Migraines

Integrated Identification of NAD⁺ Metabolism-Associated Candidate Genes.

Migraine is one of the most disabling neurological diseases globally; however, a significant proport...

Clinical Research on Microecological Landscape for Infection Risk Stratification in Newly Diagnosed Patients with Hematological Conditions.

INTRODUCTION: Infection is a common and potentially fatal complication during the treatment of hemat...

Mechanisms, management and prevention of anorectal sexually transmitted infections.

Anorectal bacterial sexually transmitted infections, predominantly chlamydia, gonorrhoea and syphili...

[Development and validation of Cefalytics: an artificial intelligence-based application for the rapid diagnosis of primary headaches].

OBJECTIVE: To design and validate a Spanish-language artificial intelligence-based application to su...

From Uniformity to Individuality: Computational Modelling Provides a Mechanistic Rationale for Weight-Adjusted Botulinum Neurotoxin A Dosing.

Fixed-dose Botulinum neurotoxin type A regimens ignore patient-specific variables, such as body weig...

Personalized machine learning prediction of next-day migraine persistence using digital headache diary data.

OBJECTIVES/BACKGROUND: Migraine is a disabling neurological disorder with substantial interindividua...

Driving Mechanisms and Future Trends of Migraine and Tension-Type Headache Burden in G20 Countries: A Comparative Analysis Utilizing Decomposition Analysis and Explainable Machine Learning.

INTRODUCTION: Migraine and tension-type headache (TTH) are leading causes of neurological disability...

Identifying predictor factors for asthma using machine learning: evidence from the English Longitudinal Study of Ageing.

BACKGROUND: Asthma is a common chronic inflammatory airway disease. Accumulating evidence highlights...

Developing and validating an interpretable machine learning model for predicting postoperative nausea and vomiting in pulmonary resection patients: a retrospective observational study.

BACKGROUND: Postoperative nausea and vomiting (PONV) remains a prevalent complication hindering Enha...

Evaluation of a Digital Intervention for Monitoring and Improving Medication Adherence Among Real-World e-Consumers of HIV Preexposure Prophylaxis in China: Protocol for a Randomized Controlled Trial.

BACKGROUND: Preexposure prophylaxis (PrEP) is a key biomedical HIV prevention strategy that relies h...

Artificial intelligence in headache care.

Orchestrator multi-agent clinical decision support system for secondary headache diagnosis in primary care.

OBJECTIVE: Secondary headaches require urgent recognition due to potentially devastating consequence...

How US Youth Use AI Chatbots: Conversation Patterns from Naturalistic Keystroke Observations.

BACKGROUND: Background. Youth are increasingly engaging with generative artificial intelligence (gen...

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 conne...

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 (aSA...

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

BACKGROUND AND OBJECTIVES: In the absence of biomarkers, the true biological footprint of migraine r...

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...

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 multic...

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...

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 pharm...