왼쪽부터 유자형 울산과학기술원(UNIST) 교수, 정혜원 건국대병원 교수, 오준용 UNIST 연구원, 채재병 건국대 연구원. UNIST 제공

From left: Professor Ja-Hyoung Ryu of Ulsan National Institute of Science and Technology (UNIST), Professor Hyewon Chung of Konkuk University Medical Center, researcher Jun-Yong Oh of UNIST, and researcher Jae-Byeong Chae of Konkuk University. Courtesy of UNIST

■ A group led by Professor Ja-Hyoung Ryu from the Department of Chemistry on the Ulsan National Institute of Science and Technology (UNIST) and Professor Hyewon Chung from the Department of Ophthalmology at Konkuk University Medical Center has developed nanoparticles for drug supply that selectively remove senescent retinal pigment epithelial (RPE) cells to deal with macular degeneration, the college introduced on the ninth. Using these nanoparticles, the analysis group succeeded in partially restoring visible perform in mice. The research was printed in the worldwide tutorial journal ‘Nature Communications’ on March 18 (native time). Macular degeneration, a situation the place the central vision turns into blurry or distorted attributable to injury to the macula in the retina, is without doubt one of the three main causes of blindness, together with cataracts and glaucoma. The group designed nanoparticles that focus on a protein known as Bst2, which is considerable on the floor of senescent RPE cells. The nanoparticles are designed to degrade and launch medicine solely in the particular surroundings of senescent cells, making certain security even when they’re misdelivered to regular cells. “Unlike existing treatments that only alleviate symptoms, our approach is distinct in that it targets the very origin of the disease,” stated Professor Chung. Professor Ryu added, “By simply changing the specific antibody on the nanoparticle’s surface, this technology could be applied to target and treat senescent cells in other age-related diseases.”

■ A group led by Professor Jong-Soo Lee from the Department of Energy Science and Engineering on the Daegu Gyeongbuk Institute of Science and Technology (DGIST) has developed a next-generation near-infrared picture sensor expertise by combining quantum dots and 2D semiconductors, DGIST introduced on the ninth. The joint analysis concerned groups led by Principal Researcher Min-Chul Park from the Korea Institute of Science and Technology (KIST) and Principal Researcher Yong-Hoon Kim from the Korea Institute of Materials Science (KIMS). The findings had been printed in the worldwide tutorial journal ‘Advanced Materials’ on the twentieth of final month (native time). The group maximized the benefits of every materials, utilizing the 2D semiconductor to compensate for the inherently sluggish cost switch of quantum dots. Moving past a single system, they efficiently fabricated a 32×32 pixel infrared picture sensor array and captured precise photographs. “We expect this to become a crucial foundational technology for developing high-resolution infrared cameras and next-generation intelligent optical sensor systems,” stated Professor Lee.

■ A group led by Professor Kyubok Lee from the Department of AI Convergence on the Gwangju Institute of Science and Technology (GIST) has developed an AI-powered dual-arm robotic greedy expertise that enables a robotic to make use of each arms collectively to stability and stably choose up and manipulate objects, very like a human, GIST introduced on the ninth. The analysis was pre-published on the preprint website arXiv on September 23, 2025, and is scheduled for formal presentation on the International Conference on Robotics and Automation (ICRA) in June. The core of the expertise is that the robotic autonomously learns to resolve instabilities triggered by arm collisions or power imbalances when greedy objects, thereby attaining a secure posture. It learns the coordination of each arms in a single course of with out breaking it down into separate levels. This is anticipated to contribute to the development of humanoid robotic analysis that makes use of the higher physique for object manipulation in a human-like method.


– doi.org/10.1038/s41467-026-70797-2
– doi.org/10.1002/adma.202520984
– doi.org/10.48550/arXiv.2509.19142

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