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A pragmatic randomized trial to compare strategies for implementing primary HPV testing for routine cervical cancer screening in a large healthcare system
CONCLUSIONS: Primary HPV screening was feasible and demonstrated high fidelity in all KPSC service areas. The locally-tailored practice substitution approach and centrally-administered practice substitution approach both achieved near complete uptake of primary HPV screening. Further, similar effects on stakeholder-centered outcomes were observed for both approaches. However, generalizability of our findings may be limited due to… →
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Effectiveness of a community-based rehabilitation programme following hip fracture: results from the Fracture in the Elderly Multidisciplinary Rehabilitation phase III (FEMuR III) randomised controlled trial
CONCLUSIONS: The FEMuR intervention was not more effective than usual rehabilitation care. The trial was severely impacted by COVID-19. Possible reasons for lack of effect included limited intervention fidelity (fewer sessions than planned and remote delivery), lack of usual levels of support from health professionals and families, and change in recovery beliefs and behaviours during… →
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Minimum clinically important difference in Quantitative Lung Fibrosis score associated with all-cause mortality in idiopathic pulmonary fibrosis: subanalysis from two phase II trials of pamrevlumab
CONCLUSION: A conservative metric of 2% can be used as the MCID of QLF for predicting all-cause mortality. This may be considered in IPF trials in which the degree of structural fibrosis assessed via HRCT is an endpoint. The MCID of SGRQ and FVC corresponds with a greater amount of QLF and may reflect that… →
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Evaluating the cost-effectiveness of replacing lansoprazole with vonoprazan for treating erosive oesophagitis
CONCLUSION: Vonoprazan is potentially cost-effective for the initial healing of severe oesophagitis, after endoscopic diagnosis. Further trials and economic evaluations are necessary for the symptom-based prescription of vonoprazan and to determine the optimal dosage, frequency and duration. →
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How Deep Learning is Revolutionizing Online Transaction Fraud Detection
The convenience of clicking “buy now” or instantly transferring funds has become second nature. But beneath this seamless digital surface lurks a rapidly growing shadow: online transaction fraud. This isn’t just a minor nuisance; it’s a global crisis. In 2024 alone, consumers reported staggering losses exceeding $12.5 billion due to fraud, a 25% jump from… →
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RL^V: Unifying Reasoning and Verification in Language Models through Value-Free Reinforcement Learning
LLMs have gained outstanding reasoning capabilities through reinforcement learning (RL) on correctness rewards. Modern RL algorithms for LLMs, including GRPO, VinePPO, and Leave-one-out PPO, have moved away from traditional PPO approaches by eliminating the learned value function network in favor of empirically estimated returns. This reduces computational demands and GPU memory consumption, making RL training… →
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OpenAI Releases HealthBench: An Open-Source Benchmark for Measuring the Performance and Safety of Large Language Models in Healthcare
OpenAI has released HealthBench, an open-source evaluation framework designed to measure the performance and safety of large language models (LLMs) in realistic healthcare scenarios. Developed in collaboration with 262 physicians across 60 countries and 26 medical specialties, HealthBench addresses the limitations of existing benchmarks by focusing on real-world applicability, expert validation, and diagnostic coverage. Addressing… →
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The Three Green Flags of Meaningful Work
Carolyn Geason-Beissel/MIT SMR | Getty Images It was her dream job — on paper, at least. As the vice president of communications at a global pharmaceutical company, Rushmie Nofsinger expected to step into a challenging role in which she could use her strengths and passions to have a positive impact on issues that really mattered… →
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Multimodal AI Needs More Than Modality Support: Researchers Propose General-Level and General-Bench to Evaluate True Synergy in Generalist Models
Artificial intelligence has grown beyond language-focused systems, evolving into models capable of processing multiple input types, such as text, images, audio, and video. This area, known as multimodal learning, aims to replicate the natural human ability to integrate and interpret varied sensory data. Unlike conventional AI models that handle a single modality, multimodal generalists are… →
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A Step-by-Step Guide on Building, Customizing, and Publishing an AI-Focused Blogging Website with Lovable.dev and Seamless GitHub Integration
In this tutorial, we will guide you step-by-step through creating and publishing a sleek, modern AI blogging website using Lovable.dev. Lovable.dev simplifies website creation, enabling users to effortlessly develop visually appealing and responsive web pages tailored to specific niches, like AI and technology. We’ll demonstrate how to build a homepage quickly, integrate interactive components, and… →