Related Experiment Video

Updated: Aug 11, 2026

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
05:10

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System

Published on: December 11, 2016

Proposed drug-drug cost effectiveness methodology

J P Gagnon, J T Osterhaus

    Drug Intelligence & Clinical Pharmacy
    |February 1, 1987
    PubMed

    More Related Videos

    Diagonal Method to Measure Synergy Among Any Number of Drugs12:08

    Diagonal Method to Measure Synergy Among Any Number of Drugs

    Published on: June 21, 2018

    Cost-Efficient Transcriptomic-Based Drug Screening06:40

    Cost-Efficient Transcriptomic-Based Drug Screening

    Published on: February 23, 2024

    Related Concept Videos

    Measurement of Bioavailability: Pharmacodynamic Methods01:20

    Measurement of Bioavailability: Pharmacodynamic Methods

    Pharmacodynamic methods provide insights into a drug's effects on physiological processes over time and play a crucial role in understanding bioavailability and therapeutic efficacy. These methods can be broadly classified into acute pharmacological and therapeutic response approaches, each with distinct mechanisms and applications.The acute pharmacological response method directly correlates a drug's physiological effects, such as ECG or pupil diameter changes, to its time course in the body.
    Therapeutic Drug Monitoring: Drug Analysis Methods01:26

    Therapeutic Drug Monitoring: Drug Analysis Methods

    Therapeutic Drug Monitoring (TDM) is a clinical practice that measures specific drug levels in a patient's blood or body tissues to tailor drug therapy effectively. This monitoring is critical for managing drugs with narrow therapeutic indices like digoxin and phenytoin, ensuring they are both safe and effective. For instance, monitoring theophylline levels in asthma patients involves precision and sensitivity to adjust doses according to individual responses to therapy, ensuring efficacy and...
    Pharmacokinetic–Pharmacodynamic Relationship: Problems01:24

    Pharmacokinetic–Pharmacodynamic Relationship: Problems

    The empirical approach to drug therapy optimization relies on correlating pharmacological response with administered dosage. Such an approach can be costly, time-consuming, and often yields poor correlation due to variables like formulation factors and drug elimination characteristics. A more precise approach correlates response with plasma drug concentration or the amount of drug in the body, rather than dosage. This is achieved through pharmacokinetic-pharmacodynamic (PK/PD) modeling, which...
    Pharmacodynamic Models: Linear Concentration–Effect Model01:15

    Pharmacodynamic Models: Linear Concentration–Effect Model

    The linear concentration–effect model, underpinned by the principle that pharmacological effect (E) is directly proportional to plasma drug concentration (C), emerges as a pivotal simplification of the Emax model for conditions where C is significantly less than EC50. This model portrays a linear trajectory of the concentration–effect relationship when drug levels are markedly below the EC50 threshold.Despite its inherent assumption of continuous effect augmentation with increasing drug...
    Pharmacodynamic Models: Additive and Proportional Drug Effect Model01:09

    Pharmacodynamic Models: Additive and Proportional Drug Effect Model

    Drug response models describe how pharmacological agents interact with biological systems to produce measurable effects. Baseline responses are inherent physiological activities without a drug significantly influencing the observed pharmacological outcomes. Depending on the drug response model employed, these baseline responses may combine with the drug's effect in either an additive or proportional manner.Additive Drug Response ModelIn the additive model, the drug effect is independent of the...
    Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions01:15

    Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions

    PK–PD modeling has significantly influenced FDA regulatory decisions, particularly drug approval, dosage optimization, and labeling. These models integrate pharmacokinetics (PK) and pharmacodynamics (PD) to predict drug behavior and effects, aiding in optimizing dosing regimens and enhancing the probability of clinical trial success.One notable example is Nesiritide (Natrecor®), a recombinant human brain natriuretic peptide for treating acute decompensated congestive heart failure (CHF).