Migraines

Breaking the Autophagy-Oxidative Stress Vicious Cycle in Alzheimer's Disease: Lactiflorin Unlocks P62 Dual Phosphorylation via ULK1 Targeting.

ETHNOPHARMACOLOGICAL RELEVANCE: The dried root of Paeonia lactiflora Pall. has a long history of medicinal use in traditional Chinese medicine. Classical materia medica and traditional practice describe Paeonia-related medicinal materials for headache, dizziness, restlessness, and other neurological or behavioral manifestations, particularly in disorders traditionally associated with blood or yin ...

[Advances and prospects of hemostatic strategies in hepatic surgery].

The liver is characterized by abundant blood supply and intricate anatomical architecture,rendering intraoperative and postoperative hemorrhage a primary clinical challenge. Conventional compression and suture ligation fail to enable precise perioperative hemorrhage prediction. Driven by the integration of precision medicine,artificial intelligence,and biomaterials,hemostatic strategies are underg...

Foundation Model Forecasting of Headache Days in People With Persisting Postconcussion Symptoms.

OBJECTIVES: We aimed to forecast headache in individuals with persisting postconcussion symptoms using foundation machine learning (ML) models and mul...

Machine Learning Guided Video Analysis Identifies Sound-Evoked Pain-Related Behaviors from Facial Grimace and Body Cues in Mice.

Humans can experience sound-evoked pain, either from extremely loud sounds or in cases of pain hyperacusis from typically tolerable sounds. However, t...

A Bayesian Survival Model to Support the Selection of the Best Hematopoietic Stem Cell Donor.

The selection of a donor for allogeneic hematopoietic stem cell transplantation (HSCT) is a complex, multifactorial process requiring the balance of t...

Real-world analysis of depression-related adverse events associated with the adsorbed anthrax vaccine: integrating pharmacovigilance signals, machine learning risk prediction, and transcriptomic mechanisms.

BACKGROUND: Anthrax remains a life-threatening zoonotic disease in resource-limited settings. Adsorbed anthrax vaccine (AVA, BioThrax) is the only Uni...

DNAJC12 p.Asp44Gly associated with mild hyperphenylalaninemia and migraine-like headaches: Structural and deep learning analyses.

OBJECTIVE: DNAJC12 encodes a J-domain co-chaperone involved in the function of aromatic amino acid hydroxylases, and its deficiency is associated with...

Integrated Identification of NAD⁺ Metabolism-Associated Candidate Genes.

Migraine is one of the most disabling neurological diseases globally; however, a significant proportion of patients do not respond to current treatmen...

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 hematological diseases, particularly in the context of ...

Mechanisms, management and prevention of anorectal sexually transmitted infections.

Anorectal bacterial sexually transmitted infections, predominantly chlamydia, gonorrhoea and syphilis, represent a substantial and evolving global hea...

[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 support the diagnosis of primary headaches by non-ex...

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 weight, despite allometric principles governing the di...

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

OBJECTIVES/BACKGROUND: Migraine is a disabling neurological disorder with substantial interindividual variability. Predicting whether an ongoing migra...

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 globally. While their macro-trends are documented...

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 the roles of demographic, lifestyle, and comorbid...

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 Enhanced Recovery After Surgery (ERAS) protocols, part...

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 heavily on adherence for optimal effectiveness. In ...

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 consequences if untreated. Despite established clinical "red ...

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

BACKGROUND: Background. Youth are increasingly engaging with generative artificial intelligence (genAI) chatbots, yet little is known about the nature...