Latest AI and machine learning research in fibromyalgia for healthcare professionals.
PURPOSE OF REVIEW: Patient-reported outcomes (PROs) have become increasingly important in oncology, capturing the patient perspective on symptoms, treatment effects, and health-related quality of life. Transitioning to electronic platforms (ePROs) enables real-time monitoring, efficient integration into clinical workflows, and enhanced patient-centered care. This review explores recent evidence on...
BACKGROUND: Cognitive fatigue is a frequently reported and debilitating symptom of long COVID, yet effective therapeutic interventions remain limited. Anodal transcranial direct current stimulation (tDCS) over the dorsolateral prefrontal cortex (dlPFC) has been proposed as a promising approach to modulate fatigue-related neural networks. To comprehensively assess cognitive fatigue, the integration...
Cancer survivors often experience multiple cooccurring symptoms such as insomnia, pain, fatigue, and anxiety; yet conventional analyses in symptom sci...
BACKGROUND: Depressive disorder affects over 300 million people globally, with only 30% to 40% of patients achieving remission with initial antidepres...
Excessive daytime sleepiness (EDS) refers to a physiological state where individuals have difficulty remaining alert during the day. Managing EDS is p...
BACKGROUND: Several limitations hinder the effectiveness of human-based lung cancer screening (LCS): high false-positive rates leading to unnecessary ...
ETHNOPHARMACOLOGICAL RELEVANCE: Despite the fact that herbal medicine has been used for a long time, their clinical application is challenged by uncle...
Additive manufacturing is reshaping the production of engineering components in diverse industries, such as the automotive, aerospace, defence and bio...
Multifunctional hydrogels have shown great promise in advanced wearable sensing technologies; however, their performance under real-world sweaty and d...
Precise manipulation of small sample volumes through enrichment, metering, routing, and selective sorting defines the analytical performance of microf...
In the context of rapid AI development, designers are increasingly integrating AI tools into traditional workflows, forming a collaborative rather tha...
The growing dependence on mobile phones for communication has raised concerns regarding the neurological impact of radio-frequency electromagnetic fie...
OBJECTIVE: This study aims to optimize depression screening tools through a data-driven approach, identifying the most predictive core item combinatio...
Accurate and efficient non-destructive evaluation (NDE) techniques are essential for ensuring the structural integrity of metallic components, where s...
OBJECTIVE: This narrative review synthesizes machine learning (ML) applications across the stroke and post-stroke continuum from acute imaging and dia...
BACKGROUND: Dental implant longevity depends on the complex interaction between mechanical stability and biological osseointegration. While finite ele...
A microscope is essential in scientific and medical research, enabling the magnification of specimens too small for the naked eye. The conventional me...
Long COVID, or post-acute sequelae of COVID-19 (PASC), is a major global health problem, with cumulative estimates suggesting that around 400 million ...
Functional near-infrared spectroscopy (fNIRS), with its ability to directly measure cerebral hemodynamic changes and advantages such as portability, n...
BACKGROUND: Anemia is one of the most common hematological disorders causing fatigue, increased vulnerability to infection, low birth weight, and thre...