Researchers have developed LorMe, an R-based framework that integrates complex microbiome workflows into a unified, standardized, and reproducible analytical framework. The framework enables researchers to perform community profiling, differential tax identification, and microbial network analyses through a streamlined workflow, supporting more consistent and reproducible microbiome studies.

A team of international scientists led by Patricia Angela R. Abu of Ateneo de Manila University Department of Information Systems and Computer Science (DISCS) have developed an AI model that accurately predicts how effectively the heart pumps blood.

Scientists have discovered a previously unknown law of geometry that explains why some growing surfaces, whether in nature or engineered materials, suddenly stop being able to stay smooth and instead form dimples and folds. Until now, researchers believed they understood the geometric rules behind these shape changes, but this study reveals a new kind of "geometric frustration" that arises even when all the known rules are satisfied. The finding could reshape how scientists understand the formation of leaves, flowers, tissues and other natural structures, while helping engineers design smarter materials that can deliberately change shape for applications in soft robotics, medicine and advanced manufacturing.

Seoul National University (SNU) College of Engineering announced that a research team led by Professor Nathaniel S. Hwang of the Department of Chemical and Biological Engineering has developed a new bioceramic fracture fixation material that promotes bone regeneration by precisely controlling the timing of magnesium ion (Mg²⁺) release to suppress inflammatory immune responses during osteoporotic fracture healing.

Researchers from the Institute of Industrial Science, The University of Tokyo and RIKEN have developed a mathematical framework that explains how resource limitations influence information processing in living systems. The study shows that organisms can switch abruptly between memoryless and memory-based estimation depending on energy availability and sensory uncertainty. The findings provide a theoretical foundation for understanding decision making in biological systems.

Researchers at the University of Osaka have developed a method to build stable, tubular hydrogel structures at the arteriole scale. Using a technique called meniscus-guided interfacial ring-by-ring assembly, UV light is used to form ring-shaped structures at an oil–hydrogel interface, which combine to form hollow tubes. Different tubes could be created with good stability, controlled sizes, complex shapes, and multi-component structures. These structures could help to create vascular networks for artificial tissue models.

Tiny particles released as vehicle tires wear down may do more than pollute urban air, water, and soil. A new perspective article suggests that tire microplastics could create environmental hotspots that help antibiotic resistance genes persist, move between bacteria, and spread through cities.

Artificial intelligence could help transform how farms manage nitrogen by connecting crop production, livestock feeding, manure recycling, and environmental monitoring within a single decision-making system, according to a new perspective published in Nitrogen Cycling.

Automotive manufacturing produces large quantities of paint sludge containing volatile organic compounds, or VOCs, that can escape into the air during storage and disposal. A new study has developed a physics-based framework for predicting how temperature influences these emissions, offering practical guidance for safer hazardous-waste management.