Intestinal Stem Cells (ISCs) derived from a patient's own cells have garnered significant attention as a new alternative for treating intractable intestinal diseases due to their low risk of rejection. However, clinical application has been limited by safety and regulatory issues arising from conventional culture methods that rely on animal-derived components (xenogeneic components). A KAIST research team has developed an advanced culture technology that stably grows ISCs without animal components while simultaneously enhancing their migration to damaged tissues and regenerative capabilities.

A research team led by Prof. QIAN Peiyuan, Chair Professor of the Department of Ocean Science at The Hong Kong University of Science and Technology (HKUST), in collaboration with the Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), and the Yellow Sea Fisheries Research Institute of the Chinese Academy of Fishery Sciences (CAFS), has achieved a significant breakthrough in understanding the adaptive strategies of the deep-sea black coral Bathypathes pseudoalternata (B. pseudoalternata) and its symbiotic microbiome. The study has been published in the top international journal Cell Host & Microbe.

The therapeutic use of human calcitonin (CT) in humans is limited by rapid receptor desensitization (tachyphylaxis), which requires short-term dosing despite the need for long-term treatment. In contrast, fish CT-CT receptors (CTR) exhibit extraordinary resistance to desensitization, enabling lifelong calcium regulation in high-Ca²⁺ marine environments. Here, we analyze the evolutionary, structural, and functional distinctions between fish and human CT systems. We propose that the unique molecular structure of fish CT and CTR may provide templates for engineering durable therapeutic agents to overcome tachyphylaxis.

A joint research team from NIMS, Tokyo University of Science, and Kobe University has developed a new artificial intelligence (AI) device that exploits ion behavior to perform information processing. The team succeeded in reducing the computational load to about 1/100 of that required for conventional deep learning. The technology is expected to contribute to enhancing the information processing performance of "edge AI" operating directly on terminal equipment (an edge device). This research was published in ACS Nano on October 14, 2025.

New research from Fujita Health University reveals that talking can subtly delay the eyes’ ability to detect and stabilize on visual information. In experiments comparing talking, listening, and control conditions, only talking caused slower reaction, movement, and fixation times during rapid eye-movement tasks. Because driving depends heavily on fast gaze shifts, these delays may impair hazard detection and slow physical responses. The findings highlight the hidden risks of engaging in conversation while driving.

A research team developed a fully automated, drone-based phenotyping workflow that can measure key peanut canopy and architecture traits at scale—without the usual manual plot tracing and time-consuming image cleanup.

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen content without relying on labor-intensive field measurements.