After six years of intensive research and testing, the Rhisotope Project has officially reached operational status – where rhinos will effectively be protected through nuclear technology.

The project aims to disrupt the illegal rhino horn trade by embedding low-level radioactive isotopes into the horn. These radioisotopes can be detected by radiation detection equipment at countries borders around the world, allowing for the effective interception of trafficked horns.

Fluorescent markers are extremely useful in science as tools to track molecules or processes as they carry out their unique activities, revealing unknown facts along the way. However, physically introducing fluorescent markers into targets can result in strong background signals, and even when chemically bound, the target’s hydrophobicity may increase, making the process far from straightforward. Moreover, fluorescent markers are often affected by the properties of the solvent in which they operate. To address these challenges, researchers have developed a method to track the behavior of cellulose nanofibers (CNFs) by conjugating water-compatible fluorescent amino acids to the CNFs. As a result, observers can now microscopically visualize CNFs by following the blue fluorescence emitted from them.

A new study in the academic journal Machine Learning: Health discovers that ChatGPT can accelerate patient screening for clinical trials, showing promise in reducing delays and improving trial success rates.

Professors Juan Tu, Dong Zhang, Jingning Zhu, and Academician Ning Gu from Nanjing University developed an ultrafast ultrasound localization microscopy algorithm combining velocity constraints and motion compensation. This breakthrough technique achieves super-resolution imaging of microvascular networks in organs like the rat brain and kidney, producing high-definition “microscopic maps of life pathways”. It provides a powerful new imaging tool for medical research and the diagnosis and treatment of cardiovascular and microcirculatory diseases. The work, titled “Velocity-Constraint Kalman Filtering for Enhanced Bubble Tracking in Motion Compensated Ultrasound Localization Microscopy”, was recently published in Research (2025, 8:0725, DOI: 10.34133/research.0725).