A case report published in UroPrecision shows that transurethral holmium laser ablation of a large seminal vesicle cyst can relieve acute urinary retention in Zinner syndrome, with the patient remaining asymptomatic and passing a normal uroflowmetry at one-year follow-up.

A case report published in UroPrecision shows that transurethral holmium laser ablation of a large seminal vesicle cyst can relieve acute urinary retention in Zinner syndrome, with the patient remaining asymptomatic and passing a normal uroflowmetry at one-year follow-up.

A case report published in UroPrecision describes the diagnosis and multidisciplinary management of para-testicular spindle cell rhabdomyosarcoma in a 17-year-old boy, highlighting how histopathology, immunohistochemistry and molecular testing guide treatment decisions in this rare tumor.

A case report published in UroPrecision describes how clinicians removed a broken silicone rod from a 71-year-old man’s bladder using cystoscopy alone, showing how tailored endoscopic technique and preoperative imaging can resolve a urological emergency without open surgery.

Potatoes are a staple food worldwide, yet boosting their vitamin C content through conventional breeding has proved exceptionally difficult. 

University of Missouri researchers have published a major review of flow matching, an emerging AI approach that helps scientists model how biological systems change over time, offering new opportunities in drug discovery, precision medicine and disease research. The work highlights how flow matching could ultimately help create AI-powered “virtual cells” that accelerate biomedical breakthroughs and improve understanding of living systems.

Could the next breakthrough in wheat breeding happen below ground?

Aarhus University-led EU project EVOLVE investigates whether wheat can communicate with microorganisms around its roots – and whether this could open a new route to more nutrient-efficient and drought-resilient crops.

The Korea Research Institute of Standards and Science (KRISS, President Dr. Lee Ho Seong) has developed a deep learning technology that predicts, in real time, the vibrations at multiple locations inside a nuclear power plant using the signal from just a single seismometer, and that quantifies the risk at each location to enable the prioritization of inspections. In particular, because the AI model can be flexibly designed to match the vibration characteristics of a structure, it is expected to be widely applicable to major industrial facilities such as semiconductor plants and data centers in the future.

This study designs a phosphorus-doped vacancy regulation and phase interface engineering strategy to fabricate a MOF-derived metal selenide@carbon dual-matrix material, denoted as P-NiSe₂/CoSe₂@NC (PNCS). By optimizing the phosphorus source doping ratio and calcination temperature, the optimal electromagnetic wave absorption mechanism is explored. The results demonstrate that through iterative optimization of doping concentration and thermal conditions, the material achieves a synergistic balance between defects and heterogeneous interfaces, leading to superior electromagnetic wave absorption performance. At a matching thickness of only 2.1 mm, an effective absorption bandwidth of 7.04 GHz is attained, and the entire X-band and Ku-band can be covered within a controllable thickness of 2.6 mm, showing significantly enhanced performance compared to analogous samples. The “dual-core driven” strategy, combining oxygen vacancies and selenide heterointerfaces, optimizes dielectric relaxation and polarization loss, offering new insights for the development and application of next generation high-efficiency electromagnetic wave absorbing materials.