Electrospinning has been used to produce polymer fibres containing the well-known antibacterial drug metronidazole. The mats formed from them at the Institute of Nuclear Physics of the Polish Academy of Sciences could potentially be used as wound dressings, thanks to an appropriately selected polymeric structure capable of releasing the drug into the body in a controlled manner.

The global freshwater crisis has become one of the most urgent environmental challenges. Solar interfacial evaporation technology demonstrates significant potential for seawater desalination. However, conventional evaporators struggle with a persistent trade-off between stable evaporation and salt accumulation, as crystallized salt obstructs water transport and reduces efficiency. Recently, a research team from Shandong First Medical University published a groundbreaking study in Science Bulletin, introducing a novel approach to desalinate high-salinity brine. Inspired by the natural salt secretion and brine transport mechanisms of mangroves, the team designed a bio-inspired solar evaporator featuring an external photothermal layer and internal water supply channels. This innovative design effectively overcomes the long-standing trade-off between stable evaporation and salt accumulation, achieving highly efficient and stable desalination alongside continuous salt collection under high-salinity brine conditions.

A team of researchers from KAIST and Seoul National University has developed a groundbreaking electronic ink that enables room-temperature printing of variable-stiffness circuits capable of switching between rigid and soft modes. 

Researchers at the University of Tartu Institute of Computer Science introduce a novel approach to reducing electronic waste and advancing sustainable data processing: turning old smartphones into tiny data centers with only 8 euros.

Scientists at the CNIC have developed an innovative method for analyzing the mechanical function of proteins through controlled cleavage.

The Hong Kong University of Science and Technology (HKUST) announced today that  its School of Engineering researchers have developed Mixture of Modality Experts (MOME), a groundbreaking large artificial intelligence (AI) model for non-invasive breast cancer diagnosis. Trained on the China’s largest multiparametric MRI (mpMRI) breast cancer dataset, MOME achieves expert-level accuracy in classifying tumor malignancy, comparable to that of radiologists with five+years of experience. This innovative solution is now undergoing extensive clinical validation across more than ten hospitals and partner institutions, including Shenzhen People’s Hospital, the Guangzhou First Municipal People's Hospital, and Yunnan Cancer Center, to validate its effectiveness and ensure real-world applicability.