CONCLUSION: Diclofenac 75 mg IM provides faster effective pain relief compared with tramadol 50 mg IV. →
CONCLUSION: In a pragmatic setting, use of ORE for gait training enabled patients with lower ambulatory capacity to walk longer distances during therapy sessions. Patients who required continuous assistance during ambulation (FAC 1) had significantly better gains in FIM-motor compared to conventional therapy, suggesting possible benefit of ORE for this group. →
CONCLUSION: This study addresses a critical gap in understanding the impact of pre-emptive mTOR inhibitor therapy on neuropsychologic outcomes in young TSC patients, aiming to improve overall patient outcomes and quality of life. EUCT number: 2022-502332-39-00, Registered 22/06/2023, https://euclinicaltrials.eu/search-for-clinical-trials/?lang=en&EUCT=2022-502332-39-00. →
CONCLUSION: Although most of the parents and children accepted both appliances, cessation of the habit was higher in the control group than in the intervention group. →
CONCLUSIONS: The presence of inflammation on SI joints-MRI is associated with higher disease activity in axSpA. Resolution of inflammation on MRI is associated with better clinical outcomes in the long-term follow-up. Thus, achieving complete resolution of inflammation is favourable for meeting the treatment goals in axSpA. →
CONCLUSION: Monitoring with patch ECG was feasible in endurance athletes, but ECG recording quality varied between athletes and by type of exercise. →
CONCLUSION: Lebrikizumab-treated patients with moderate-to-severe AD showed improved symptoms and QoL across EASI response categories at W16, with greater improvements observed in patients with higher EASI responses. →
The development of Physical AI—AI systems designed to simulate, predict, and optimize real-world physics—has long been constrained by significant challenges. Building accurate models often demands extensive computational resources and time, with simulations sometimes requiring days or weeks to produce actionable results. Additionally, the complexity of scaling these systems for practical use across industries such as… →
Dense embedding-based text retrieval has become the cornerstone for ranking text passages in response to queries. The systems use deep learning models for embedding text into vector spaces that enable semantic similarity measurements. This method has been adopted widely in applications such as search engines and retrieval-augmented generation (RAG), where retrieving accurate and contextually relevant… →