A team led by Prof. Fei Ling from South China University of Technology developed PRTS (Pathology-driven Reconstruction of Transcriptomic States), a deep learning framework that predicts single-cell-resolution spatial transcriptomics directly from H&E-stained histology images.

On December 8, 2025, Space: Science & Technology was officially indexed in the Web of Science: Science Citation Index Expanded (SCIE). All articles published since 2021 will be progressively included into the SCIE database.

The team led by Prof. Shao Li at Tsinghua University has long focused on the mechanisms and early prevention of inflammation–cancer transformation. Their earlier work defined a newly recognized stage—the “exceedingly-early” stage of gastric cancer—and identified its cellular features, biomarkers, and therapeutic targets, forming an intelligent and precise early-prevention framework. 

A research team led by Prof. Tao Jiang and Prof. Jing Li from State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Science, in collaboration with Prof. Shi-Shun Zhao from College of Mathematics, Jilin University and Prof. Jianwei Wang from NHC Key Laboratory of Systems Biology of Pathogens and Christophe Merieux Laboratory, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, developed a viral risk prediction framework named GIVAL based on the pre-trained viral protein language model vBERT. This study proposes a general intelligent prediction method for assessing adaptation risks of unknown viruses.

ICFO researchers have set a new record by generating the shortest soft X-ray pulse to date –just 19.2 attoseconds long. This is the fastest flash of light, faster than the atomic unit of time (24.2 attoseconds), which is the time it takes the electron to orbit once around the hydrogen atom – the “atomic year”. This enables it to capture how matter behaves and interacts at atomic and subatomic scales with unprecedented temporal resolution.