Migraines

Non-weight-based enoxaparin dosing subtherapeutic in trauma patients.

BACKGROUND: We report our experience dosing and monitoring enoxaparin with anti-factor Xa activity (...

Development of an Ion Chromatography Method for Analysis of Organic Anions (Fumarate, Oxalate, Succinate, and Tartrate) in Single Chromatographic Conditions.

A single organic counterion analysis method was developed by using an ion chromatography separation ...

Diagnostic Accuracy Comparison of Artificial Immune Algorithms for Primary Headaches.

The present study evaluated the diagnostic accuracy of immune system algorithms with the aim of clas...

An open-label, in-use study assessing the warming sensation accompanying IFF Flavour 316282 and the acceptability and local tolerability of a syrup containing paracetamol and pseudoephedrine for the short-term treatment of symptoms of an upper respiratory tract infection.

OBJECTIVE: The primary objective was to assess the warming sensation caused by IFF Flavour 316282 in...

A Stability-Indicating HPLC Method for the Determination of Fingolimod in Pharmaceutical Dosage Forms.

Fingolimod is an immunosuppressive agent which is used for the prophylaxis of organ transplantation ...

Understanding migraine using dynamic network biomarkers.

BACKGROUND: Mathematical modeling approaches are becoming ever more established in clinical neurosci...

Use of machine learning techniques to predict poor survival after hematopoietic cell transplantation for myelofibrosis.

With the incorporation of effective therapies for myelofibrosis (MF), accurately predicting outcomes...

Abnormal Static and Dynamic Functional Connectivity in Tension-Type Headache: A Support Vector Machine Analysis.

Tension-type headache (TTH) is a primary headache with the highest prevalence. Previous studies have...

Multidimensional Feature Analysis of Meniere's Disease and Vestibular Migraine: Insights from Machine Learning and Vestibular Testing.

OBJECTIVE: Differentiating between Meniere's disease (MD) and vestibular migraine (VM) is challengin...

Machine learning models based on a national-scale cohort accurately identify patients at high risk of deep vein thrombosis following primary total hip arthroplasty.

BACKGROUND: The occurrence of deep venous thrombosis (DVT) following total hip arthroplasty (THA) po...

Transforming Healthcare: The Role of Artificial Intelligence.

The integration of artificial intelligence (AI) into healthcare is revolutionising the industry by e...

The interictal transcriptomic map of migraine without aura.

BACKGROUND: The present study aimed to deliver a replicable transcriptomic map of migraine without a...

PathSynergy: a deep learning model for predicting drug synergy in liver cancer.

Cancer is a major public health problem while liver cancer is the main cause of global cancer-relate...

Deep learning enables automatic detection of joint damage progression in rheumatoid arthritis-model development and external validation.

OBJECTIVES: Although deep learning has demonstrated substantial potential in automatic quantificatio...

Migraine triggers, phases, and classification using machine learning models.

BACKGROUND: In many countries, patients with headache disorders such as migraine remain under-recogn...

An evolving machine-learning-based algorithm to early predict response to anti-CGRP monoclonal antibodies in patients with migraine.

BACKGROUND: The present study aimed to determine whether machine-learning (ML)-based models can pred...

Artificial intelligence enabled interpretation of ECG images to predict hematopoietic cell transplantation toxicity.

Artificial intelligence (AI)-enabled interpretation of electrocardiogram (ECG) images (AI-ECGs) can ...

[Digitization in the diagnosis and treatment of headache].

In recent years, machine learning, particularly Natural Language Processing, has emerged as a valuab...

Frequency-Specific Alternations in the Amplitude of Fluctuations in Tension-Type Headache: A Machine Learning Study.

Brain neural signal at different frequency bands relates to different functions. However, the freque...

Response to letter to the editor: "What predicts citation counts and translational impact in headache research? A machine learning analysis".

Natural Language Processing Accurately Differentiates Cancer Symptom Information in Electronic Health Record Narratives.

PURPOSE: Identifying cancer symptoms in electronic health record (EHR) narratives is feasible with n...