Hood Kelleher (prosehot7)

These results deepen our understanding of the mechanism of RDR1 in plant defence responses to viroid attack. Efficiently identifying eligible patients is a crucial first step for a successful clinical trial. The objective of this study was to test whether an approach using electronic health record (EHR) data and an ensemble machine learning algorithm incorporating billing codes and data from clinical notes processed by natural language processing (NLP) can improve the efficiency of eligibility screening. We studied patients screened for a clinical trial of rheumatoid arthritis (RA) with one or more International Classification of Diseases (ICD) code for RA and age greater than 35 years, from a tertiary care center and a community hospital. The following three groups of EHR features were considered for the algorithm 1) structured features, 2) the counts of NLP concepts from notes, 3) health care utilization. All features were linked to dates. We applied random forest and logistic regression with least absolute shrinkage and selection operator penalty against the following two standard approaches 1) one or more RAapplied at another for multicenter clinical trials. The ensemble machine learning algorithm incorporating billing codes and NLP data increased the efficiency of eligibility screening by reducing the number of patients requiring chart review while not excluding eligible patients. Moreover, this approach can be trained at one institution and applied at another for multicenter clinical trials.The combination of gene therapy and chemotherapy provides a We developed a simple and versatile approach to prepare a series of two-in-one nanodrugs through direct self-assembly of cyanine-labeled single-stranded DNA (Cys-DNA) and different types of drug molecules. Molecular dynamics simulation showed that the Cys introduced into the DNA could enhance the noncovalent interaction between Cys-DNA and drug molecules. More drug molecules were incorporated into Cys-DNA, tending to spontaneously form hybrid Cys-DNA/drug nanosphere. Such nanospheres serve as both carriers and cargoes, excluding the extra use of nontherapeutic excipients and showing ultrahigh drug loading capacity. Following this approach, an antisense oligonucleotides/doxorubicin nanodrug model was constructed, demonstrating the significant synergistic anti-tumor therapeutic effect. As a proof of the concept, our study establishes a simple and reproducible two-in-one nucleic acid-based drug formulation. Intravoxel incoherent motion (IVIM) tensor imaging is a promising technique for diagnosis and monitoring of cardiovascular diseases. Knowledge about measurement repeatability, however, remains limited. To evaluate short-term repeatability of IVIM tensor imaging in normal in vivo human hearts. Prospective. Ten healthy subjects without history of heart diseases. Balanced steady-state free-precession cine sequence and single-shot spin-echo echo planar IVIM tensor imaging sequence (9 b-values, 0-400 seconds/mm and six diffusion-encoding directions) at 3.0 T. Subjects were scanned twice with an interval of 15 minutes, leaving the scanner between studies. The signal-to-noise ratio (SNR) was evaluated in anterior, lateral, septal, and inferior segments of the left ventricle wall. Fractional anisotropy (FA), mean diffusivity (MD), mean fraction (MF), and helix angle (HA) in the four segments were independently measured by five radiologists. IVIM tensor indexes were compared between observers using a o but further efforts were needed to improve repeatability of D indexes. 2 TECHNICAL EFFICACY Stage 1. 2 TECHNICAL EFFICACY Stage 1. In older adults facing knee arthroplasty, the ability to resume downhill skiing postoperatively is unclear. This study aimed to determine the perspectives of Alberta orthopedic surgeons and senior residents regarding downh