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Monitoring the recovery process accurately with a medical needle and thread!

DGIST-Yonsei University-Korea University Collaborative research team has developed a suture-type electronic component that can wirelessly monitor vital signs in the body This new technology is expected to be easily applicable in orthopedic/medical rehabilitation, including personalized rehabilitation ....

South Korea , Kunwoo Lee , Young Jang , Jaehong Lee , Jungmok Seo , Korea University , Korea University College Of Medicine , Yonsei University Professor Jungmok Seo , Yonsei University , Department Of Robotics , Electroceuticals Technology Development , President Kunwoo Lee , Professor Jaehong Lee , Mechanical Electronics , Professor Jungmok Seo , Korea University College , Professor Wooyoung Jang , Professor Jaehong , Woo Young Jang , Korea Medical Device Development Project , Korea Medical Device Development Fund , Excellent Young Researchers Project , Electroceuticals Technology Development Project , Mid Career Investigator Support Project , Authore Mail Address ,

DGIST unveils wireless electronic sutures for advanced health monitoring

DGIST (President Kunwoo Lee) announced on the 16th (Tue) that a research team led by Professor Jaehong Lee of the Department of Robotics and Mechanical Electronics has developed a new human implantable, wireless, health monitoring electronic suture system through joint research with a team from Yonsei University and Korea University. ....

South Korea , Young Jang , Jungmok Seo , Kunwoo Lee , Jaehong Lee , Dgist Daegu Gyeongbuk Institute Of Science , Yonsei University , Department Of Robotics , Electroceuticals Technology Development , Yonsei University Professor Jungmok Seo , Korea University College Of Medicine , Korea University , Daegu Gyeongbuk Institute , President Kunwoo Lee , Professor Jaehong Lee , Mechanical Electronics , Professor Jungmok Seo , Korea University College , Professor Wooyoung Jang , Woo Young Jang , Korea Medical Device Development Project , Korea Medical Device Development Fund , Excellent Young Researchers Project , Electroceuticals Technology Development Project , Mid Career Investigator Support Project ,

Researchers develop wireless electronic suture for postoperative long-term monitoring of soft tissue

A research team led by Professor Jaehong Lee of the Department of Robotics and Mechanical Electronics (DGIST) has developed a new human implantable, wireless, health monitoring electronic suture system through joint research with a team from Yonsei University and Korea University. The developed wireless electronic suture can be easily applied in the medical field and is expected to be used in various orthopedic fields, such as patient-customized rehabilitation. ....

South Korea , Jaehong Lee , Mugeun Lee , Korea University , Yonsei University , Department Of Robotics , Professor Jaehong Lee , Mechanical Electronics , Korea University College , Professor Wooyoung Jang , Professor Jaehong , Postoperative Long Term Monitoring , Mechanical Characteristics , Reconstructed Soft Tissues Using Biocompatible , Wireless Electronic Sutures ,

Monitoring the recovery process accurately wi

Monitoring the recovery process accurately wi
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South Korea , Jungmok Seo , Jaehong Lee , Young Jang , Kunwoo Lee , Yonsei University Professor Jungmok Seo , Department Of Robotics , Electroceuticals Technology Development , Korea University , Korea University College Of Medicine , Yonsei University , President Kunwoo Lee , Professor Jaehong Lee , Mechanical Electronics , Professor Jungmok Seo , Korea University College , Professor Wooyoung Jang , Professor Jaehong , Woo Young Jang , Korea Medical Device Development Project , Korea Medical Device Development Fund , Excellent Young Researchers Project , Electroceuticals Technology Development Project , Mid Career Investigator Support Project , Authore Mail Address , Long Term Monitoring ,

New AI model uses federated learning for multi-organ segmentation based on medical image data

Researchers have successfully developed the technology that can accurately segment different body organs by effectively learning medical image data used for different purposes in different hospitals, which is expected to greatly contribute to the development of large-scale medical AI models in the future. ....

Kilian Pohl , Soopil Kim , Department Of Robotics , Daegu Gyeongbuk Institute Of Science Technology , Ehsan Adeli At Stanford University , Medical Image Analysis , Professors Kilian Pohl , Ehsan Adeli , Stanford University , Professor Sanghyun Park , Mechatronics Engineering , Daegu Gyeongbuk Institute , Professor Park ,