Infectious Disease

QSAR studies of the bioactivity of hepatitis C virus (HCV) NS3/4A protease inhibitors by multiple linear regression (MLR) and support vector machine (SVM).

In this study, quantitative structure-activity relationship (QSAR) models using various descriptor sets and training/test set selection methods were explored to predict the bioactivity of hepatitis C virus (HCV) NS3/4A protease inhibitors by using a multiple linear regression (MLR) and a support vector machine (SVM) method. 512 HCV NS3/4A protease inhibitors and their IC values which were determin...

Auditory prediction errors as individual biomarkers of schizophrenia.

Schizophrenia is a complex psychiatric disorder, typically diagnosed through symptomatic evidence collected through patient interview. We aim to develop an objective biologically-based computational tool which aids diagnosis and relies on accessible imaging technologies such as electroencephalography (EEG). To achieve this, we used machine learning techniques and a combination of paradigms designe...

Novel Imidazo[4,5-c][1,2,6]thiadiazine 2,2-dioxides as antiproliferative trypanosoma cruzi drugs: Computational screening from neural network, synthesis and in vivo biological properties.

A new family of imidazo[4,5-c][1,2,6]thiadiazine 2,2-dioxide with antiproliferative Trypanosoma cruzi properties was identified from a neural network ...

Disseminated cutaneous histoplasmosis with laryngeal involvement in a setting of immune reconstitution inflammatory syndrome.

INTRODUCTION: Histoplasmosis is a systemic mycosis caused by the dimorphic fungus . We report a case of disseminated cutaneous histoplasmosis with muc...

Ascertainment of pharmacological activities of Hook and Roxb used in Bangladesh: An in vitro study.

The present study was cherished to investigate in vitro thrombolytic, membrane stabilizing and antibacterial activities of and . Different types meth...

Model-enabled gene search (MEGS) allows fast and direct discovery of enzymatic and transport gene functions in the marine bacterium .

Whereas genomes can be rapidly sequenced, the functions of many genes are incompletely or erroneously annotated because of a lack of experimental evid...

Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks.

Purpose To evaluate the efficacy of deep convolutional neural networks (DCNNs) for detecting tuberculosis (TB) on chest radiographs. Materials and Met...

Sofosbuvir-based regimens for the treatment of chronic hepatitis C in severe renal dysfunction.

Sofosbuvir (SOF) is a nonstructural 5B polymerase inhibitor with activity in all hepatitis C virus (HCV) genotypes and is the backbone of many anti-HC...

Hepatitis B reactivation in psoriasis patients treated with anti-TNF agents: prevention and management.

The risk of hepatitis B virus (HBV) reactivation (HBVr) in chronic HBV carriers, in occult HBV patients or in acute HBV patients affected by psoriasis...

Orthosiphon pallidus, a Potential Treatment for Patients with Breast Cancer.

OBJECTIVE: , which belongs to the family, is a popular garden plant that is widely used for the treatment of various diseases, such as urinary lithia...

Potential of RP-UHPLC-DAD-MS for the qualitative and quantitative analysis of sofosbuvir in film coated tablets and profiling degradants.

Sofosbuvir is one of the new direct-acting antiviral drugs against hepatitis C virus (HCV) infection. This drug has recently been launched into the ma...

Differential transcriptome analysis supports Rhodnius montenegrensis and Rhodnius robustus (Hemiptera, Reduviidae, Triatominae) as distinct species.

Chagas disease is one of the main parasitic diseases found in Latin America and it is estimated that between six and seven million people are infected...

The way to cover prediction for cytotoxicity for all existing nano-sized metal oxides by using neural network method.

The regulatory agencies should fulfil the data gap in toxicity for new chemicals including nano-sized compounds, like metal oxides nanoparticles (MeO ...

A machine learning approach for viral genome classification.

BACKGROUND: Advances in cloning and sequencing technology are yielding a massive number of viral genomes. The classification and annotation of these g...

Physicochemical stability of voriconazole in elastomeric devices.

OBJECTIVES: Voriconazole is the drug of choice for invasive aspergillosis (IA), a leading cause of mortality and morbidity in immunocompromised patien...

A sensitive species-specific reverse transcription real-time PCR method for detection of and .

As the global burden of malaria decreases and countries strive towards disease elimination, there is a greater demand for sensitive diagnostics to tar...

Sensitive detection of rare disease-associated cell subsets via representation learning.

Rare cell populations play a pivotal role in the initiation and progression of diseases such as cancer. However, the identification of such subpopulat...

An improved method for identification of small non-coding RNAs in bacteria using support vector machine.

Bacterial small non-coding RNAs (sRNAs) are not translated into proteins, but act as functional RNAs. They are involved in diverse biological processe...

Creating an automated trigger for sepsis clinical decision support at emergency department triage using machine learning.

OBJECTIVE: To demonstrate the incremental benefit of using free text data in addition to vital sign and demographic data to identify patients with sus...

Comparison of Machine Learning Approaches for Prediction of Advanced Liver Fibrosis in Chronic Hepatitis C Patients.

BACKGROUND/AIM: Using machine learning approaches as non-invasive methods have been used recently as an alternative method in staging chronic liver di...