Latest AI and machine learning research in prescriptions for healthcare professionals.
Owing to the innate noise in the biological data sources, a single source or a single measure do not suffice for an effective disease gene prioritization. So, the integration of multiple data sources or aggregation of multiple measures is the need of the hour. The aggregation operators combine multiple related data values to a single value such that the combined value has the effect of all the ind...
System-level understanding of the relationships between drugs and targets is very important for enhancing drug research, especially for drug function repositioning. The experimental methods used to determine drug-target interactions are usually time-consuming, tedious and expensive, and sometimes lack reproducibility. Thus, it is highly desired to develop computational methods for efficiently and ...
"A solid ontology-based analysis with a rigorous formal mapping for correctness" is one of the ten reasons why the HL7 standard Fast Healthcare Intero...
Drug-drug interaction (DDI), which is a specific type of adverse drug reaction, occurs when a drug influences the level or activity of another drug. N...
Opioid dependence and overdose is on the rise. One indicator is the increasing trends of prescription buprenorphine use among patient on chronic pain ...
In times of steadily increasing numbers of administered drugs, the detection of adverse drug events (ADEs) is an important aspect of improving patient...
Vitamin D deficiency state is endemic in the Kashmir valley of the Indian subcontinent. Clinicians frequently treat patients with Vitamin D for divers...
The World Health Organization has declared Bangladesh one of 58 countries facing acute Human Resources for Health (HRH) crisis. Artificial intelligenc...
In this research we aim to demonstrate that an ontology-based system can categorize potential drug-drug interaction (PDDI) evidence items into complex...
The aim of this study was to compare the effect of intravitreal diclofenac, a non-steroidal anti-inflammatory drug (NSAID), with that of bevacizumab, ...
Cationic polymeric nanoparticles have great potential for developing drug delivery systems with limited side effects for tumor medication. The goal of...
Guaifenesin, a highly water-soluble active (50 mg/mL), classified as a BCS class I drug. Owing to its poor flowability and compressibility, formulatin...
Co-administration of norfloxacin (NFX) and tinidazole (TNZ) has been used for the treatment of gastrointestinal and urinary tract infections. Concomit...
BACKGROUND: Arterial stiffness is associated with increased risk for cardiovascular disease. The purpose of this study is to investigate the arterial ...
The digital revolution has contributed to very large data sets (ie, big data) relevant for public health. The two major data sources are electronic he...
This is a study based on hospital intensive monitoring to explore medication use of Diemailing Kudiezi injection(one Chinese herbal medicine injection...
To understand the medication characteristics of Xingxue@Shuxuening solutions in the real world, multi-center, large-sample-size registration design me...
A disulfide bond containing deoxycholic acid-grafted dextran (Dex-SSDCA) was successfully prepared for drug delivery. The Dex-SSDCA polymers can self-...
Spikes in Lamotrigine concentrations levels and associated clinical toxicity may occur unpredictably. This study describes the development and validat...
To analyze the clinical application of Cervus and Cucumis Polypeptide injection in the real world, in order to define the characteristics of clinical ...