AIMC Topic: Female

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The interictal transcriptomic map of migraine without aura.

The journal of headache and pain
BACKGROUND: The present study aimed to deliver a replicable transcriptomic map of migraine without aura (MO) and its comprehensive, genome- and drug discovery focused analysis to identify hypotheses for future research- and clinical attempts.

High throughput recurrent pregnancy loss screening: urine metabolic fingerprints LDI-MS and machine learning.

The Analyst
Infertility is a significant challenge faced by many families worldwide, with recurrent pregnancy loss (RPL) being a prevalent cause of infertility among women. This condition causes immense emotional and physical distress for affected individuals an...

Validation of a fingertip home sleep apnea testing system using deep learning AI and a temporal event localization analysis.

Sleep
STUDY OBJECTIVES: This paper validates TipTraQ, a compact home sleep apnea testing (HSAT) system. TipTraQ comprises a fingertip-worn device, a mobile application, and a cloud-based deep learning artificial intelligence (AI) system. The device utilize...

Intramedullary Bone Graft Harvest Using Reamer-Irrigator-Aspirator System: A Case Series.

Journal of surgical orthopaedic advances
Autogenous iliac crest bone grating has been the gold standard. Recently, intramedullary bone graft harvest using a reamer-irrigator-aspirator (RIA) had been gaining more interest among orthopedic surgeons. Twenty-four RIA bone graft harvesting proce...

Improving the Accuracy of a Wearable Uroflowmeter for Incontinence Monitoring Under Dynamic Conditions: Leveraging Machine Learning Methods.

Biosensors
Urinary incontinence affects many women, yet there are no monitoring devices capable of accurately capturing flow dynamics during everyday activities. Building on our initial development of a wearable personal uroflowmeter, this study enhances the de...

Naturalistic acute pain states decoded from neural and facial dynamics.

Nature communications
Pain remains poorly understood in task-free contexts, limiting our understanding of its neurobehavioral basis in naturalistic settings. Here, we use a multimodal, data-driven approach with intracranial electroencephalography, pain self-reports, and f...

Reasoning language models for more transparent prediction of suicide risk.

BMJ mental health
BACKGROUND: We previously demonstrated that a large language model could estimate suicide risk using hospital discharge notes.

Random forest-based model for the recurrence prediction of borderline ovarian tumor: clinical development and validation.

Journal of cancer research and clinical oncology
PURPOSE: This study aims to develop an effective machine learning (ML)-based predictive model for the recurrence of borderline ovarian tumor (BOT), and provide the guidelines of accurate clinical diagnosis and precise treatment for patients.

Predictive athlete performance modeling with machine learning and biometric data integration.

Scientific reports
The Purpose of this study is to propose a new integrative framework for athletic performance prediction based on state-of-the-art machine learning analysis and biometric data biometric scanning. By merging physiological signals i.e., Heart rate varia...