon-Ho Hong, Joonggyeong Shin,Hyo Suk Nam,Young Dae Kim
Jae Wook Jung, Kwang Hyun Kim, Jaeseob Yun, Young Dae Kim,JoonNyung Heo, Hyungwoo Lee, Jin Kyo Choi, Il Hyung Lee, In Hwan Lim, Soon-Ho Hong, Byung Moon Kim, Dong Joon Kim,
International journal of stroke : official journal of the International Stroke Societypp.17474930241265652-17474930241265652, (2024)
European Radiologypp.1-11, (2024)
Jae Wook Jung, Kwang Hyun Kim, Jaeseob Yun,Young Dae Kim,JoonNyung Heo,Hyungwoo Lee,Jin Kyo Choi,Il Hyung Lee,In Hwan Lim,Soon-Ho Hong,Byung Moon Kim,Dong Joon Kim,
JAMA network openno. 4 (2024): e246878-e246878
Journal of Neurologypp.1-10, (2024)
European Radiologypp.1-3, (2024)
European radiologypp.1-9, (2023)
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