Technological advances in clinical individualized medication for cancer therapy: from genes to whole organism.

Efforts have been made to leverage technology to accurately identify tumor characteristics and predict how each cancer patient may respond to medications. This involves collecting data from various sources such as genomic data, histological information, functional drug profiling, and drug metabolism using techniques like polymerase chain reaction, sanger sequencing, next-generation sequencing, fluorescence in situ hybridization, immunohistochemistry staining, patient-derived tumor xenograft models, patient-derived organoid models, and therapeutic drug monitoring. The utilization of diverse detection technologies in clinical practice has made "individualized treatment" possible, but the desired level of accuracy has not been fully attained yet.

MAP4 kinase-regulated reduced CLSTN1 expression in medulloblastoma is associated with increased invasiveness.

De-regulated protein expression contributes to tumor growth and progression in medulloblastoma (MB), the most common malignant brain tumor in children. MB is associated with impaired differentiation of specific neural progenitors, suggesting that the deregulation of proteins involved in neural physiology could contribute to the transformed phenotype in MB. Calsynthenin 1 (CLSTN1) is a neuronal protein involved in cell-cell interaction, vesicle trafficking, and synaptic signaling.

Biglycan stimulates retinal pathological angiogenesis via up-regulation of CXCL12 expression in pericytes.

Retinal pathological angiogenesis (PA) is a common hallmark in proliferative retinopathies, including age-related macular degeneration (AMD), proliferative diabetic retinopathy (PDR), and retinopathy of prematurity (ROP). The mechanisms underlying PA is complex and incompletely understood. In this study, we investigated the role of extracellular matrix (ECM) protein biglycan (BGN) in PA using an oxygen-induced retinopathy (OIR) mouse model, along with hypoxia (1% O) conditions for incubating pericytes and endothelial cells in vitro.

Virtual Primary Care-Improving Access, Efficiency, and Patient Experience.

The United States faces a growing scarcity of primary care resources within an already overstressed and poorly accessible health care system. Many health care organizations are evaluating novel models of care and adoption of digital technologies to improve primary care access and efficiency of health care delivery. This article describes a virtual primary care (VPC) model that expands access and increases the efficiency of the traditional primary care team by utilizing on-demand and asynchronous digital tools.

Assessment of Prostate MR Image and Predictive Value for Benign Prostate Disease among Different DWI Sequences.

Background: Early diagnosis of prostate cancer can improve the survival rate of patients on the premise of high-quality images. The prerequisite for early diagnosis is high-quality images. ZOOMit is a method for high-resolution, zoomed FOV imaging, allowing diffusion-weighted images with high contrast and resolution in short acquisition times.