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A prognostic human brain network for diffuse midline glioma

Abstract Diffuse midline gliomas (DMGs) are near-universally lethal tumours of the childhood central nervous system1,2. In animal models, DMGs form brain-wide integrated networks through neuron-to-glioma synapses3,4,5,6 and glioma-to-glioma gap junctional coupling3. This extensive connectivity robustly promotes the growth and invasion of DMG3,4,5,6,7,8,9 and other glial malignancies10,11,12 through paracrine mechanisms and direct neuron-to-glioma synapses.

Nature 18h ago

'I had IBS for decades - now they've given me months to live'

'I had IBS for decades - now they've given me months to live' The Wales mum is determined to outlive her prognosis and raise awareness A mother who suffered with IBS for decades has been given just months to live. But she has vowed to outlive her prognosis and is manifesting a "miracle" as she believes "cancer hates positivity".

Daily Mirror 5d ago

A novel strategy to predict the phase diagram of nickel-cobalt alloys

A novel strategy to predict the phase diagram of nickel-cobalt alloys Gaby Clark Scientific Editor Robert Egan Associate Editor Researchers at IMDEA Materials Institute have developed a new hybrid methodology that combines quantum mechanics and thermodynamic calculations to predict the phase diagram of nickel-cobalt alloys. Published in Acta Materialia, this approach overcomes the limitations of traditional methods, particularly at low temperatures, without the need for experimental data....

Phys.org 6d ago

Multi-Contrast MRI Motion Correction via Parameter-Informed Disentanglement and Adaptive Experts

arXiv:2606.00146v1 Announce Type: cross Abstract: Motion artifacts in magnetic resonance imaging (MRI) degrade diagnostic reliability. Existing deep learning methods are typically contrast-specific and fail to generalize across diverse modalities and artifact severities. We propose a unified framework combining parameter-informed contrast disentanglement with severity-aware adaptive correction.

arXiv CS 8d ago

Symptom Dimension-Specific Neurotransmitter Correlates of Psychopathology and Cognition in Early Psychosis

Extended duration of under-treated psychosis (DUP) is among the strongest predictors of poor outcome, yet diagnostic heterogeneity impedes treatment matching, with approximately 50% of patients failing to respond to first-line antipsychotics. Negative symptoms and cognitive impairment are particularly refractory, lacking effective pharmacological treatments. Identifying neurotransmitter systems associated with specific symptom dimensions could accelerate targeted therapeutic development and...

bioRxiv 6d ago

Modeling and Interpreting Teamwork Dynamics in Cancer Care Outcome Prediction

arXiv:2606.04499v1 Announce Type: new Abstract: Cancer care requires a longitudinal approach in which treatments are planned and delivered over time according to the needs of each individual patient. While prior research has thoroughly explored how clinical and demographic factors, such as comorbidities and age, inform treatment planning, far less attention has been devoted to the delivery phase of care. Yet planning and delivery are both team-based processes that depend on coordinated...

arXiv CS 6d ago

Community Services Data Set and healthy child programme: data quality review, 2015 to 2025

Community Services Data Set and healthy child programme: data quality review, 2015 to 2025 This review is a summary of analysis of the completeness of the CSDS for children aged 0 to 4 years. Applies to England Documents Details This review is a summary of analysis of how complete the Community Services Data Set (CSDS) is for children aged 0 to 4 years.

GOV.UK Statistics 1d ago

Associating Healthcare Teamwork with Patient Outcomes for Predictive Analysis

arXiv:2512.03296v2 Announce Type: replace Abstract: Cancer treatment outcomes are influenced not only by clinical and demographic factors but also by the collaboration of healthcare teams. However, prior work has largely overlooked the potential role of human collaboration in shaping patient survival. This paper presents an applied AI approach to uncovering the impact of healthcare professionals' (HCPs) collaboration, captured through electronic health record (EHR) systems, on cancer patient...

arXiv CS 6d ago