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Glycans are recognized as biomarkers and therapeutic targets. However, these molecules remain a critical blind spot in understanding post-translational modifications, particularly in vertebrate…

By predicting surprising interactions beyond its training data, the model opens paths to deeper insight into molecular behaviour within complex systems.

**Abstract:** Early and accurate prediction of functional response impairments is critical for effective intervention strategies in neurodegenerative diseases. Currently, assessments rely heavily on invasive procedures and often lack predictive power in the pre-clinical phase. This research introduces a novel framework leveraging Dynamic Adaptive Neuro-Glycomics Profiling (DANGP) to integrate multi-modal neuroimaging data with high-throughput glycomics analysis, providing a minimally invasive, high-resolution, and predictive model of functional decline.

Glycosylation is a highly complex and functionally diverse post-translational modification that modulates protein folding, stability, cell signaling, and immune response. Aberrant glycosylation is ass...

Eleven consortia from various scientific disciplines are set to launch projects of great value to science. But also to the economic and social prosperity of the Netherlands. For example, a consortium led by TU Delft will start work on a detailed virtual model of the Dutch energy system. In another project, a consortium of UMC Utrecht is developing an MRI scanner that can scan people in motion.

Eleven consortia from various scientific disciplines are set to launch projects of great value to science. But also to the economic and social prosperity of the Netherlands. For example, a consortium led by TU Delft will start work on a detailed virtual model of the Dutch energy system. In another project, a consortium of UMC Utrecht is developing an MRI scanner that can scan people in motion.