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Efficacy and safety of combining tislelizumab with capecitabine compared to capecitabine alone in the adjuvant treatment of biliary tract cancers: rationale and protocol design for a randomized clinical trial
BACKGROUND: Adjuvant therapy with capecitabine is recommended to improve survival for resectable biliary tract cancers (BTC) patients. Considering that the combination of PD-1/PD-L1 inhibitors with chemotherapy has demonstrated a survival benefit over chemotherapy alone in advanced stage BTC, we aim to evaluate the treatment efficacy and safety of tislelizumab, a PD-1 inhibitor, combined with capecitabine… →
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My patient might be depressed — can I still screen for MCI? Exploring cognitive performance on the MoCA in older people screened for depressive symptoms with the PHQ-9
CONCLUSION: Cognitive screening with the MoCA seems to be robust against depression and could therefore be used to screen for MCI regardless of depression level. →
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Effects of a novel differential diagnosis aid for managing patients with unexplained fatigue in primary care: a prospective randomized, controlled, open and multicenter study in primary care
CONCLUSIONS: In this pilot study, the FDDA, a structured diagnostic aid for guiding PCPs in identifying the causes of unexplained fatigue in their patients, was not able to show a global improvement in patient outcomes despite improvements in fatigue and satisfaction with care. The evaluation of fatigue in larger-scale studies is warranted. →
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Major depressive disorder in children and adolescents is associated with reduced hair cortisol and anandamide (AEA): cross-sectional and longitudinal evidence from a large randomized clinical trial
Pediatric major depressive disorder (MDD) represents a leading cause of disability worldwide in children and adolescents, while its underlying pathophysiology remains largely elusive. The endocannabinoid system (ECS) and the hypothalamus-pituitary-adrenal (HPA) axis are considered intertwined regulatory systems crucially implicated in the pathophysiology of depressive disorders. This study explores the cross-sectional and longitudinal association between the… →
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Tislelizumab as adjuvant therapy following endoscopic surgery for resectable recurrent nasopharyngeal carcinoma: a randomized clinical trial
CONCLUSIONS: Tislelizumab as adjuvant therapy significantly enhanced PFS and PFI, with a favorable safety profile. Longer follow-up is necessary to determine whether this regimen can be considered as the standard of care for patients with resectable rNPC following endoscopic surgery. →
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Assessing water-assisted colonoscopy in beginner endoscopists: a randomised controlled trial
CONCLUSION: WAC is a safe and effective alternative to CC for novice endoscopists, with similar procedure times, learning curves and safety profiles. These findings support the inclusion of WAC in gastroenterology training programmes. →
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Step-by-Step Guide to Creating Synthetic Data Using the Synthetic Data Vault (SDV)
«`html Step-by-Step Guide to Creating Synthetic Data Using the Synthetic Data Vault (SDV) Real-world data is often costly, messy, and limited by privacy rules. Synthetic data offers a solution and is already widely used in various applications such as training large language models (LLMs) with AI-generated text, simulating edge cases for fraud detection systems, and… →
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NVIDIA Releases Llama Nemotron Nano 4B: An Efficient Open Reasoning Model Optimized for Edge AI and Scientific Tasks
NVIDIA Releases Llama Nemotron Nano 4B: An Efficient Open Reasoning Model Optimized for Edge AI and Scientific Tasks Introduction NVIDIA has launched the Llama Nemotron Nano 4B, an open-source reasoning model tailored for strong performance and efficiency across various scientific tasks, programming, symbolic math, function calling, and instruction following. With only 4 billion parameters, it… →
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NVIDIA AI Introduces AceReason-Nemotron for Advancing Math and Code Reasoning through Reinforcement Learning
NVIDIA AI Introduces AceReason-Nemotron for Advancing Math and Code Reasoning through Reinforcement Learning Introduction Reasoning capabilities are essential to the advancement of AI systems. The introduction of OpenAI’s o1 encouraged significant interest in building reasoning models through large-scale reinforcement learning (RL) approaches. While the open-sourcing of DeepSeek-R1 empowered the community to innovate state-of-the-art reasoning models,… →
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Microsoft Releases NLWeb: An Open Project that Allows Developers to Easily Turn Any Website into an AI-Powered App with Natural Language Interfaces
Microsoft Releases NLWeb: An Open Project for AI-Powered Web Integration Many websites struggle to provide accessible and cost-effective ways to integrate natural language interfaces. This limitation often hampers user interaction with site content through conversational AI. Traditional solutions frequently rely on centralized, proprietary services or require significant technical expertise, restricting scalability and adaptability. Consequently, developers… →