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From Backend Automation to Frontend Collaboration: What’s New in AG-UI Latest Update for AI Agent-User Interaction
«`html From Backend Automation to Frontend Collaboration: What’s New in AG-UI Latest Update for AI Agent-User Interaction Introduction AI agents are increasingly moving from pure backend automators to visible, collaborative elements within modern applications. However, making agents genuinely interactive—capable of both responding to users and proactively guiding workflows—has long been an engineering headache. Each team… →
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First-in-human phase 1 study of KHK2455 monotherapy and in combination with mogamulizumab in patients with advanced solid tumors
CONCLUSIONS: KHK2455 + mogamulizumab was safe and well tolerated with manageable toxicities, and resulted in dose-dependent suppression of IDO1 activity; signals of antitumor activity were observed. →
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An examination of imaging findings in patients with clinically diagnosed gluteal tendinopathy: a secondary analysis of a randomised clinical trial
CONCLUSION: In a clinical trial of people with GT, a substantial number of participants had multiple tendons affected, as well as concomitant tendon tears and calcification. MRI detected changes were not associated with levels of pain, function or disability. →
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MiniMax AI Releases MiniMax-M1: A 456B Parameter Hybrid Model for Long-Context and Reinforcement Learning RL Tasks
MiniMax AI Releases MiniMax-M1: A 456B Parameter Hybrid Model for Long-Context and Reinforcement Learning RL Tasks Understanding the Target Audience The target audience for MiniMax AI’s release of MiniMax-M1 includes AI researchers, data scientists, software engineers, and business leaders in technology. These individuals are typically well-versed in AI and machine learning concepts and are looking… →
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Efficacy and safety of combined loratadine and mometasone furoate therapy in allergic rhinitis patients
CONCLUSION: The combination of loratadine and mometasone furoate effectively alleviates clinical symptoms in patients with allergic rhinitis while demonstrating a favorable safety profile, making it a promising option for clinical use. →
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A Resilience-Disclosure Intervention for Managing Stigmatised North Korean Refugee Identity: A Quasi-Randomised Controlled Trial
North Korean refugee (NKR) undergraduate students in South Korean universities often conceal their NKR identity to mitigate discrimination, a strategy that can impede social connection and access to vital resources for college adjustment. This study evaluates the effectiveness of a resilience-disclosure intervention designed to encourage strategic identity management over complete concealment. In a quasi-randomised controlled… →
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Long-term Progressive Improvement of Atopic Dermatitis by an Herbal Emollient Plus Combination in a 12-week Clinical Trial
Atopic dermatitis is a chronic inflammatory skin disease characterized by flare-ups of inflamed, dry, and itchy skin affecting over 200 million people worldwide. «Emollients plus» containing active cosmetic ingredients such as herbal extracts and phytochemicals have the potential to surpass the efficacy of conventional emollients, while avoiding side effects associated with pharmacological interventions. The reported… →
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OpenAI Releases an Open‑Sourced Version of a Customer Service Agent Demo with the Agents SDK
«`html OpenAI Releases an Open-Sourced Version of a Customer Service Agent Demo with the Agents SDK OpenAI has open-sourced a new multi-agent customer service demo on GitHub, showcasing how to build domain-specialized AI agents using its Agents SDK. This project, titled openai-cs-agents-demo, models an airline customer service chatbot capable of handling a range of travel-related… →
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ReVisual-R1: An Open-Source 7B Multimodal Large Language Model (MLLMs) that Achieves Long, Accurate and Thoughtful Reasoning
ReVisual-R1: An Open-Source 7B Multimodal Large Language Model (MLLM) that Achieves Long, Accurate and Thoughtful Reasoning Understanding the Target Audience The target audience for ReVisual-R1 includes AI researchers, data scientists, business managers, and technology enthusiasts interested in the advancements of multimodal language models. Their pain points often revolve around the limitations of existing models in… →
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Impact of AI-Assisted Diagnosis on American Patients’ Trust in and Intention to Seek Help From Health Care Professionals: Randomized, Web-Based Survey Experiment
CONCLUSIONS: Despite AI’s growing role in medicine, patients still prefer human-only expertise, regardless of partisanship and demographics, underscoring the need for strategies to build trust in AI technologies in health care. →
