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Related Concept Videos

Drug Discovery: Overview01:26

Drug Discovery: Overview

Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
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Biostatistics plays a crucial role in understanding and analyzing data in healthcare and biology. Biostatisticians conduct experiments, gather evidence, and draw meaningful conclusions using statistical methods and techniques. Different variables form the foundation of biostatistical analysis, allowing researchers to understand and interpret data effectively. These variables are classified into different types, each serving a specific purpose in statistical analysis.
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Bioequivalence: Overview01:16

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Pharmaceutical equivalents, by definition, are drug products with the same active ingredient in the same quantities, encapsulated in identical dosage forms, and intended for the same administration routes. These pharmaceutical equivalents are deemed bioequivalent if the bioavailability of the active entity in the drug preparations is similar. Moreover, pharmaceutical equivalents demonstrating bioequivalence are also regarded as therapeutically equivalent. This means that when used as directed,...
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Related Experiment Video

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Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

BioTextQuest: a web-based biomedical text mining suite for concept discovery.

Nikolas Papanikolaou1, Evangelos Pafilis, Stavros Nikolaou

  • 1Bioinformatics Research Laboratory, Department of Biological Sciences, University of Cyprus, CY 1678, Nicosia, Cyprus, Greece.

Bioinformatics (Oxford, England)
|October 14, 2011
PubMed
Summary
This summary is machine-generated.

BioTextQuest aids researchers by automatically identifying key terms in scientific articles and annotating them with biological entities. This tool facilitates hypothesis generation through interactive visualizations and customizable analysis parameters.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Text Mining

Background:

  • Scientific literature analysis presents challenges in identifying key concepts and associations.
  • Automated tools are needed to streamline the discovery process within large text corpora.

Purpose of the Study:

  • To introduce BioTextQuest, a novel system for automated discovery and annotation of significant terms in scientific literature.
  • To provide interactive visualization tools for enhanced concept association and hypothesis generation.

Main Methods:

  • Utilizes automated discovery of significant terms within article clusters.
  • Employs Named Entity Recognition (NER) services for structured knowledge annotation.
  • Features tag-cloud-based illustrations and document title lists for comparative analysis.

Main Results:

  • BioTextQuest successfully combines automated term discovery with structured knowledge annotation.
  • Interactive visualizations facilitate simultaneous comparison of terms and documents within clusters.
  • The system supports customization of analysis parameters for tailored biological research.

Conclusions:

  • BioTextQuest offers a user-friendly platform for exploring complex biological information.
  • The tool enhances concept association and hypothesis generation in scientific research.
  • Customizable features allow adaptation to diverse biological research questions.