This article describes a method developed for predicting anticancer/non-anticancer drugs using artificial neural network (ANN). The ANN used in this study is a feed-forward neural network with a standard back-propagation training algorithm. Using 30 'inductive' QSAR descriptors alone, we have been able to achieve 84.28% accuracy for correct separation of compounds with- and without anticancer a...

BACKGROUND Certain amount of anticancer drugs is excreted in the urine of patients receiving anticancer drugs, and urinary scattering including anticancer drugs at excretion has become a route of anticancer drug contamination. Therefore, we developed an active carbon sheet (HD safe sheet-U) that prevented diffusion by adsorbing anticancer drugs including that excreted in urine. The present stud...

Aim: The present study was undertaken to describe the prescribing pattern of medications in ophthalmology department a public hospital Alkharj.
 Methodology: This is cross sectional included collecting data from outpatient pharmacy prescriptions Alkharj. All outpatients who received between beginning July till end December 2018 were study.
 Results: During period, 324 patients that wr...

Artificial Biomolecular Condensates In article number 2104704, Huaimin Wang and co-workers report a general approach for constructing artificial biomolecular condensates of oligopeptide in living cells. The rationally designed aromatic-capped peptides can reversibly form nanofibrous hydrogel with change the conformation morphologies lysosome. formed undergo swelling lysosome, leading to lysosom...

Neuro-nanotechnology [2] is an approach that integrates nanoparticles [3] (or nanostructures) into the field of neuroscience in order to both study the structures and functions of the brain and to treat neurological diseases. These technologies include nanoparticles [3] to deliver drugs across the blood-brain barrier, to monitor electrical signals in the brain, and to induce neural signaling in...