Prescriptions

Applications of Machine Learning Methods in Drug Toxicity Prediction.

Toxicity evaluation is an important part of the preclinical safety assessment of new drugs, which is directly related to human health and the fate of drugs. It is of importance to study how to evaluate drug toxicity accurately and economically. The traditional in vitro and in vivo toxicity tests are laborious, time-consuming, highly expensive, and even involve animal welfare issues. Computational ...

Harnessing Ontologies to Improve Prescription in Pediatric Medicine.

There are many drug databases, but sometimes the data quality may result in wrong medication for patients. Results that it is very important to provide a good quality drug information, supply structured information and build useful relations between the drugs related information and the patient status in terms of particularities. Children are the most sensitive to drug dosage or certain substances...

Machine-Learning Prediction of Drug-Induced Cardiac Arrhythmia: Analysis of Gene Expression and Clustering.

A marked delay in the electrical repolarization of heart ventricles is characterized by prolongation of the Q-T wave (QT) interval on a surface electr...

Technical Note: A new device for cervical insemination of sheep - design and field test.

Deep semen deposition, avoiding retrograde flow, lesions and stress, has proved to be very important in the success of sheep AI. The objective of the ...

[Alpinetin promotes the binding of PPAR and methyltransferase].

Objective To screen the nucleus located-methyltransferase in murine macrophages (RAW246.7 cells) after peroxisome proliferator-activated receptors (PP...

Natural Language Processing for EHR-Based Pharmacovigilance: A Structured Review.

The goal of pharmacovigilance is to detect, monitor, characterize and prevent adverse drug events (ADEs) with pharmaceutical products. This article is...

Enhancing Risk Assessment in Patients Receiving Chronic Opioid Analgesic Therapy Using Natural Language Processing.

OBJECTIVES: Clinical guidelines for the use of opioids in chronic noncancer pain recommend assessing risk for aberrant drug-related behaviors prior to...

Computational health economics for identification of unprofitable health care enrollees.

Health insurers may attempt to design their health plans to attract profitable enrollees while deterring unprofitable ones. Such insurers would not be...

Development of an automated assessment tool for MedWatch reports in the FDA adverse event reporting system.

OBJECTIVE: As the US Food and Drug Administration (FDA) receives over a million adverse event reports associated with medication use every year, a sys...

Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts.

OBJECTIVE: Social media is an important pharmacovigilance data source for adverse drug reaction (ADR) identification. Human review of social media dat...

The effect of haptic interaction between balance assessment robot and pelvis on muscle activation of leg muscles.

Admittance control is considered as a promising paradigm in rehabilitation that provides us with means to establish well controlled and adjustable int...

Towards human-knee orthosis interaction based on adaptive impedance control through stiffness adjustment.

Rehabilitation interventions involving powered, wearable lower limb orthoses that can provide high-challenging locomotor tasks for repetitive training...

Effect of human-robot interaction on muscular synergies on healthy people and post-stroke chronic patients.

Robot-assisted training is a widely used technique to promote motor re-learning on post-stroke patients that suffer from motor impairment. While it is...

Interaction force and motion estimators facilitating impedance control of the upper limb rehabilitation robot.

In order to enhance the performance of rehabilitation robots, it is imperative to know both force and motion caused by the interaction between user an...

Soft brain-machine interfaces for assistive robotics: A novel control approach.

Robotic systems offer the possibility of improving the life quality of people with severe motor disabilities, enhancing the individual's degree of ind...

Towards quantifying dynamic human-human physical interactions for robot assisted stroke therapy.

Human-Robot Interaction is a prominent field of robotics today. Knowledge of human-human physical interaction can prove vital in creating dynamic phys...

Ensemble of convolutional neural networks for classification of breast microcalcification from mammograms.

Human level recall performance in detecting breast cancer considering microcalcifications from mammograms has a recall value between 74.5% and 92.3%. ...

THE ESTROGENS / CHROMIUM INTERACTION IN THE NITRIC OXIDE GENERATION.

The interaction of estrogens with environmental toxins in free radicals generation: reactive oxygen species (ROS) or reactive nitrogen species (RNS) w...

PHARMACOKINETICS AND BIOEQUIVALENCE STUDIES OF TWO NIMESULIDE 100 mg TABLETS: UNIT DOSE, RANDOMIZED-SEQUENCE, TWO-WAY CROSSOVER STUDY IN HEALTHY VOLUNTEERS OF PAKISTANI POPULATION.

Single centered crossover, two cycles volunteer study was performed on 12 healthy male volunteers. Both reference and test, immediate release nimesuli...

ACTIVITY OF BLACKCURRANT AND CHOKEBERRY EXTRACTS AND TWO MAJOR CYANIDIN GLYCOSIDES AGAINST LIPID MEMBRANE OXIDATION AND THEIR BINDING PROPERTIES TO ALBUMIN.

The purpose of this study was to explain how extracts from chokeberry and blackcurrant interact with the lipid phase of biological membrane and with h...