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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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Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

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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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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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Preclinical Development: Overview01:28

Preclinical Development: Overview

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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 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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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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Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
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以人工智能为驱动的方法,以患者为中心的药物开发.

Prathamesh Karmalkar1, Harsha Gurulingappa1, Erica Spies2

  • 1Merck Data & AI Organization, Merck IT Centre, Merck Group, Bangalore, India.

Frontiers in artificial intelligence
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PubMed
概括

利用人工智能和文本分析来利用社交媒体数据,为制药研究和开发提供了宝贵的患者见解. 这种方法有助于了解患者的需求,期望和针对药物开发的未满足需求.

关键词:
人工智能的人工智能是人工智能.自然语言处理自然语言处理.患者体验患者体验以患者为中心的药物开发.社交媒体 社交媒体文本分析 文本分析没有满足的需求需要满足.

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相关实验视频

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科学领域:

  • 数字健康和患者参与度
  • 医疗保健中的人工智能
  • 社交媒体分析.

背景情况:

  • 增加患者的数字参与为以患者为中心的研究提供了机会.
  • 社交媒体是了解患者群体和推动有针对性的影响的宝贵数据来源.
  • 分析大量的在线信息需要先进的技术,如人工智能和文本分析.

研究的目的:

  • 展示一种可扩展的解决方案,用于在药物研发中利用社交媒体数据.
  • 捕捉和评估患者关于疾病,治疗和未满足需求的经验和期望.
  • 创建一个框架来应用这种方法在各种指示和治疗领域.

主要方法:

  • 利用人工智能和文本分析来处理和识别相关的社交媒体帖子.
  • 开发一个企业准备好的解决方案来捕获和评估患者生成的数据.
  • 在药物开发中建立一个游戏手册,以更广泛地实施药物开发.

主要成果:

  • 证明了社交媒体数据在研发方面的可行性和实用性.
  • 确定了与疾病和治疗有关的关键患者经验和期望.
  • 为医疗保健业务智能提供了一个可扩展的解决方案.

结论:

  • 当有效分析社交媒体数据时,它为R&D提供了关键的患者见解.
  • 开发的解决方案可以更深入地了解患者的需求和未满足的医疗需求.
  • 这种方法支持以患者为中心的药物开发,可以扩展到新的治疗领域.