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… →
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. →

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… →

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… →
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… →
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… →
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. →

CONCLUSIONS: This pilot study showed the feasibility, acceptability, and potential impact of Connect4LungHealth intervention in improving LCS uptake and reducing cigarette use among high-risk Asian populations. Our integrated approach, utilizing mobile TXT combined with CHW model, is novel and highly relevant, and implementable in underserved communities. Future large-scale efficacy and implementation trials are needed to… →

Systemic lupus erythematosus (SLE) is an autoimmune rheumatic disease with relapsing and remitting periods. Systemic lupus erythematosus (SLE) is an autoimmune rheumatic disease with relapsing and remitting periods. It has been reported that alterations of gut microbiota can affect disease activity in SLE. Probiotics which can modify the gut microbiota may be useful to control… →

«`html A Step-by-Step Coding Guide to Building an Iterative AI Workflow Agent Using LangGraph and Gemini In this tutorial, we demonstrate how to build a multi-step, intelligent query-handling agent using LangGraph and Gemini 1.5 Flash. The core idea is to structure AI reasoning as a stateful workflow, where an incoming query is passed through a… →