Prescriptions

Machine learning workflow to enhance predictions of Adverse Drug Reactions (ADRs) through drug-gene interactions: application to drugs for cutaneous diseases.

Adverse drug reactions (ADRs) pose critical public health issues, affecting over 6% of hospitalized patients. While knowledge of potential drug-drug interactions (DDI) is necessary to prevent ADR, the rapid pace of drug discovery makes it challenging to maintain a strong insight into DDIs. In this study, we present a novel literature-mining framework for enhancing the predictions of DDIs and ADR t...

Multi-Axis Force Sensor for Human-Robot Interaction Sensing in a Rehabilitation Robotic Device.

Human-robot interaction sensing is a compulsory feature in modern robotic systems where direct contact or close collaboration is desired. Rehabilitation and assistive robotics are fields where interaction forces are required for both safety and increased control performance of the device with a more comfortable experience for the user. In order to provide an efficient interaction feedback between ...

Prediction of synergistic anti-cancer drug combinations based on drug target network and drug induced gene expression profiles.

OBJECTIVE: Synergistic drug combinations are promising therapies for cancer treatment. However, effective prediction of synergistic drug combinations ...

Familiarity Detection is an Intrinsic Property of Cortical Microcircuits with Bidirectional Synaptic Plasticity.

Humans instantly recognize a previously seen face as "familiar." To deepen our understanding of familiarity-novelty detection, we simulated biological...

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...

Performance of Machine Learning Algorithms for Qualitative and Quantitative Prediction Drug Blockade of hERG1 channel.

Drug-induced abnormal heart rhythm known as (TdP) is a potential lethal ventricular tachycardia found in many patients. Even newly released anti-arrh...

Fast Recall for Complex-Valued Hopfield Neural Networks with Projection Rules.

Many models of neural networks have been extended to complex-valued neural networks. A complex-valued Hopfield neural network (CHNN) is a complex-valu...

A novel framework for the identification of drug target proteins: Combining stacked auto-encoders with a biased support vector machine.

The identification of drug target proteins (IDTP) plays a critical role in biometrics. The aim of this study was to retrieve potential drug target pro...

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...

Physical human-robot interaction of an active pelvis orthosis: toward ergonomic assessment of wearable robots.

BACKGROUND: In human-centered robotics, exoskeletons are becoming relevant for addressing needs in the healthcare and industrial domains. Owing to the...

Influence of Varying Training Set Composition and Size on Support Vector Machine-Based Prediction of Active Compounds.

Support vector machine (SVM) modeling is one of the most popular machine learning approaches in chemoinformatics and drug design. The influence of tra...

DES-ncRNA: A knowledgebase for exploring information about human micro and long noncoding RNAs based on literature-mining.

Noncoding RNAs (ncRNAs), particularly microRNAs (miRNAs) and long ncRNAs (lncRNAs), are important players in diseases and emerge as novel drug targets...

ZK DrugResist 2.0: A TextMiner to extract semantic relations of drug resistance from PubMed.

Extracting useful knowledge from an unstructured textual data is a challenging task for biologists, since biomedical literature is growing exponential...

Feasibility of spirography features for objective assessment of motor function in Parkinson's disease.

OBJECTIVE: Parkinson's disease (PD) is currently incurable, however proper treatment can ease the symptoms and significantly improve the quality of li...

HRI usability evaluation of interaction modes for a teleoperated agricultural robotic sprayer.

Teleoperation of an agricultural robotic system requires effective and efficient human-robot interaction. This paper investigates the usability of dif...

Drug repositioning based on triangularly balanced structure for tissue-specific diseases in incomplete interactome.

Finding new uses for existing drugs has become a new strategy for decades to treat more patients. Few traditional approaches consider the tissue speci...

How can a recurrent neurodynamic predictive coding model cope with fluctuation in temporal patterns? Robotic experiments on imitative interaction.

The current paper examines how a recurrent neural network (RNN) model using a dynamic predictive coding scheme can cope with fluctuations in temporal ...

Classification of toxicity effects of biotransformed hepatic drugs using whale optimized support vector machines.

Measuring toxicity is an important step in drug development. Nevertheless, the current experimental methods used to estimate the drug toxicity are exp...

Positive-Unlabeled Learning for inferring drug interactions based on heterogeneous attributes.

BACKGROUND: Investigating and understanding drug-drug interactions (DDIs) is important in improving the effectiveness of clinical care. DDIs can occur...

Home detection of freezing of gait using support vector machines through a single waist-worn triaxial accelerometer.

Among Parkinson's disease (PD) symptoms, freezing of gait (FoG) is one of the most debilitating. To assess FoG, current clinical practice mostly emplo...