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相关概念视频

Drug Discovery: Overview01:26

Drug Discovery: Overview

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Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
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Issues And Trends In Healthcare Delivery System01:29

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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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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.
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Drug Administration and Therapy Phases: Overview01:26

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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.
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Preclinical Development: Overview01:28

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Preclinical development consists of a series of tests that ensure the safety and efficacy of a new therapeutic compound before it is tested in humans. There are four main phases to this process. First, safety pharmacology tests are conducted to ensure the drug does not produce any acutely harmful effects. These tests examine parameters such as bronchoconstriction, cardiac dysrhythmias, blood pressure changes, and ataxia. Next, preliminary toxicological testing is performed to determine the...
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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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人工智能革命药物开发:探索机遇和挑战

Prafulla C Tiwari1, Rishi Pal1, Manju J Chaudhary2

  • 1Department of Pharmacology and Therapeutics, King George's Medical University, Lucknow, Uttar Pradesh, India.

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概括

人工智能 (AI) 通过快速选化合物和预测疗效,加速药物发现. 挑战包括数据质量,模型可解释性和AI在医学中的伦理考虑.

关键词:
人工智能的人工智能是人工智能.发现药物的发现.药物重用是为了改变药物的用途.

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科学领域:

  • 计算化学是一种计算化学.
  • 药理学 药理学是指药理学的学科.
  • 生物技术是生物技术.

背景情况:

  • 传统的药物发现是漫长的,昂贵的,并且失败率很高.
  • 现有的方法与生物系统的复杂性和广的化学空间作斗争.
  • 需要创新的方法来提高治疗开发的效率和成功率.

研究的目的:

  • 审查人工智能 (AI) 和机器学习 (ML) 在药物发现中的变革潜力.
  • 突出AI在加速化合物查和预测药物特性方面的能力.
  • 检查与在药物开发管道中实施AI相关的挑战.

主要方法:

  • 关于AI在药物发现中的应用现有文献的综述.
  • 分析AI在复合图书馆选和预测建模中的作用.
  • 讨论数据要求,模型可解释性和人工智能部署的伦理考虑.

主要成果:

  • 人工智能显著提高了识别潜在药物候选者的速度和效率.
  • 人工智能算法可以预测化合物的有效性和安全性,减少对广泛测试的需求.
  • 人工智能集成有望简化药物开发过程,提高临床试验成功率.

结论:

  • 人工智能提供了一个强大的工具包,可以克服传统药物开发的局限性.
  • 解决数据采集,可解释性和伦理方面的挑战对于成功采用人工智能至关重要.
  • 人工智能有可能开启一个更有效,更安全的治疗时代.