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相关概念视频

Drug Regulation01:25

Drug Regulation

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Drug regulation encompasses the management of drug usage by evaluating its safety and efficacy through assessments conducted by regulatory authorities. Regrettably, the history of drug regulation is marred by several catastrophic events. One such incident is the Elixir Sulfanilamide tragedy, in which the toxic compound diethyl glycol was included in a sweet-tasting medication, leading to numerous fatalities. This event prompted the enactment of the Food, Drug, and Cosmetic Act in 1938. Under...
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Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
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Synthetic Biology02:55

Synthetic Biology

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Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
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Drug Control Governance: Regulatory Bodies and Their Impact01:03

Drug Control Governance: Regulatory Bodies and Their Impact

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Drug control governance involves the oversight and regulation of pharmaceuticals to ensure their safety and efficacy while preventing illegal drug use and trafficking. Regulatory bodies, including the US Food and Drug Administration (FDA) and the European Union's European Medicines Agency (EMA), play a central role in this process. These agencies evaluate the safety and efficacy of drugs before they can be marketed. They fund clinical trials and assess the benefits and risks associated with...
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Clinical Trials: Overview01:11

Clinical Trials: Overview

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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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Clinical Trials01:16

Clinical Trials

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Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
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相关实验视频

Updated: May 16, 2025

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
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医疗保健和药物开发中的合成数据:定义,监管框架,问题

Giuseppe Pasculli1, Marco Virgolin2, Puja Myles3

  • 1InSilicoTrials Technologies S.p.A., Trieste, Italy.

CPT: pharmacometrics & systems pharmacology
|April 7, 2025
PubMed
概括

"合成"一词在临床研究中含糊地用于观察和人工数据. 本次审查澄清了真实/观察数据和人工数据之间的区别,以提高监管清晰度和医疗科学的进步.

关键词:
药物开发是药物的发展.外部控制臂是指外部控制臂.生成型的人工智能医疗器械 医疗器械 医疗器械现实世界的数据数据.监管框架 监管框架 监管框架综合数据 综合数据

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Last Updated: May 16, 2025

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科学领域:

  • 临床研究方法论临床研究方法论
  • 监管科学是一种监管科学.
  • 医疗保健中的人工智能 (AI)

背景情况:

  • 药物和医疗器械开发中人工智能的监管框架不断发展,需要明确的数据定义.
  • "合成"一词的模两可的使用使得观察数据和人工智能生成数据之间的区别变得复杂.
  • 对当前文献和监管讨论的批判性评估突出了这一定义挑战.

研究的目的:

  • 阐明临床研究中观察 (真实/真实) 数据和人工 (人工智能生成) 数据之间的区别.
  • 探索两种数据类型的公用事业,监管立场和未来需求.
  • 评估观察和人工数据在推动医学科学和治疗发展方面的潜力.

主要方法:

  • 科学出版物和监管文件的批判文献审查.
  • 分析与数据源相关的术语的当前含糊不清的使用.
  • 对临床试验和人工智能的数据类型的不同观点的评估.

主要成果:

  • 对于"合成"数据,使用含糊不清的术语的证据,指的是观察和人工数据.
  • 确定监管话语和临床研究的关键考虑因素.
  • 识别不同的公用事业和监管挑战观察与人工数据.

结论:

  • 在药物开发和医疗设备中,对人工智能来说,观察数据和人工数据之间的明确区分至关重要.
  • 需要标准化术语和监管清晰度,以利用这两种数据类型的潜力.
  • 需要进一步的研究和监管指导,以优化对观察和人工数据的使用,以促进医学进步.