A physics- and spatially informed diffusion model was developed to achieve rapid Monte Carlo–consistent dose prediction for CyberKnife radiotherapy. The model integrates finite-size pencil beam dose distributions, planning CT images, and signed distance maps to incorporate physical, anatomical, and spatial prior information. PSIDMViT improved agreement with Monte Carlo reference doses across head-and-neck, lung, and liver cancer cases. The model reduced the time required for Monte Carlo–consistent dose estimation from approximately one hour to about 18 minutes, supporting more efficient high-precision radiotherapy planning and verification.

This study develops a novel “Hydrology–Environment–Ecology” framework that integrates aquatic ecological risk (AER) with landscape ecological risk (LER) across lake basin boundaries. Using Chaohu Lake—one of China's largest freshwater lakes—as a case study, the research reveals that both aquatic and terrestrial ecological risks increased significantly from 2000 to 2019, with habitat quality identified as the dominant driver of aquatic risk. The framework identifies an 8-km riparian buffer zone as the critical threshold for integrated conservation, and uncovers human activity as the dominant factor elevating landscape ecological risk through both direct and indirect pathways. The study provides a transferable paradigm for cross-scale lake ecosystem management.

- A joint team from KAIST, Gangnam Severance Hospital, and Asan Medical Center is the first to reveal how colorectal cancer progression reshapes the blood’s “metabolic map”

- The new method showed higher predictive power than CEA, a conventional blood biomarker, raising hopes for personalized treatment strategies

- An interdisciplinary idea born from the KAIST Master’s and PhD Venture Research Program led to a world-class research achievement

CAPE CANAVERAL SPACE FORCE STATION, Fla. – The Robotic Servicing of Geosynchronous Satellite (RSGS) payload, on board SpaceLogistic’s Mission Robotic Vehicle (MRV) has successfully launched from Space Launch Complex 40 at Cape Canaveral U.S. Space Force Station at about 5:15 pm on July 21, 2026. It is the first privately owned, operational robotic in-space servicing mission that extends the life and resilience of satellites in geosynchronous orbit (GEO) through on-orbit servicing.