MedKnee: A New Deep Learning-Based Software for Automated Prediction of Radiographic Knee Osteoarthritis.

In computer-aided medical diagnosis, deep learning techniques have shown that it is possible to offer performance similar to that of experienced medical specialists in the diagnosis of knee osteoarthritis. In this study, a new deep learning (DL) software, called "MedKnee" is developed to assist physicians in the diagnosis process of knee osteoarthritis according to the Kellgren and Lawrence (KL) score. To accomplish this task, 5000 knee X-ray images obtained from the Osteoarthritis Initiative public dataset (OAI) were divided into train, valid, and test datasets in a ratio of 7:1:2 with a balanced distribution across each KL grade.

Blood Products, Crystalloids, and Rapid Infusion: An Experimental Study With Magnesium.

Objectives: Calcium and magnesium are concentration-dependent pro- and anticoagulant cofactors, and magnesium behaves similarly to calcium in the presence of citrate. The authors hypothesized that magnesium can cause clot formation (primary objective) when mixed with coagulation factor-containing blood products diluted with different crystalloids in a rapid- infuser reservoir. A secondary objective was the observation of any infuser alarms and stops in the event of clotting.

An Analysis of Guideline Consensus for the Prevention, Diagnosis, and Management of Diabetic Foot Ulcers.

Background: Multiple organizations have issued guidelines to address the prevention, diagnosis, and management of diabetic foot ulcers (DFUs) based on evidence review and expert opinion. We reviewed these guidelines to identify consensus (or lack thereof) on the nature of these recommendations, the strength of the recommendations, and the level of evidence.

Methods: Ovid, PubMed, Web of Science, Cochrane Library, and Embase were searched in October 2018 using the MESH term diabetic foot, the key word diabetic foot, and the filters guideline or practice guideline.

SES and correlated factors do not explain the association between periodontal disease, edentulism, and cancer risk.

Purpose: Severe periodontal disease and edentulism have been previously reported to be significantly associated with cancer risk and mortality, including in the Atherosclerosis Risk in Communities study (2018); however, complex sources of confounding by socioeconomic status (SES), and characteristics correlated with SES, could have been present in earlier analyses.

Methods: To capture life course SES and its correlates, we generated a propensity score and included it, along with other potential confounders such as smoking and obesity, into a Cox regression model to examine the association between periodontal disease and cancer risk. In addition, we stratified the model with the propensity score by low and high SES.

Cell force-mediated matrix reorganization underlies multicellular network assembly.

Vasculogenesis is the de novo formation of a vascular network from individual endothelial progenitor cells occurring during embryonic development, organogenesis, and adult neovascularization. Vasculogenesis can be mimicked and studied in vitro using network formation assays, in which endothelial cells (ECs) spontaneously form capillary-like structures when seeded in the appropriate microenvironment. While the biochemical regulators of network formation have been well studied using these assays, the role of mechanical and topographical properties of the extracellular matrix (ECM) is less understood.