Dear colleagues,

A healthy brain keeps many things in perfect balance, how it uses energy, how blood flows, how the immune system acts, and the mix of chemicals in its tissues. As soon as a tumour starts to grow, that balance is upset: tiny blood vessels leak, the tumour steals sugar for fuel, pressure inside the skull rises, and inflammation flares up. Spotting these changes early, and finding ways to set them right could greatly improve patients’ lives.

Over the last ten years, artificial intelligence has become a vital helper in brain-cancer care. Smart computer programs can now detect tumours only a few millimetres wide, combine MRI scans with genetic data, and predict how well treatments will work long before traditional tests can. What’s still missing is a clear link between these AI findings and the underlying body processes that keep the brain in balance.

This special issue invites work that bridges that gap: How can today’s AI tools uncover, measure, and even help restore the brain’s delicate balance when tumours knock it off course?

We welcome submissions including, but not limited to:

· AI-based early detection of brain tumours

· Multimodal fusion of imaging and genomic data

· Deep learning models for predicting treatment response

· Mapping and modelling tumour micro-environmental changes

· Understanding metabolic and vascular disruptions in brain tumours

· Prognostic modelling based on homeostatic indicators

· Inflammation, pressure, and immune system responses in neuro-oncology

· Linking AI-driven biomarkers to biological regulation systems

· Mechanistic interpretations of AI predictions

· Real-time AI support for neuro-oncological decision-making

· Brain tumour

· Homeostasis

· Neuro-oncology

· Artificial intelligence

· Deep learning

· MRI fusion

· Early detection

· Tumour micro-environment

· Metabolic imbalance

· Vascular leakage

· Inflammation

· Prognostic modelling

· Multimodal imaging

· Treatment response prediction

               · Physiological regulation