FDA General

UPLC-MS/MS method for the simultaneous quantification of sofosbuvir, sofosbuvir metabolite (GS-331007) and daclatasvir in plasma of HIV/HCV co-infected patients.

Direct-acting antiviral agents (DAAs) represent the major advance in hepatitis C virus (HCV) infection treatment leading to extremely high eradication rates in HCV mono- and HIV/HCV co-infected patients. In this scenery, availability of Therapeutic Drug Monitoring (TDM) is of interest to assess plasma concentrations to prevent either therapeutic failure due to suboptimal medication adherence and d...

Development of Decision Forest Models for Prediction of Drug-Induced Liver Injury in Humans Using A Large Set of FDA-approved Drugs.

Drug-induced liver injury (DILI) presents a significant challenge to drug development and regulatory science. The FDA's Liver Toxicity Knowledge Base (LTKB) evaluated >1000 drugs for their likelihood of causing DILI in humans, of which >700 drugs were classified into three categories (most-DILI, less-DILI, and no-DILI). Based on this dataset, we developed and compared 2-class and 3-class DILI pred...

Surveillance of iclaprim activity: In vitro susceptibility of gram-positive pathogens collected from 2012 to 2014 from the United States, Asia Pacific, Latin American and Europe.

Iclaprim is a diaminopyrimidine, which inhibits bacterial dihydrofolate reductase, and it is highly active against Gram-positive pathogens including e...

Mechanism of NF-κB signaling pathway and autophagy in the regulation of osteoblast differentiation.

OBJECTIVE: The objective of the present work was to investigate a possible mechanism of NF-κB signaling pathway and autophagy in the regulation of ost...

Effect of abiotic and biotic stress factors analysis using machine learning methods in zebrafish.

In order to understand the mechanisms underlying stress responses, meta-analysis of transcriptome is made to identify differentially expressed genes (...

Multi-task transfer learning deep convolutional neural network: application to computer-aided diagnosis of breast cancer on mammograms.

Transfer learning in deep convolutional neural networks (DCNNs) is an important step in its application to medical imaging tasks. We propose a multi-t...

Physical Compatibility of Micafungin With Sodium Bicarbonate Hydration Fluids Commonly Used With High-Dose Methotrexate Chemotherapy.

The purpose of this study was to determine the physical compatibility of micafungin with commonly used concentrations of sodium bicarbonate hydration...

Stability of azasetron-dexamethasone mixture for chemotherapy-induced nausea and vomiting administration.

Combination antiemetic therapy has become common practice for the prevention of nausea and vomiting caused by anticancer drugs. In this study, we inve...

Search for an Appropriate Behavior within the Emotional Regulation in Virtual Creatures Using a Learning Classifier System.

Emotion regulation is a process by which human beings control emotional behaviors. From neuroscientific evidence, this mechanism is the product of con...

The Liver Toxicity Knowledge Base (LKTB) and drug-induced liver injury (DILI) classification for assessment of human liver injury.

Drug-induced liver injury (DILI) is challenging for drug development, clinical practice and regulation. The Liver Toxicity Knowledge Base (LTKB) provi...

Development of A Machine Learning Algorithm to Classify Drugs Of Unknown Fetal Effect.

Many drugs commonly prescribed during pregnancy lack a fetal safety recommendation - called FDA 'category C' drugs. This study aims to classify these ...

Radiomics in Brain Tumor: Image Assessment, Quantitative Feature Descriptors, and Machine-Learning Approaches.

Radiomics describes a broad set of computational methods that extract quantitative features from radiographic images. The resulting features can be us...

Effect of combined farnesoid X receptor agonist and angiotensin II type 1 receptor blocker on hepatic fibrosis.

The farnesoid X receptor (FXR) agonist, a bile acid-activated nuclear receptor, has been shown to improve the histologic features of nonalcoholic stea...

Knowledge Representation and Management, It's Time to Integrate!

To select, present, and summarize the best papers published in 2016 in the field of Knowledge Representation and Management (KRM). A comprehensive a...

A support vector machine classifier for the prediction of osteosarcoma metastasis with high accuracy.

In this study, gene expression profiles of osteosarcoma (OS) were analyzed to identify critical genes associated with metastasis. Five gene expression...

Please Don't Move-Evaluating Motion Artifact From Peripheral Quantitative Computed Tomography Scans Using Textural Features.

Most imaging methods, including peripheral quantitative computed tomography (pQCT), are susceptible to motion artifacts particularly in fidgety pediat...

Extended-release calcifediol for secondary hyperparathyroidism in stage 3-4 chronic kidney disease.

Extended-release calcifediol (ERC) 30 µg capsules were recently approved as Rayaldee® by the United States Food and Drug Administration (FDA) for the ...

Automated Critical Test Findings Identification and Online Notification System Using Artificial Intelligence in Imaging.

Purpose To evaluate the performance of an artificial intelligence (AI) tool using a deep learning algorithm for detecting hemorrhage, mass effect, or ...

Drug Target Prediction by Multi-View Low Rank Embedding.

Drug repositioning has been a key problem in drug development, and heterogeneous data sources are used to predict drug-target interactions by differen...

Neuromorphic device architectures with global connectivity through electrolyte gating.

Information processing in the brain takes place in a network of neurons that are connected with each other by an immense number of synapses. At the sa...