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Related Concept Videos

Bioequivalence of Drugs: Drugs with Multiple Indications01:09

Bioequivalence of Drugs: Drugs with Multiple Indications

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The concept of therapeutic equivalence (TE) in drugs with multiple indications is complex. A generic drug may be therapeutically equivalent to a brand-name product for one specific indication, but this doesn't necessarily mean it's equivalent for all other indications. Evidence of TE in one patient group and bioequivalence shown in healthy volunteers can support—but not confirm—TE for other indications. However, definitive proof requires individual clinical studies for each...
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Bioequivalence Data: Statistical Interpretation01:16

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Body:The statistical interpretation of bioequivalence data is a significant aspect of pharmaceutical research. Bioequivalence refers to the absence of any significant difference in the rate and extent to which the active ingredient in pharmaceutical products becomes available at the site of drug action when administered at the same molar dose under similar conditions. This helps determine if different drug products have similar absorption rates, ensuring their interchangeability.Statistical...
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In pharmaceutical development, it's crucial to establish a predictive in vitro–in vivo correlation (IVIVC) for two or more formulations to gain a comprehensive understanding of release properties. IVIVC reduces the need for costly in vivo studies and facilitates the establishment of meaningful dissolution specifications with significant cost savings and decreased regulatory burden. Furthermore, a meaningful IVIVC should predict Cmax and AUC within 20%, aligning with FDA guidance while...
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Determination of Renal Drug Clearance: Graphical and Midpoint Methods01:07

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Renal clearance, a crucial parameter in pharmacokinetics, can be determined using two different methods: the graphical method and the midpoint method. These methods provide insights into the rate of drug excretion by the kidneys and aid in assessing renal function.
The graphical method involves plotting the rate of drug excretion in urine against the plasma drug concentration. By analyzing the graph, the clearance can be calculated and obtained. Drugs rapidly excreted by the kidneys exhibit a...
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Combined Effects of Drugs: Antagonism01:30

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The combined effects of drugs can result in various interactions, of which an important type is antagonism. Antagonism is a mechanism where one drug inhibits or counteracts the effects of another drug. Antagonism can occur through various means, including receptor binding, allosteric modulation, functional interaction, chemical reactions, and pharmacokinetic processes.
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Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
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Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
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Published on: December 11, 2016

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Using visual analytics for presenting comparative information on new drugs.

Jean-Baptiste Lamy1, Hélène Berthelot1, Madeleine Favre2

  • 1LIMICS, Université Paris 13, Sorbonne Paris Cité, 93017 Bobigny, France, INSERM UMRS 1142, UPMC Université Paris 6, Sorbonne Universités, Paris, France.

Journal of Biomedical Informatics
|May 28, 2017
PubMed
Summary
This summary is machine-generated.

Visual analytics tools help physicians compare new drugs, aiding informed prescription decisions. This approach facilitates the independent evaluation of drug properties like contraindications and adverse effects.

Keywords:
Drug informationInformation visualizationNew drugsVisual analytics

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Area of Science:

  • Medical Informatics
  • Health Informatics
  • Pharmaceutical Sciences

Background:

  • Physicians face challenges in accessing unbiased information for new drug evaluation.
  • New drug information can be biased or difficult to locate, impacting clinical decision-making.

Purpose of the Study:

  • To investigate the utility of visual analytics for comparing drug properties.
  • To determine if visual drug comparison aids physicians in forming well-founded opinions on new medications.

Main Methods:

  • Developed an ontology for comparative drug information based on physician focus groups.
  • Created a visual drug comparator website prototype featuring novel visualization techniques.
  • Evaluated the website with 22 general practitioners (GPs) across four new drugs.

Main Results:

  • The visual comparator allowed physicians to form well-founded opinions on new drugs.
  • Physicians altered their prescription decisions in 29 out of 88 cases after using the website.
  • The tool enabled visual comparison of multiple drug properties including efficacy and adverse effects.

Conclusions:

  • Visual analytics offers a promising method for presenting and comparing drug information.
  • Visual comparison empowers physicians to independently assess drug properties, enhancing informed practice.
  • This approach can contribute to the independence and reliability of drug information for healthcare professionals.