Recently, a research team led by Professor Junbo Yang at the National University of Defense Technology has proposed a novel permittivity regulation framework based on programmable interface atomic rearrangement. They developed an Ag-In₃SbTe₂ (IST) interface atomic rearrangement metamaterial (ARM), enabling full-spectrum and time-domain dynamic modulation, as well as spatiotemporal thermal radiation tailoring. The ARM exhibits broad and continuous spectral tunability, with modulation amplitudes reaching 64.74% in the 3-5 μm band and 73.94% in the 8-14 μm band, accompanied by rich temporal variations.

A bidirectional Mendelian randomization study of 207 gut microbiota species reveals eight microbes with causal links to pancreatic cancer. Three species reduce cancer risk, while five elevate it. Pancreatic cancer also alters nine microbial levels, indicating a gut-pancreas axis interaction. The findings highlight microbiota’s potential for early diagnosis and treatment.

A comprehensive expert consensus published in Intelligent Medicine establishes the first comprehensive framework for classifying, annotating, and quality-controlling dry eye imaging datasets across five core modalities, directly addressing the upstream data infrastructure gap that has long constrained AI development in ophthalmology.

The research team led by Professor Hoseok Park of the Department of Chemical Engineering of SKKU announced that they have succeeded in dramatically improving the cycle life and capacity of aqueous batteries simply by adding a small amount of a special material to the electrolyte.

Global climate change is reshaping agricultural ecosystems. As warmer winters become more prevalent, snow droughts caused by insufficient snowfall are becoming more frequent. This leaves winter wheat, which relies on snow cover for insulation and water supply, vulnerable to low-temperature frost damage and water stress, posing a major threat to global food security. A research team from The Hong Kong Polytechnic University (PolyU) has utilised innovative explainable machine learning to uncover the persistent and significant negative impact of snow droughts on winter wheat yields, highlighting that global food security is facing unprecedented challenges. This breakthrough study provides key scientific evidence for building climate-resilient agriculture, ensuring food security and promoting sustainable development.

A research team at St. Jude Children's Research Hospital, has introduced a downstream analytical framework for STAMP (Single-cell Transcriptomics Analysis and Multimodal Profiling), an emerging technology that preserves cell morphology alongside gene and protein expression. In a perspective published in EXO – Beyond the Cell, the team demonstrates how STAMP data can be analyzed using standard Python-based single-cell tools to link molecular profiles directly with image-derived phenotypes—such as cell area, shape, and marker localization.

A new study uses 3D tumor spheroid models to screen 365 human cytokines, finding TGFB1 inhibits pancreatic ductal adenocarcinoma (PDAC) growth specifically in 3D cultures. Researchers also identify PADI2 as a critical survival factor induced by TGFB1 in 3D, offering potential therapeutic targets for this lethal cancer.

Environmental DNA (eDNA) metabarcoding is transforming biodiversity monitoring by allowing scientists to identify fish species from diverse aquatic ecosystems. To assess reliability of the method, researchers from South Korea analyzed 59 mock community datasets from 30 independent studies, comparing the performance of universal fish primers and reference databases. They found that eDNA metabarcoding is highly effective for detecting fish diversity, but quantitative estimates of fish biomass remain challenging due to methodological biases and database limitations.