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関連する概念動画

Drug Administration and Therapy Phases: Overview01:26

Drug Administration and Therapy Phases: Overview

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Drugs, the chemical agents used in diagnosing, treating, or preventing diseases, undergo a four-phase process of development: pharmaceutic, pharmacokinetics, pharmacodynamics, and therapeutic.
The pharmaceutical phase focuses on leveraging the physicochemical properties of the drug to design and manufacture an effective product. Variants include orally administered tablets or capsules, topical creams or ointments, and parenteral-delivery solutions or emulsions.
The pharmacokinetic phase...
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Biopharmaceutics and Pharmacokinetics: Overview01:28

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Understanding drugs, drug products, and their performance in pharmaceutical science is pivotal. Drugs, whether simple molecules or complex compounds, are designed to interact with the body's biological systems to diagnose, treat, or prevent diseases. Drug products include various delivery systems such as tablets, capsules, injections, and inhalers. The performance of these drug products is gauged by their ability to deliver the active ingredient to the desired site of action at the...
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Structure-Activity Relationships and Drug Design01:28

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Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
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Pharmacodynamics: Overview and Principles01:21

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Pharmacodynamics is a scientific field that delves into drugs' intricate biochemical, cellular, and physiological effects on the human body. The study of pharmacodynamics helps us understand how drugs interact with the body and elicit various responses.
Most drugs' effects result from their interactions with drug receptors or targets within the body. These interactions trigger specific responses at the cellular or systemic level. Drug receptors can be found on the surfaces of cells or...
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Fundamental Mathematical Principles in Pharmacokinetics: Mathematical Expressions and Units01:19

Fundamental Mathematical Principles in Pharmacokinetics: Mathematical Expressions and Units

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Mathematical principles play a crucial role in pharmacokinetics, providing a framework for understanding and quantifying drug distribution and elimination dynamics in the body. By utilizing mathematical expressions and units, pharmacologists can accurately characterize the behavior of drugs, optimize dosing regimens, and predict therapeutic outcomes.
One significant application of mathematics in pharmacokinetics is the characterization of drug distribution through the volume of distribution...
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Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
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関連する実験動画

Updated: Sep 9, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

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理論から実践へ 薬局におけるAIの評価

Steven M Smoke1, Alice Hou2, Scott D Nelson2

  • 1RWJBarnabas Health, West Orange, NJ, USA.

American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists
|September 1, 2025
PubMed
まとめ

薬剤師は人工知能 (AI) モデルの評価を理解し,患者のケアと薬局の運営を改善する必要があります. このガイドは,薬剤師がAIの研究とメトリックを批判的に評価して 効果的な統合を図るのに役立ちます.

科学分野:

  • 薬局の実践
  • 医療情報学
  • 医療における人工知能

背景:

  • 人工知能 (AI) は医療,特に薬局においてますます重要になってきています.
  • 薬剤師はAIモデルと研究を 効果的に実施するためのスキルが必要です
  • AIの評価を理解することは 薬局におけるその可能性を活用する鍵です

研究 の 目的:

  • AIモデルと研究を評価するためのガイドを薬剤師に提供する.
  • AIの定義,データ,集団,訓練プロセスの批判的評価を強調する.
  • 医療におけるAIの共通性能指標について議論する.

主な方法:

  • 薬局の実践に関連するAIモデル評価の原則のレビュー
  • データの品質と検証を含むAI研究の評価における重要な構成要素の議論
  • AI研究で使用される標準的なパフォーマンスメトリックの説明.

主要な成果:

  • 薬剤師はAIモデルを 基本的な原理を理解することで 効果的に評価することができます
  • 人工知能の研究の批判的評価は 責任ある効果的な技術統合を保証します
  • 人工知能の評価メトリクスの知識は,情報に基づいた意思決定に役立ちます.
キーワード:
アルゴリズムの警戒人工知能生成モデル機械学習モデル評価患者のケア薬局運営薬局の実践予測モデル

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Experimental Quantification of Interactions Between Drug Delivery Systems and Cells In Vitro: A Guide for Preclinical Nanomedicine Evaluation
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関連する実験動画

Last Updated: Sep 9, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

227
Experimental Quantification of Interactions Between Drug Delivery Systems and Cells In Vitro: A Guide for Preclinical Nanomedicine Evaluation
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結論:

  • AIは薬局の実践と患者ケアを 変革する大きな可能性を秘めています
  • 薬剤師にAIの評価能力を与えることは 責任ある実施に不可欠です
  • 人工知能を統合する全体的なアプローチは 患者のケアと運用効率を高めます