Prescriptions

Ultrasonic pretreatment of food waste to accelerate enzymatic hydrolysis for glucose production.

Recovering valuable materials from food waste by applying the concept of a bio-refinery is attracting considerable interest. To this effect, we investigated the possibility of enhancing the enzymatic hydrolysis of food waste using ultrasonic technology. The effect of pre-treating blended food waste with high-intensity ultrasound (20 kHz) on subsequent hydrolysis by glucoamylase was investigated as...

Predicting adverse drug reactions through interpretable deep learning framework.

BACKGROUND: Adverse drug reactions (ADRs) are unintended and harmful reactions caused by normal uses of drugs. Predicting and preventing ADRs in the early stage of the drug development pipeline can help to enhance drug safety and reduce financial costs.

Effect of dietary n-3 polyunsaturated fatty acid supplementation and post-insemination plane of nutrition on systemic concentrations of metabolic analytes, progesterone, hepatic gene expression and embryo development and survival in beef heifers.

Nutrition, and particularly dietary energy intake, plays a fundamental role in reproductive function in cattle. There is some evidence that supplement...

Review of water quality criteria for water reuse and risk-based implications for irrigated produce under the FDA Food Safety Modernization Act, produce safety rule.

Questions related to the safety of alternative water sources, such as recycled water or reclaimed water (including grey water, produced water, return ...

Similarity-based machine learning support vector machine predictor of drug-drug interactions with improved accuracies.

WHAT IS KNOWN AND OBJECTIVE: Drug-drug interactions (DDI) are frequent causes of adverse clinical drug reactions. Efforts have been directed at the ea...

Drug discovery and drug marketing with the critical roles of modern administration.

Drug research and development is a long-term and complicated process with the involvement of multidisciplinary, multi-sector cooperation and regulatio...

UHPLC-MS/MS method for simultaneous determination of carbamazepine and its seven major metabolites in serum of epileptic patients.

Carbamazepine (CBZ) was considered as the drug of choice in the treatment for various forms of epilepsy, yet the non-negligible adverse effects of CBZ...

A hierarchical machine learning classification approach for secondary task identification from observed driving behavior data.

According to NHTSA, more than 3477 people (including 551 non-occupants) were killed and 391,000 were injured due to distraction-related crashes in 201...

ShenShuai II Recipe Attenuates Apoptosis and Renal Fibrosis in Chronic Kidney Disease by Increasing Renal Blood Flow and Improving Oxygen Consumption.

. Hypoxia plays a significant role in the progression of chronic kidney disease (CKD) and renal fibrosis. In China, Chinese herbal medicine has been w...

Predicting drug-target interactions using Lasso with random forest based on evolutionary information and chemical structure.

The identification of drug-target interactions has great significance for pharmaceutical scientific research. Since traditional experimental methods i...

Innovation in Pharmacovigilance: Use of Artificial Intelligence in Adverse Event Case Processing.

Automation of pharmaceutical safety case processing represents a significant opportunity to affect the strongest cost driver for a company's overall p...

Multi-trait, Multi-environment Deep Learning Modeling for Genomic-Enabled Prediction of Plant Traits.

Multi-trait and multi-environment data are common in animal and plant breeding programs. However, what is lacking are more powerful statistical models...

An automated pipeline for analyzing medication event reports in clinical settings.

BACKGROUND: Medication events in clinical settings are significant threats to patient safety. Analyzing and learning from the medication event reports...

Neural network analysis of Chinese herbal medicine prescriptions for patients with colorectal cancer.

Traditional Chinese Medicine (TCM) is an experiential form of medicine with a history dating back thousands of years. The present study aimed to utili...

Finding medication doses in the liteature.

Medication doses, one of the determining factors in medication safety and effectiveness, are present in the literature, but only in free-text form. We...

Disease comorbidity-guided drug repositioning: a case study in schizophrenia.

UNLABELLED: The key to any computational drug repositioning is the availability of relevant data in machine-understandable format. While large amount ...

FABLE: A Semi-Supervised Prescription Information Extraction System.

Prescription information is an important component of electronic health records (EHRs). This information contains detailed medication instructions tha...

Adverse Drug Reaction Predictions Using Stacking Deep Heterogeneous Information Network Embedding Approach.

Inferring potential adverse drug reactions is an important and challenging task for the drug discovery and healthcare industry. Many previous studies ...

Prediction of drug-target interaction by integrating diverse heterogeneous information source with multiple kernel learning and clustering methods.

BACKGROUND: Identification of potential drug-target interaction pairs is very important for pharmaceutical innovation and drug discovery. Numerous mac...

Tox_(R)CNN: Deep learning-based nuclei profiling tool for drug toxicity screening.

Toxicity is an important factor in failed drug development, and its efficient identification and prediction is a major challenge in drug discovery. We...