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Pharmacovigilance01:19

Pharmacovigilance

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Post-marketing surveillance is a critical component of pharmaceutical regulation, often uncovering unanticipated adverse drug reactions (ADRs) once a drug is widely used over an extended period.
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
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Effects of Chemicals: Overview01:27

Effects of Chemicals: Overview

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Drugs, encompassing various chemical compounds from natural sources, lab synthesis, or genetic engineering, elicit different biological responses in living organisms. Some of these responses are desirable or therapeutic, while others are undesirable. The primary goal of administering a drug is to achieve a therapeutic effect, that is, to address a specific disease or health condition. Any concurrent effects outside of this therapeutic outcome are considered undesirable. These undesirable...
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Agonism and Antagonism: Quantification01:14

Agonism and Antagonism: Quantification

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When drugs are administered, they can elicit either an agonist or antagonist effect on the body. Agonism occurs when a drug activates a specific receptor, triggering a biological response. On the other hand, antagonism happens when a drug binds to the same receptors but blocks their activation, thereby preventing a biological response.
To quantify these effects, researchers use a dose-response curve, which provides valuable information about the potency and efficacy of a drug. Potency refers to...
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Pharmacokinetics: Drug–Drug Interactions01:25

Pharmacokinetics: Drug–Drug Interactions

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Drug interactions occur when the pharmacological effect of one drug is altered by another substance, either enhancing or diminishing its activity. The drug whose activity is altered is known as the object drug, and the substance causing the alteration is called the agent drug or the precipitant. The net effects of these interactions are mostly undesirable, leading to decreased effectiveness or increased adverse effects. In rare cases, interactions can be beneficial, such as the enhanced...
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Therapeutic Drug Monitoring: Affecting Factors01:29

Therapeutic Drug Monitoring: Affecting Factors

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Therapeutic Drug Monitoring (TDM) is the clinical practice of measuring specific drug levels in a patient's blood or body tissues to manage and optimize therapy. TDM is crucial for drugs with narrow therapeutic windows, like warfarin and phenytoin, where incorrect doses can lead to treatment failure or severe side effects. This monitoring ensures the dosage administered is within a safe and effective range. The factors affecting therapeutic drug monitoring include:Patient-Specific Factors:a.
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Combined Effects of Drugs: Antagonism01:30

Combined Effects of Drugs: Antagonism

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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.
The most common type is receptor antagonism, where one drug acts as an antagonist to block the effects of another drug by...
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Updated: Jan 8, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Análisis de grafos causales de conocimiento identifica efectos adversos de medicamentos

Sumyyah Toonsi1, Paul N Schofield2, Robert Hoehndorf1,3,4

  • 1Computer, Electrical and Mathematical Sciences & Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955, Saudi Arabia.

Bioinformatics (Oxford, England)
|December 12, 2025
PubMed
Resumen
Este resumen es generado por máquina.

Introducimos los grafos causales de conocimiento (CKG) para combinar grafos de conocimiento biomédico con inferencia causal. Este enfoque identificó con éxito efectos adversos de fármacos conocidos y novedosos, mejorando la predicción de indicaciones de fármacos.

Palabras clave:
grafos causales de conocimientoinferencia causalefectos adversos de fármacosdescubrimiento de fármacosrepresentación del conocimiento

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Área de la Ciencia:

  • Informática Biomédica
  • Inferencia Causal
  • Representación del Conocimiento

Sus antecedentes:

  • Los grafos de conocimiento biomédico y los modelos causales son valiosos pero están desconectados.
  • Los grafos de conocimiento carecen de semántica probabilística; los modelos causales carecen de integración de conocimiento de fondo.

Objetivo del estudio:

  • Aprovechar el poder de los grafos de conocimiento para la inferencia causal.
  • Desarrollar grafos causales de conocimiento (CKG) para la inferencia causal y la formulación de hipótesis basadas en principios.

Principales métodos:

  • Se extendieron los grafos de conocimiento con semántica causal formal, creando grafos causales de conocimiento (CKG).
  • Se construyó un CKG de Fármaco-Enfermedad (DD-CKG) que integra vías de enfermedades, indicaciones de fármacos y efectos secundarios.
  • Se aplicó el DD-CKG a UK Biobank y MIMIC-IV para el análisis de mediación a gran escala de los efectos de los fármacos.

Principales resultados:

  • Los CKG permitieron la eliminación de confusiones y la formulación de hipótesis utilizando el conocimiento de fondo.
  • Se reprodujeron con éxito las reacciones adversas a los medicamentos conocidas y se identificaron nuevos efectos candidatos.
  • Se mejoró la predicción de indicaciones compartidas de fármacos al combinar los efectos predichos con bases de datos existentes.

Conclusiones:

  • Los CKG proporcionan un marco generalizable y dirigido por el conocimiento para la inferencia causal escalable.
  • La metodología demuestra relevancia clínica y apoya el análisis de mediación automatizado a gran escala.
  • Este enfoque mejora la comprensión de los efectos de los fármacos y la progresión de la enfermedad.