Deep convolution neural network for screening carotid calcification in dental panoramic radiographs.

Ischemic stroke, a leading global cause of death and disability, is commonly caused by carotid arteries atherosclerosis. Carotid artery calcification (CAC) is a well-known marker of atherosclerosis. Such calcifications are classically detected by ultrasound screening.

Reply to van der Pluijm et al. Comment on "Weitzman et al. Resistance to Antimalarial Monotherapy Is Cyclic. 2022, , 781".

Thank you for the opportunity to respond to comments gracefully raised by van der Pluijm et al. [..

Resistance to Antimalarial Monotherapy Is Cyclic.

Malaria is a prevalent parasitic disease that is estimated to kill between one and two million people-mostly children-every year. Here, we query PubMed for malaria drug resistance and plot the yearly citations of 14 common antimalarials. Remarkably, most antimalarial drugs display cyclic resistance patterns, rising and falling over four decades.

Machine learning vs. classic statistics for the prediction of IVF outcomes.

Purpose: To assess whether machine learning methods provide advantage over classic statistical modeling for the prediction of IVF outcomes.

Methods: The study population consisted of 136 women undergoing a fresh IVF cycle from January 2014 to August 2016 at a tertiary, university-affiliated medical center. We tested the ability of two machine learning algorithms, support vector machine (SVM) and artificial neural network (NN), vs.

A hybrid model for evaluating exposure of the general population in Israel to air pollutants.

Exposure to air pollution is associated with a wide range of health effects, including increased respiratory symptoms, cancer, reproductive and birth defects, and premature death. Air quality measurements by standardized measuring equipment, although accurate, can only provide an estimate for part of the population, with decreasing accuracy further away from the monitoring sites. Estimating pollution levels over large geographical domains requires the use of air quality models which ideally incorporate air quality measurements.

CDB-a database for protein heterodimeric complexes.

Crystallographic structures of protein complexes are essential to develop proteomic and structural biology methods, as prediction of protein-protein interaction (PPI) sites and protein-protein docking. Such structures can aid the development of protein complexation inhibitors. Complex DataBase (CDB), accessible at www.

Phosphate-binding protein from Polaromonas JS666: purification, characterization, crystallization and sulfur SAD phasing.

Phosphate-binding proteins (PBPs) are key proteins that belong to the bacterial ABC-type phosphate transporters. PBPs are periplasmic (or membrane-anchored) proteins that capture phosphate anions from the environment and release them to the transmembrane transporter. Recent work has suggested that PBPs have evolved for high affinity as well as high selectivity.

Hydrolysis of organophosphate compounds by mutant butyrylcholinesterase: a story of two histidines.

This study is aimed at understanding the hydrolysis mechanism of organophosphate (OP) compounds by G117H-BChE. It is a theoretical study that focuses on the role of the G117H mutation in the dephosphorylation step. Various proposed mechanisms are examined.

The structure of G117H mutant of butyrylcholinesterase: nerve agents scavenger.

Organophosphate ester (OP) compounds are known for their ubiquitous use as insecticides. At the same time, these chemicals are highly toxic and can be used as nerve agents. G117H mutant of human Butyrylcholinesterase (BChE) was found to be capable of hydrolyzing certain OPs and protect against their toxicity.