CONCLUSIONS: DNS is superior to conventional core exercises in enhancing core muscle contractility and standing postural control in CLBP patients, showing potential to reduce pain and improve disability. Its mechanism may involve the enhancement of proprioceptive feedback, particularly when visual feedback is blocked. →
Advancements in emergency medicine and critical care have significantly improved survival rates for patients with severe acquired brain injuries(sABI), subsequently increasing the prevalence of disorders of consciousness (DoC) such as Unresponsive Wakefulness Syndrome (UWS) and Minimally Conscious State (MCS). However, the assessment of conscious states relies on the observation of behavioral responses, the interpretation of… →
CONCLUSIONS: The experimental 10% pregabalin gel reduced dental sensitivity and did not interfere with bleaching results. →
CONCLUSION: We conclude that the application of Earmuff is a fruitful method for preterm neonates to improve and stabilize the physiological parameters and behavioral response. →
Chronic Spontaneous Urticaria (CSU) significantly affects quality of life. This study evaluates the efficacy of histaglobulin combined with antihistamine (bilastine) versus antihistamine alone in CSU management. A single-center, open-label, randomized trial was conducted in the dermatology OPD of a tertiary care hospital from September 2023 to August 2024. Fifty-seven eligible participants aged > 18 years… →
OBJECTIVE: Postpartum hemorrhage (PPH) is the leading cause of maternal death. Identifying excessive bleeding is crucial, but there is no gold standard for its measurement. We aimed to assess accordance between two formulas for calculated blood loss (CBL) and weight-based blood loss (WBBL) to determine if CBL has a place in either the clinical or… →
CONCLUSIONS: Task-oriented circuit training in conjunction with a designed physiotherapy program is more effective in improving gait kinematics, pelvic symmetry, and endurance of trunk muscles among children with hemiplegia. →
Modern data workflows are increasingly burdened by growing dataset sizes and the complexity of distributed processing. Many organizations find that traditional systems struggle with long processing times, memory constraints, and managing distributed tasks effectively. In this environment, data scientists and engineers often spend excessive time on system maintenance rather than extracting insights from data. The… →
Large Language Models (LLMs) are widely used in medicine, facilitating diagnostic decision-making, patient sorting, clinical reporting, and medical research workflows. Though they are exceedingly good in controlled medical testing, such as the United States Medical Licensing Examination (USMLE), their utility for real-world uses is still not well-tested. Most existing evaluations rely on synthetic benchmarks that… →
Handling personally identifiable information (PII) in large language models (LLMs) is especially difficult for privacy. Such models are trained on enormous datasets with sensitive data, resulting in memorization risks and accidental disclosure. Managing PII is complex because datasets are constantly updated with new information, and some users may request data removal. In fields like healthcare,… →