CONCLUSION: This nationwide study was successful at identifying patients and evaluating the efficacy of molecularly targeted therapy for rare molecular subgroups of patients in a histology-agnostic fashion. Unfortunately, there was no activity of samotolisib against tumors with PI3K/mTOR pathway alterations. Prospective trials such as the NCI-COG Pediatric MATCH are necessary to evaluate the efficacy of… →
Chronic myelomonocytic leukemia (CMML) is a rare blood cancer of older adults (3 in every 1,000,000 persons) characterized by poor survival and lacking effective mutation-specific therapy. Mutations in the ubiquitin ligase Cbl occur frequently in CMML and share biological and molecular features with a clonal disease occurring in children, juvenile myelomonocytic leukemia (JMML). Here we… →
In recent research, a state-of-the-art technique has been introduced for utilizing Large Language Models (LLMs) to verify RDF (Resource Description Framework) triples, emphasizing the significance of providing traceable and verifiable reasoning. The fundamental building blocks of knowledge graphs (KGs) are RDF triples, which are composed of subject-predicate-object statements that describe relationships or facts. Maintaining the… →
LLMs exhibit remarkable language abilities, prompting questions about their memory mechanisms. Unlike humans, who use memory for daily tasks, LLMs’ “memory” is derived from input rather than stored externally. Research efforts have aimed to improve LLMs’ retention by extending context length and incorporating external memory systems. However, these methods do not fully clarify how memory… →
Novak Zivanic has made a significant contribution to the field of Natural Language Processing with the release of Embedić, a suite of Serbian text embedding models. These models are specifically designed for Information Retrieval and Retrieval-Augmented Generation (RAG) tasks. Specifically, the smallest model in the suite has achieved a remarkable feat, surpassing the previous state-of-the-art… →
The release of Pixtral 12B by Mistral AI represents a groundbreaking leap in the multimodal large language model powered by an impressive 12 billion parameters. This advanced AI model is designed to handle and generate textual and visual content, making it a versatile tool for various industries. Capable of processing massive datasets and delivering highly… →
BACKGROUND: Knee osteoarthritis affects the performance of daily activities, independence, and quality of life. The etiopathogenesis of this condition considers the mechanisms of activation of metalloproteinase and reactive oxygen species production pathways. Metalloproteinases-3 (MMP-3) and Glutathione Peroxidase (GPx) may be responsible for cartilage destruction. Aquatic physiotherapy promotes a positive impact on the clinical picture of… →
Background: Antimicrobial Photodynamic therapy for the treatment of periodontitis is being increasingly gaining attention but at present, very limited data are available on the clinical and microbiological outcomes obtained following Indocyanine Green as the photosensitizer in Maintenance patients. The objective was to evaluate the efficiency of Indocyanine(ICG)-green based photodynamic therapy as an adjunct to scaling… →
CONCLUSION: Wet cupping therapy can be an efficient therapeutic method to ameliorate respiratory complications of asthma patients. →
Text embedding models have become foundational in natural language processing (NLP). These models convert text into high-dimensional vectors that capture semantic relationships, enabling tasks like document retrieval, classification, clustering, and more. Embeddings are especially critical in advanced systems such as Retrieval-Augmented Generation (RAG) models, where the embeddings support retrieving relevant documents. With the increasing need… →