In AI, a key challenge lies in improving the efficiency of systems that process unstructured datasets to extract valuable insights. This involves enhancing retrieval-augmented generation (RAG) tools, combining traditional search and AI-driven analysis to answer localized and overarching queries. These advancements address diverse questions, from highly specific details to more generalized insights spanning entire datasets.… →
Large language models (LLMs) have transformed the development of agent-based systems for good. However, managing memory in these systems remains a complex challenge. Memory mechanisms enable agents to maintain context, recall important information, and interact more naturally over extended periods. While many frameworks assume access to GPT or other proprietary APIs, the potential for local… →
CONCLUSIONS: Our findings suggest that Len/Dex/DLIs in second line treatment after upfront tandem auto/allo HCT in relapsed MM patients remains feasible and safe. With a potential correlation between induction chemotherapy and DLI responses, more potent induction regimens together with higher doses of DLIs should be considered in the future. →
In recent years, there has been a growing demand for machine learning models capable of handling visual and language tasks effectively, without relying on large, cumbersome infrastructure. The challenge lies in balancing performance with resource requirements, particularly for devices like laptops, consumer GPUs, or mobile devices. Many vision-language models (VLMs) require significant computational power and… →
Magnetic resonance imaging (MRI) may be time-consuming, expensive, or poorly tolerated by patients with liver lesions. This is a prospective clinical trial designed to evaluate if contrast-enhanced ultrasound (CEUS) can be used to differentiate focal nodular hyperplasia (FNH) from hepatocellular adenoma (HCA) with similar accuracy compared with hepatobiliary agent MRI.Institutional review board approval was obtained… →
Anthropic has open-sourced the Model Context Protocol (MCP), a major step toward improving how AI systems connect with real-world data. By providing a universal standard, MCP simplifies the integration of AI with data sources, enabling smarter, more context-aware responses and making AI systems more effective and accessible. Despite remarkable advances in AI’s reasoning capabilities and… →
Recommender systems are essential in modern digital platforms, enabling personalized user experiences by predicting preferences based on interaction data. These systems help users navigate the vast online content by suggesting relevant items critical to addressing information overload. By analyzing user-item interactions, they generate recommendations that aim to be accurate and diverse. However, as the digital… →
CONCLUSIONS: CP@home had a significant impact on reducing EMS calls for those with a lift assist call but not for the overall sample. This program filled a healthcare gap by shifting primary care delivery, which could reduce the disproportionate number of EMS calls, thus reducing healthcare costs. →
CONCLUSION: Virtual education using social networks alone is not able to increase and improve all aspects of BSE skills sufficiently. →
CONCLUSIONS: In this exploratory study, there was no superior ORR at d28 demonstrated in the MSC group compared with the control. However, MSCs showed a gradual treatment effect at a median of 2 weeks. Patients who completed 8 infusions may benefit from adding MSCs to one conventional second-line agent, especially those with gut involvement. MSCs… →