Migraines

Vestibular cortex-related effective connectivity signatures: characterization and differentiation of vestibular migraine patients via magnetic resonance imaging and machine learning.

BACKGROUND: Neuroimaging studies of vestibular migraine (VM) have revealed abnormal functional connectivity in the central vestibular system. However, it remains to be determined whether effective connectivity (EC) of the vestibular cortex is specifically disrupted in VM and whether this brain measure can aid in the differential diagnosis of VM patients. METHODS: In 56 VM patients, 58 episodic mig...

Heterogeneity of Clazosentan Benefit after Aneurysmal Subarachnoid Hemorrhage Demonstrated in an Externally Validated Causal Policy Tree.

BACKGROUND: Clazosentan reduces angiographic vasospasm after aneurysmal subarachnoid hemorrhage (aSAH), but functional benefit may vary across patients. We used causal machine learning to explore heterogeneity and derive an interpretable rule. METHODS: In a secondary analysis of the RECOVER dataset [multicenter retrospective cohort of aSAH treated by clipping or coiling within 48 h (N = 506)], we ...

Machine Diagnostics and Machine Phenotyping of Migraine: A HUNT Study.

BACKGROUND AND OBJECTIVES: In the absence of biomarkers, the true biological footprint of migraine remains incompletely understood. It could perhaps b...

Is Migraine a Single Entity?: Machine Learning Reveals Underlying Heterogeneity.

Fusion prediction model for post-ERCP pancreatitis under NSAIDs prophylaxis.

BACKGROUND: Endoscopic retrograde cholangiopancreatography (ERCP) is a common procedure for treating biliary and pancreatic disorders; however, it is ...

Long-term outcomes with emicizumab prophylaxis for haemophilia A in China: A multicentre, large-cohort retrospective study.

Emicizumab is an established prophylactic therapy for haemophilia A (HA). However, real-world multicentre evidence on long-term outcomes, particularly...

Development and temporal validation of an interpretable prediction model for delayed diagnosis of benign paroxysmal positional vertigo: a retrospective study from Beijing, China.

OBJECTIVE: To develop and validate an interpretable prediction model for delayed diagnosis of benign paroxysmal positional vertigo (BPPV). METHODS: Th...

Optimization algorithm for improving the prediction accuracy of API solubility in green solvent.

Supercritical carbon dioxide (SC-CO₂) is widely used as an environmentally friendly solvent in pharmaceutical processing, where accurate prediction of...

Oscillatory edge connectivity in pain-related regions supports machine learning identification of migraine.

BACKGROUND: Objective and interpretable brain signatures for migraine diagnosis and phenotyping remain limited. Edge-centric connectivity treats inter...

The entropic brain today.

Introduced in 2014 and revised in 2018, the entropic brain hypothesis has accrued a wealth of supportive evidence. The hypothesis states that-along a ...

Pre-implementation safety evaluation of an AI decision-support system for surgical antimicrobial prophylaxis.

BACKGROUND: Large language models (LLMs) show potential to support antimicrobial prescribing but require simulation-based, institution-specific safety...

Updating CMV protocols in lung transplant patients: a single-center case study modeling use of generative AI for antimicrobial stewardship protocol development and economic impact analysis.

OBJECTIVE: Antimicrobial Stewardship Programs (ASPs) need healthcare economic analyses to support and inform ASP strategies. This work aimed to determ...

Cervical musculoskeletal function is variable in tension-type headache: A cluster analysis.

OBJECTIVES: This study was conducted to (1) consider the causes of neck pain in tension-type headache (TTH) by investigating how the patients with TTH...

First-trimester multi-modal cell-free DNA analysis for prediction of preterm and term preeclampsia.

BACKGROUND: Preeclampsia, which is a leading cause of maternal and perinatal mortality and morbidity, represents a biologically heterogeneous syndrome...

Development and internal validation of a clinical prediction model for hemodialysis-related headache using LASSO and Boruta feature selection.

A common neurological symptom in dialysis patients is hemodialysis-related headache (HRH), which can result in premature hemodialysis termination and ...

Association between completing at least eight antenatal care contacts and maternal anaemia in Ghana: a cross-sectional study using causal machine learning.

BACKGROUND: Maternal anaemia remains a pressing global health challenge, with a notable burden in low- and middle-income countries. Existing studies i...

Comorbidities for Predicting Progression Independent of Relapse Activity in Multiple Sclerosis Treated With B-Cell Depletion.

BACKGROUND: Progression independent of relapse activity (PIRA) has been shown to account for a majority of the disability accumulation in relapsing-re...

Feasibility and Preliminary Effectiveness of the ChulaCancer Mobile Chatbot for Supportive Care of Patients With Breast or Colorectal Cancer Receiving Chemotherapy: Pilot Randomized Controlled Trial.

BACKGROUND: Chemotherapy-related toxicities often lead to unscheduled health care use and diminished quality of life. Digital health interventions, su...

Machine learning models for predicting postpartum convulsions using clinical indicators from PMA Ethiopia data.

Postpartum convulsions, defined as seizure episodes occurring after childbirth during the postpartum period, remain a major cause of maternal morbidit...

Literature Commentary June, 2026.

In this issue, the following 4 articles are reviewed by Drs. Mark L. Moster and Deborah I. Friedman, most of which include authors who are members of ...