Background: Colorectal cancer (CRC) is a prevalent type of cancer, ranking third in incidence and fourth in cancer-related deaths globally.The increase in mortality rates related to colorectal cancer among younger patients is a cause for concern.Chemotherapy is the primary approach for palliative care in colon cancer, but the development of drug re
Graph Neural Networks (GNNs) are powerful tools for learning graph-structured data, but their scalability is hindered by inefficient mini-batch generation, data transfer bottlenecks, and costly inter-GPU synchronization.Existing training frameworks fail to overlap these stages, leading to suboptimal resource utilization.This paper proposes MQ-GNN,
Abstract Background To date very few systems have been described for preclinical investigations of human cellular therapeutics in vivo.However, the ability to carry out comparisons of new cellular vaccines in vivo would be of substantial interest for design of clinical studies.Here we describe a humanized mouse model to assess the efficacy of vario
This paper deals with the results of the mid-term review of the Austrian Rural Development Programme 2007-2013 as part of the European Unions Common Agricultural Policy.The measure to conserve and improve rural heritage covers the felds Nature Conservation and Environmental Protection, National Parks, Cultural (Man-Made) Landscape, Forestry, Water
Abstract Background Resistance read more to HER2-targeted therapeutics remains a significant clinical problem in HER2+ breast cancer patients with advanced disease.This may be particularly true for HER2+ patients with basal subtype disease, as recent evidence suggests they receive limited benefit from standard of care HER2-targeted therapies.Identi