Researchers publishing in Computational Biomedicine have developed a novel artificial intelligence framework that improves epileptic seizure prediction by combining bidirectional long short-term memory networks with a channel attention mechanism. The study highlights how interpretable deep learning models may help identify critical preictal EEG patterns and support the development of more reliable seizure prediction systems.Researchers publishing in Computational Biomedicine have developed a novel artificial intelligence framework that improves epileptic seizure prediction by combining bidirectional long short-term memory networks with a channel attention mechanism. The study highlights how interpretable deep learning models may help identify critical preictal EEG patterns and support the development of more reliable seizure prediction systems.

A study finds that “preparing” biochar through composting can make it far more effective for improving soil fertility and boosting plant growth.

A study has captured, in real time and in three dimensions, how a single piece of biomass changes as it is heated into biochar, offering fresh clues for designing more effective carbon materials for water cleanup, soil improvement, catalysis, and climate-related applications.

A new study outlines a comprehensive framework leveraging AI and big data to combat illegal plant trade, addressing global biodiversity threats with technological innovation.

Single-nucleus RNA-seq atlas of equine skeletal muscle reveals donkey and horse distinct cell types, with species-specific age-related shifts in muscle fiber composition. The conserved upregulation pattern of LDHA reveals the critical role of propanoate metabolism in energy supply for equine locomotion. Cross-species transcriptomic comparison delineates a highly conserved atlas of skeletal muscle cell types.

A University of Arkansas undergraduate researcher showed that 3D metal printing may work in an atmosphere of carbon dioxide, removing a key obstacle to manufacturing on Mars.

McGill University researchers have discovered a new way to fold flat sheets into smooth, curved shells that can switch from floppy and flexible to stiff and load-bearing on demand. By designing a special origami pattern and threading cable-like elements through it, they can control the material’s final three-dimensional shape and how rigid it becomes. The result, a “doubly curved lens box,” could advance the technology of such objects as temporary emergency tents, morphing robots and smart fabrics, the researchers said.