A new deep learning framework can accurately classify four molecular subgroups of medulloblastoma and predict critical genetic risk factors using magnetic resonance imaging, according to a study by researchers from China. The artificial intelligence model achieved a median accuracy of 77.5% for subgroup classification and up to 91.3% for predicting high-risk genetic alterations. This approach could help clinicians stratify risk and tailor therapies without invasive testing.

Computer-controlled sub-aperture polishing technology is crucial for achieving high-precision optical components. However, this convolution material removal method introduces a significant number of mid-spatial frequency(MSF) errors. To address this issue, scientist in China propose a novel controllable spiral magnetorheological finishing method that disrupts the mechanism of conventional constant tool influence function (TIF) convolution material removal to control convolution MSF error . This variable convolution kernel(TIF) sub-aperture polishing method provides a new idea for full-band error cooperative control.

The research team led by Professor Daping He at Wuhan University of Technology reported a method for actively controlling the shielding efficiency of microwaves based on a micrometer-thick graphene metasurface. The continuous modulation between wave transmission and shielding in an ultra-wide range of 9.66%–99.78% is achieved, due to the remarkable anisotropy of wave-induced electron oscillation. The metasurface achieves facile preparation and open-air processability utilizing laser-induced ultrafast kinetics, facilitating its application in advanced smart electromagnetic devices. Additionally, the metasurface demonstrates potential in a novel paradigm for data electromagnetic encryption.

Acute pulmonary embolism is a life-threatening condition because it places sudden strain on the right ventricle of the heart. In a multicenter case-control study, researchers in China found that patients with pre-existing coronary artery stenosis paradoxically showed less right ventricular dysfunction after pulmonary embolism. These findings may help physicians better stratify patients by risk and improve triage decisions following acute pulmonary embolism.

In International Journal of Extreme Manufacturing, researchers from Central South University and collaborators summarize the progress of Fe-Mn alloys—materials that combine strength, degradability, and MRI compatibility. These alloys not only support bone healing but also gradually dissolve, avoiding the need for secondary surgery. With advanced manufacturing like 3D printing and tailored alloy design, Fe-Mn scaffolds are moving closer to clinical use.

Recently, a research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, have constructed a copper single atom catalyst (Cu-N₃ SAs) with an N coordination structure using two-dimensional g-C₃N₄ derived from melamine pyrolysis as a carrier, achieving efficient electrocatalytic urea synthesis under mild conditions.

A research team led by Prof. LI Chao from East China Normal University has uncovered the origin of voltage decay in P2-type layered oxide cathodes recently. Using electron paramagnetic resonance (EPR) spectroscopy at the Steady-State Strong Magnetic Field Facility (SHMFF), the Hefei Institutes of Physical Science of the Chinese Academy of Science, the team tracked the dynamic evolution of oxygen species and clarified their direct role in structural degradation.

A research team from the Anhui Institute of Optics and Fine Mechanics, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, developed a new method that enhances the precision and reliability of trace gas analysis in open-path infrared spectroscopic remote sensing.

Recently, a research group led by Prof. SUN Xiaobing from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, investigated the impact of multiangular polarimetry on the quantification of marine aerosol remote sensing applications.

Researchers from Charles University and the Institute of Physics, Czech Republic, have demonstrated heat-based computation in a memory device made from the antiferromagnetic metal.  Inspired by how the human brain processes and stores information, the ultrafast heat-based short-term memory logic is combined with electrically readable magnetic long-term storage in a single device. The time scale of heat-based operations can be as short as sub‑nanoseconds, making these bio-inspired devices compatible with the GHz frequencies of standard electronics.