Recommendation systems are essential for connecting users with relevant content, products, or services. Dense retrieval methods have been a mainstay in this field, utilizing sequence modeling to compute item and user representations. However, these methods demand substantial computational resources and storage, as they require embeddings for every item. As datasets grow, these requirements become increasingly… →
In the ever-evolving landscape of artificial intelligence, the year 2025 has brought forth a treasure trove of educational resources for aspiring AI enthusiasts and professionals. AI agents, with their ability to perform complex tasks autonomously, are at the forefront of this revolution. Here, we highlight 13 free courses that delve into the intricacies of AI… →
BACKGROUND: Inflammation is increasingly recognised as a treatment target in hand osteoarthritis, and therefore correct measurement of local inflammation is essential. This study aimed to assess ultrasound scoring of synovitis and the additional value of the Global OMERACT/EULAR Ultrasound Synovitis Score (GLOESS) in hand osteoarthritis. →
CONCLUSION: Newly diagnosed RA patients have enhanced coagulation activation and impaired fibrinolysis as demonstrated by our results. Effective antirheumatic treatments during the first 24 weeks after diagnosis improved this haemostatic imbalance, with prominent effects of biological drugs and especially tocilizumab, compared with conventional treatment. →
To examine the impact of an educational approach incorporating behavioral modification and the Health Belief Model on the adherence to skin moisturizing care, itch severity, self-efficacy, and quality of life among individuals diagnosed with psoriasis vulgaris. A study involving 108 psoriasis vulgaris patients (November 2022-October 2023) utilized random allocation to form experimental and control groups.… →
Urinary biomarker studies in cardiothoracic and kidney-sparing surgery have demonstrated renal protection by Remote Ischaemic PreConditioning (RIPC). RIPC intervention generates cycles of ischaemia and reperfusion of the limbs before the actual ischaemia of the target organ (e.g. kidney) is initiated. This explorative trial aims to investigate whether Blood Oxygenation Level Dependent-MRI (BOLD-MRI) can be a… →
Spatial-temporal data handling involves the analysis of information gathered over time and space, often through sensors. Such data is crucial in pattern discovery and prediction. However, missing values pose a problem and make it challenging to analyze. Such gaps may often create inconsistencies with the dataset, causing harder analysis. The relationships between features, like environmental… →
Large Language Models (LLMs) and Vision Language Models (VLMs) have revolutionized the automation of mobile device control through natural language commands, offering solutions for complex user tasks. The conventional approach, “Step-wise GUI agents,” operates by querying the LLM at each GUI state for dynamic decision-making and reflection, continuously processing the user’s task, and observing the… →
BAY 2413555 is a novel selective and reversible positive allosteric modulator of the type 2 muscarinic acetylcholine (M2) receptor, aimed at enhancing parasympathetic signaling and restoring cardiac autonomic balance for the treatment of heart failure (HF). This study tested the safety, tolerability and pharmacokinetics of this novel therapeutic option. REMOTE-HF was a multicenter, double-blind, randomized,… →
Background: the evolution of axillary management in breast cancer has witnessed significant changes in recent decades, leading to an overall reduction in surgical interventions. There have been notable shifts in practice, aiming to minimize morbidity while maintaining oncologic outcomes and accurate staging for newly diagnosed breast cancer patients. These advancements have been facilitated by the… →