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Feasibility and acceptability of the Comprehensive Oncology Rehabilitation and Exercise (CORE) clinical workflow algorithm in patients with newly diagnosed stage I-III breast cancer who undergo surgery as first-line treatment
CONCLUSIONS: The CORE clinical workflow algorithm is feasible and acceptable among women who have newly diagnosed stage I-III breast cancer with plans for surgery as first-line treatment. CORE was also acceptable among clinic staff. →
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Cold Therapy For Recovery: A Fast Track To Healing
Cold Therapy For Recovery: A Fast Track To Healing Cold therapy for recovery is a game-changer. It& one of the most effective ways to speed up healing after an injury or intense workout. I’ve used it myself, and it works wonders for reducing pain and inflammation. Let’s dive into how cold therapy helps speed up… →
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Improved overall survival in an anti-PD-L1 treated cohort of newly diagnosed glioblastoma patients is associated with distinct immune, mutation, and gut microbiome features: a single arm prospective phase I/II trial
This phase I/II trial aims to evaluate the efficacy of concurrent atezolizumab with radiation therapy and temozolomide (TMZ) followed by adjuvant atezolizumab and TMZ in newly diagnosed glioblastoma (GBM) patients and to identify pre-treatment correlates with outcome (N = 60). Trial number: NCT03174197. The primary outcome was overall survival (OS) whereas secondary outcomes were retrospective… →
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Enteric-coated Mycophenolate Sodium plus hydroxychloroquine therApy versus hydroxychloroquine for the Remission of Proteinuria in IgA Nephropathy (EMSAR-IgAN trial): study protocol for a randomised trial
INTRODUCTION: The management of immunoglobulin A (IgA) nephropathy remains a topic of debate. Hydroxychloroquine and mycophenolate mofetil (MMF) are two immunosuppressive agents that have recently garnered increased attention among patients with IgA nephropathy in China. Several studies have shown the comparable efficacy between MMF and enteric-coated mycophenolate sodium (EC-MPS), with lower adverse event rates for… →
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A Coding Tutorial of Model Context Protocol Focusing on Semantic Chunking, Dynamic Token Management, and Context Relevance Scori…
A Coding Tutorial of Model Context Protocol Focusing on Semantic Chunking, Dynamic Token Management, and Context Relevance Scoring for Efficient LLM Interactions Managing context effectively is a critical challenge when working with large language models, especially in environments like Google Colab, where resource constraints and long documents can quickly exceed available token windows. In this… →
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Devin AI Introduces DeepWiki: A New AI-Powered Interface to Understand GitHub Repositories
Devin AI Introduces DeepWiki: A New AI-Powered Interface to Understand GitHub Repositories Devin AI recently introduced , a free tool that automatically generates structured, wiki-style documentation for any GitHub repository. Built using their in-house DeepResearch agent , DeepWiki aims to simplify the process of understanding unfamiliar codebases by offering a comprehensive, interactive overview directly from… →
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Tiny Models, Big Reasoning Gains: USC Researchers Introduce Tina for Cost-Effective Reinforcement Learning with LoRA…
Tiny Models, Big Reasoning Gains: USC Researchers Introduce Tina for Cost-Effective Reinforcement Learning with LoRA Achieving strong, multi-step reasoning in LMs remains a major challenge, despite notable progress in general task performance. Such reasoning is crucial for complex problem-solving domains, such as scientific research and strategic planning. Traditionally, enhancing reasoning skills involves supervised fine-tuning (SFT),… →
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Alibaba Cloud AI vs Azure AI: Scalable AI Solutions for Product Teams
Alibaba Cloud AI powers cross-industry solutions like retail and logistics with scalable AI/ML tools driving operational efficiency Optimizing cloud resource usage lowers infrastructure costs by 20% Equivalent products from the list include Microsoft Azure AI or Google DeepMind →
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Researchers from Sea AI Lab, UCAS, NUS, and SJTU Introduce FlowReasoner: a Query-Level Meta-Agent for Personalized System Genera…
Researchers from Sea AI Lab, UCAS, NUS, and SJTU Introduce FlowReasoner: a Query-Level Meta-Agent for Personalized System Generation LLM-based multi-agent systems characterized by planning, reasoning, tool use, and memory capabilities form the foundation of applications like chatbots, code generation, mathematics, and robotics. However, these systems face significant challenges as they are manually designed, leading to… →
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Microsoft Releases a Comprehensive Guide to Failure Modes in Agentic AI Systems
Microsoft Releases a Comprehensive Guide to Failure Modes in Agentic AI Systems As agentic AI systems evolve, the complexity of ensuring their reliability, security, and safety grows correspondingly. Recognizing this, Microsoft& AI Red Team (AIRT) has published a . This report provides a critical foundation for practitioners aiming to design and maintain resilient agentic systems.… →
