Combination autologous stem cell transplantation with chimeric antigen receptor T-cell therapy for refractory/relapsed B-cell lymphoma: a single-arm clinical study.

Autologous stem cell transplantation (ASCT) and chimeric antigen receptor T-cells (CAR-T) have been used as consolidation therapies for patients with refractory/relapsed B cell non-Hodgkin's lymphoma (R/R B-NHL) in remission after second-line chemotherapy or salvage therapy. However, patients with different pathological subtypes and remission states may benefit differently from ASCT or CAR-T cell therapy. Furthermore, consolidation treatment involving ASCT or CAR-T cells still poses a significant risk of disease relapse.

Association of Early Blood Pressure Levels and Outcomes in Ischemic Stroke Treated With Intravenous Thrombolysis: A Prospective Cohort Study.

Background And Purpose: Current guidelines for acute ischemic stroke (AIS) treatment recommend a lenient upper blood pressure (BP) threshold of 185/110 mmHg. However, stricter BP control has been reported to improve prognosis. This study aims to identify the optimal BP range following thrombolysis.

Gut Metabolome in Companion Animal Nutrition-Linking Diets to Health.

Tailoring diet to support a healthy gut microbiome is key for animal well-being. The gut metabolome, including all small molecules in the gut, is central to diet-microbiome-health interactions. While comprehension of the gut metabolome in companion animal nutrition is emerging, a substantial number of studies have been undertaken to elucidate the metabolomic shifts and identify specific marker metabolites influenced by diverse dietary interventions.

Improved density peak clustering with a flexible manifold distance and natural nearest neighbors for network intrusion detection.

Recently, density peak clustering (DPC) has gained attention for its ability to intuitively determine the number of classes, identify arbitrarily shaped clusters, and automatically detect and exclude anomalies. However, DPC faces challenges as it considers only the global distribution, resulting in difficulties with group density, and its point allocation strategy may lead to a domino effect. To expand the scope of DPC, this paper introduces a density peak clustering algorithm based on the manifold distance and natural nearest neighbors (DPC-MDNN).

Zebrafish identification with deep CNN and ViT architectures using a rolling training window.

Zebrafish are widely used in vertebrate studies, yet minimally invasive individual tracking and identification in the lab setting remain challenging due to complex and time-variable conditions. Advancements in machine learning, particularly neural networks, offer new possibilities for developing simple and robust identification protocols that adapt to changing conditions. We demonstrate a rolling window training technique suitable for use with open-source convolutional neural networks (CNN) and vision transformers (ViT) that shows promise in robustly identifying individual maturing zebrafish in groups over several weeks.