CONCLUSION: The administration of pronase prior to gastroscopy enhances visual field clarity, reduces examination time, and increases the detection rates of precancerous lesions and early cancer. →
CONCLUSION: OSA can effectively control patients’ postoperative pain with lower perioperative haemodynamic variability. It also has lower perioperative haemodynamic variability and acute pain in patients with high pain sensitivity, making it suitable for laparoscopic cholecystectomy. →
Oral-drug based regimens are useful in certain circumstances for transplant-ineligible newly diagnosed multiple myeloma (TI-NDMM), but few studies have compared Ixazomib based regimen with lenalidomide based regimen head-to-head. We carried out a prospective randomized, open, parallel group trial in patients with TI-NDMM in 3 China centers from March 2020 to December 2022. Sixty-three patients were… →
Large-scale reinforcement learning (RL) training of language models on reasoning tasks has become a promising technique for mastering complex problem-solving skills. Currently, methods like OpenAI’s o1 and DeepSeek’s R1-Zero, have demonstrated remarkable training time scaling phenomenon. Both models’ benchmark performance and response length consistently and steadily increase without any sign of saturation as the training… →
INTRODUCTION: The active involvement of end users may overcome socio-economic, cultural and context-related barriers that may reduce health promotion effectiveness in type 2 diabetes control and prevention. The «Cardio-metabolic diseases in immigrants and ethnic minorities: from epidemiology to new prevention strategies» (DIABETHIC) project funded by the European Union through the Italian Ministry of Health includes… →
CONCLUSIONS: In art health programs, leveraging the painting and language technologies of AI, along with the painting and simulation technologies of VR, can effectively enhance cognitive function and mental health in older people with mild cognitive impairment. →
Large language models that use the Mixture-of-Experts (MoE) architecture have enabled significant increases in model capacity without a corresponding rise in computation. However, this approach also introduces challenges—especially when it comes to communication between GPUs. In MoE models, only a subset of experts is active for any given token, so efficiently exchanging data among devices… →