Effect of Curcumin on Lipid Mediators, Glycemic Index, and Oxidative Stress and Inflammation Biomarkers in Polycystic Ovary Syndrome: Future Directions and Current Knowledge - A Systematic Revie.

Polycystic ovary syndrome (PCOS) is one of the most common and important polygenic endocrine disorders among women of reproductive-aged. Current treatments are mostly used only to control the signs and symptoms of the disease, while not being able to completely prevent complications. Curcumin is one of the active compounds in turmeric, which is commonly used for a wide range of metabolic and inflammatory diseases.

A novel recommender framework with chatbot to stratify heart attack risk.

Cardiovascular diseases are a major cause of mortality and morbidity. Fast detection of life-threatening emergency events and an earlier start of the therapy would save many lives and reduce successive disabilities. Understanding the specific risk factors associated with heart attack and the degree of association is crucial in the clinical diagnosis.

Influence of natural hyoid bone position and surgical repositioning on upper airway patency: a computational finite element modeling study.

The hyoid bone's inferior baseline position in obstructive sleep apnea (OSA) has led to surgical hyoid repositioning (SHR) treatment, yet outcomes vary widely. The influence of baseline hyoid position (BHP; phenotype) and SHR on upper airway (UA) function remains unclear. We aimed to investigate their impact on the UA using computational modeling.

Assessment of Voiding Dysfunction and Nocturnal Enuresis Rates in Primary School Children in Nablus, Palestine: A Cross-Sectional Study.

Background: Voiding dysfunction (VD) is a frequent reason for primary care referrals to urologists and pediatric urologists. VD symptoms include urine incontinence (UI), urinary tract infection (UTI), hyperactive bladder, and constipation. Early detection of Nocturnal enuresis is critical due to its high frequency and the consequences for families and children regarding psychological and behavioral aspects.

Identifying multi-resolution clusters of diseases in ten million patients with multimorbidity in primary care in England.

Background: Identifying clusters of diseases may aid understanding of shared aetiology, management of co-morbidities, and the discovery of new disease associations. Our study aims to identify disease clusters using a large set of long-term conditions and comparing methods that use the co-occurrence of diseases versus methods that use the sequence of disease development in a person over time.

Methods: We use electronic health records from over ten million people with multimorbidity registered to primary care in England.