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Experiences of Using a Digital Text Messaging Intervention to Support Oral Medication Adherence for People Living With Type 2 Diabetes: Qualitative Process Evaluation
CONCLUSIONS: This work demonstrates the value of engaging people longitudinally in thinking about their general health, the importance of interrogating context, and the holistic benefit of health messaging. Many people perceived wide-ranging and unexpected benefits from using the intervention over time, challenging assumptions about who might be expected to appraise the system more positively and… →
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The correlation between the level of therapy adherence and inhalation technique in children with uncontrolled asthma using a smart inhaler: the IMAGINE study
CONCLUSION: Our findings demonstrated no correlation between therapy adherence and inhalation technique, suggesting that these should be regarded as distinct and frequent pitfalls of inhaled medication use.We observed that inhalation technique was significantly associated with ER visits, rescue medication use, age, and height, while good adherence correlated with ER visits. Recognizing these factors allows pediatricians… →
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A Comprehensive Coding Tutorial for Advanced SerpAPI Integration with Google Gemini-1.5-Flash for Advanced Analytics
Advanced SerpAPI Integration Tutorial with Google Gemini-1.5-Flash A Comprehensive Coding Tutorial for Advanced SerpAPI Integration with Google Gemini-1.5-Flash for Advanced Analytics This tutorial demonstrates how to integrate SerpAPI’s Google search capabilities with Google’s Gemini-1.5-Flash model to create an end-to-end research and analysis workflow. By defining an AdvancedSerpAPI Python class, users gain access to enhanced search… →
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Darwin Gödel Machine: A Self-Improving AI Agent That Evolves Code Using Foundation Models and Real-World Benchmarks
Introduction: The Limits of Traditional AI Systems Conventional artificial intelligence systems are limited by their static architectures. These models operate within fixed, human-engineered frameworks and cannot autonomously improve after deployment. In contrast, human scientific progress is iterative and cumulative—each advancement builds upon prior insights. Taking inspiration from this model of continuous refinement, AI researchers are… →
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Battery longevity of a helix-fixation dual-chamber leadless pacemaker: results from the AVEIR DR i2i Study
CONCLUSION: The first dual-chamber LP demonstrated adequate projected battery longevity after 12 months of use. Patient-specific device programming considerations, unique to leadless devices, may extend longevity. →
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Lymphatic mapping Of Oropharyngeal Cancer (LOOC): protocol for a phase II surgical imaging trial to evaluate contralateral drainage and occult metastasis in oropharyngeal cancer
INTRODUCTION: Treatment of the node negative contralateral neck in oropharyngeal cancer (OPC) remains debated, with no clear consensus. Prophylactic contralateral neck treatment (either surgically or via irradiation) is generally recommended when the estimated risk of occult nodal metastasis is >20%. Unfortunately, patients undergoing bilateral neck treatment often require long-term supportive care for swallowing dysfunction. Reducing… →
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Alibaba Qwen Team Releases Qwen3-Embedding and Qwen3-Reranker Series – Redefining Multilingual Embedding and Ranking Standards
Alibaba Qwen Team Releases Qwen3-Embedding and Qwen3-Reranker Series – Redefining Multilingual Embedding and Ranking Standards Text embedding and reranking are foundational to modern information retrieval systems, powering applications such as semantic search, recommendation systems, and retrieval-augmented generation (RAG). Current approaches face key challenges—especially in achieving high multilingual fidelity and task adaptability without relying on proprietary… →
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Teaching AI to Say ‘I Don’t Know’: A New Dataset Mitigates Hallucinations from Reinforcement Finetuning
Teaching AI to Say ‘I Don’t Know’: A New Dataset Mitigates Hallucinations from Reinforcement Finetuning Reinforcement finetuning (RFT) employs reward signals to guide large language models (LLMs) toward producing desirable outputs. This method enhances the model’s ability to generate logical and structured responses by reinforcing correct answers. However, a significant challenge remains: ensuring these models… →
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10 Essential Leadership Traits for the AI Era
Artificial intelligence is rewriting the rules of business and technology leadership in real time. Given that fact, what leadership skills are most important right now? We asked AI experts and business and technology leaders at the 2025 MIT Sloan CIO Symposium to weigh in on the most important traits for AI leadership. You might expect… →
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Remote early detection of SARS-CoV-2 infections using a wearable-based algorithm: Results from the COVID-RED study, a prospective randomised single-blinded crossover trial
CONCLUSIONS: Our findings highlight the potential role of wearable devices in early detection of SARS-CoV-2. The experimental algorithm overestimated infections, but future iterations could finetune the algorithm to improve specificity and enable it to differentiate between respiratory illnesses. →