Background/Objectives: Chronic low-grade inflammation is associated with insulin resistance and poor glycemic control, leading to the development of type 2 diabetes mellitus (T2DM). The present study investigated the effect of regular mango intake on inflammation and insulin sensitivity in participants with overweight or obesity and chronic low-grade inflammation. Methods: A human clinical study was performed… →
CONCLUSIONS: Probiotic supplementation may serve as an alternative supporting treatment, especially in the phenotype of women with a high FAI index. Probiotic therapy is also effective in reducing BMI in overweight women with PCOS. →
CONCLUSIONS: A novel educational intervention about ICI risks and benefits was feasible to deliver, deemed acceptable, and shows promise in improving knowledge and activation to ask questions without increasing anxiety. A future study evaluating UPLIFT’s efficacy in these and other outcomes, including severe ICI toxicity, is warranted. →
Artificial intelligence models face a fundamental challenge in efficiently scaling their reasoning capabilities at test time. While increasing model size often leads to performance gains, it also demands significant computational resources and extensive training data, making such approaches impractical for many applications. Traditional techniques, such as expanding model parameters or employing Chain-of-Thought (CoT) reasoning, rely… →
Artificial intelligence has made significant strides, yet developing models capable of nuanced reasoning remains a challenge. Many existing models struggle with complex problem-solving tasks, particularly in mathematics, coding, and scientific reasoning. These difficulties often arise due to limitations in data quality, model architecture, and the scalability of training processes. The need for open-data reasoning models… →
Reasoning tasks are yet a big challenge for most of the language models. Instilling a reasoning aptitude in models, particularly for programming and mathematical applications that require solid sequential reasoning, seems far distant. This problem could be attributed to the inherent complexity of these tasks that require a multi-step logical deduction approach planned with domain… →
Multi-agent AI systems utilizing LLMs are increasingly adept at tackling complex tasks across various domains. These systems comprise specialized agents that collaborate, leveraging their unique capabilities to achieve common objectives. Such collaboration has proven effective in complex reasoning, coding, drug discovery, and safety assurance through debate. The structured interactions among agents enhance problem-solving efficiency and… →