A new study in Science Bulletin presents DVSTP, a deep learning system that integrates pathology images with spatial transcriptomics and proteomics to map intra-tumor heterogeneity. DVSTP predicts molecular profiles from routine pathology slides, making spatial multi-omics more accessible. Whole–tumor 3D reconstruction reveals that SRSF6 drives immune exclusion and is associated with poor clinical outcomes.

Large language models and autonomous agents have advanced rapidly, showing broad promise in medical imaging analysis, clinical diagnosis, and treatment planning. However, most existing medical AI systems still rely primarily on pre-trained knowledge and fixed workflows, making it difficult to learn continuously from long-term clinical feedback, patient outcomes, and prior treatment experience. This "static AI" architecture limits their value in complex real-world clinical settings.

To address this bottleneck, a team led by Dr. Lian Zhang from the First Hospital of Hebei Medical University, in collaboration with domestic and international research partners, has proposed VIBEMed, which is a self-evolving multi-agent framework for clinical decision support designed to enable dynamic learning and safe, traceable system evolution.

Within the neurovascular unit, neurons, glial cells, brain microvascular endothelial cells, and pericytes all harbor mitochondria. When these organelles become dysfunctional, they drive and amplify neuroinflammation in various ways. A new review in Science Bulletin provides a systematic framework for summarizing nanomedicines that can precisely target damaged mitochondria, revealing a promising strategy for the treatment of central nervous system diseases.

Researchers have developed a facile water-based synthetic route for constructing fused azole–pyrimidine energetic materials, producing compounds with high thermal stability, strong detonation performance, and low mechanical sensitivity. The study demonstrates how eco-friendly aqueous synthesis can simultaneously improve safety, thermal resistance, and energetic performance in next-generation heat-resistant explosives.

This study demonstrates the gram-scale synthesis of water-stable M-Gallate (M = Mg, Ni, Co) metal-organic frameworks from inexpensive raw materials, and their application in harvesting water vapour from ultra-low humidity air. The optimal Mg-Gallate MOF achieves a record-high atmospheric water capture capacity of 170.0 mg/g at 0.2% relative humidity (RH) and 25 °C, surpassing all previously reported porous adsorbents under equivalent conditions.

Researchers have developed tough, conductive RBA hydrogels using a hyperbranched multi-arm crosslinking strategy. The hydrogels form a dense, stable network that enables wearable sensors to monitor full-body motion and support Morse-code-based human–machine interaction.

By applying an “attribution constraint” method based on optimal fingerprinting to correct systematic biases in CMIP6 climate models,  the study significantly improved the projection reliability on the the upper‑level Hadley circulation.

Quasi-solid-state electrolytes (QSEs) are critical for ultrafast-charging yet high-safety sodium metal batteries (SMBs), yet their implementation is hindered by sluggish Na⁺ transport in bulk and at interfaces. Here, we propose dual interlocked mediator engineering that transcends conventional independent approaches by coupling cationic Sn²⁺ salt with anionic difluoro(oxalato)borate (DFOB⁻) salts to simultaneously regulating bulk ion transport and bilateral interface chemistry. During QSE preparation, Sn²⁺ initiates in situ cationic polymerization, while DFOB⁻ acts as a retarding agent to suppress runaway polymerization. The first interlocking effect in the Sn-FB QSE bulk builds a uniform network, enabling near-unity Na⁺ transference number (0.94) and robust puncture strength (8.5 kPa). During cell operation, Sn²⁺ is reduced to form a hybrid NaSn alloy-based solid-electrolyte interphase, while DFOB⁻ oxidizes to generate a robust yet thin cathode–electrolyte interphase, respectively. This second interlocking effect creates adaptable bilateral interphases that facilitate Na⁺ diffusion and mitigate interfacial degradation. As a result, the symmetric cells exhibit 6000 h stability, and full cells retain 80.1 mAh g^–1 at an ultrafast-charging rate of 15C and retain 90% capacity at 3C over 2000 cycles. Furthermore, high-mass-loading full cells and pressure-free pouch cells are demonstrated, underscoring the potential of dual interlocked mediator engineering for practical SMBs.

Food waste recycling is a growing priority for cities seeking to cut landfill use and build a circular bioeconomy. Anaerobic digestion can turn food waste into renewable energy, but it also leaves behind a wet, nutrient-rich residue known as food waste digestate. Composting this digestate can return nutrients to soil, yet the process often loses valuable nitrogen as ammonia and nitrous oxide, reducing compost quality and contributing to air pollution and climate change.

Rice is a staple food for more than half of the world’s population, but in some mining-impacted regions, paddy soils can contain elevated levels of arsenic and antimony. These toxic metalloids can move from soil into rice plants, raising concerns for food safety and human health. A new study published in Biochar reports a promising strategy: a magnetic silicon-enriched biochar gel that can immobilize both arsenic and antimony in contaminated paddy soil and reduce their accumulation in rice grains.