In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

Ubiquitination is a crucial post-translational modification process where the small protein ubiquitin is attached to target proteins, marking them for degradation or altering their function. This ...

Uncovering mechanisms regulating immune system responses is key to strengthening and redirecting them whenever necessary in cancer and infections as well as understanding autoimmune diseases. However, ...

Artificial intelligence is increasingly integrated into future communication networks, yet many AI models operate as opaque black boxes, raising concerns ...

The exploration of plant-derived food ingredients has increasingly focused on developing new functional fractions for industry applications and improved ...

Plant-based diets have gained significant attention due to their potential health benefits and positive environmental impact, ...

Mental illness is a significant cause of morbidity and mortality globally, with its burden continually increasing. The World Health Organization emphasizes the urgent need for accessible and scalable ...

Machine learning (ML) and deep learning (DL) as two well-known methods of artificial intelligence (AI) have emerged as powerful tools in extracting insights and patterns from vast amounts of data. In ...

Head and neck cancer (HNC) remains a significant global healthcare challenge, characterized by persistently high incidence and mortality rates. Despite ...

Research on crop stress adaptation in the context of climate change is increasingly pivotal for global food security and agricultural sustainability. As ...

The field of regulated cell death has undergone a transformative shift with the discovery of novel modalities beyond apoptosis, such as ferroptosis, which ...

Plant biology has long recognized the significance of surface lipid barriers—namely cuticles and suberin—as fundamental adaptations for terrestrial life.