Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

4.9K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
4.9K
The Scientific Method in Nursing Process01:18

The Scientific Method in Nursing Process

12.9K
The scientific method provides the foundation for any research. It is the most reliable and objective of all forms of gaining knowledge and guides in applying research-based evidence in practice and conducting future research.
When using research findings to change practice, one must understand the process used to guide a study. The scientific method is a systematic, step-by-step process that supports the data's validity, reliability, and generalizability. As a result, findings can be...
12.9K
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.9K
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...
5.9K
Inductive Reasoning00:59

Inductive Reasoning

63.0K
Inductive reasoning is a form of logical thinking that uses related observations to arrive at a general conclusion. It is uncertain and operates in degrees to which the conclusions are credible. As such, inductive arguments can be weak or strong, rather than valid or invalid, and conclusions can be used to formulate testable, falsifiable hypotheses.
Inductive reasoning is common in descriptive science. A life scientist makes observations and records them. This data can be qualitative or...
63.0K
Nursing Clinical Information System01:27

Nursing Clinical Information System

876
Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
876
Current Trends in Nursing II01:30

Current Trends in Nursing II

1.4K
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,...
1.4K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Neighborhood-Level Racial and Ethnic Residential Segregation and Incidence of Atrial Fibrillation: The Multi-Ethnic Study of Atherosclerosis.

Journal of the American Heart Association·2026
Same author

Association between Lipoprotein(a) and diet quality with cardiovascular disease risk: the multi-ethnic study of atherosclerosis.

American journal of preventive cardiology·2026
Same author

iCARDIO Alliance global implementation guidelines for the management of obesity 2025 focus on prevention and treatment of cardiometabolic disease.

American journal of preventive cardiology·2026
Same author

Disparities in Cardiovascular Medicine: Evidence Is Not Enough, Policy Change Is Essential.

Circulation·2026
Same author

Association of Subclinical Cardiac Remodeling With Incident Cancer in the MESA Cohort.

Journal of the American Heart Association·2026
Same author

Coronal Spinal Deformity Does Not Predict Clinical Response to Thoracic Spinal Cord Stimulation.

Neuromodulation : journal of the International Neuromodulation Society·2026
Same journal

A Video Protocol of a Randomized Controlled Clinical Trial - Electrochemotherapy of Cutaneous Metastases with Reduced Dose Bleomycin (BLESS Trial).

Journal of visualized experiments : JoVE·2026
Same journal

A Standardized Ex Vivo Porcine Oromucosal Model for Evaluating Peptide Fluxes.

Journal of visualized experiments : JoVE·2026
Same journal

Lightweight English Text Classification with Deep Learning Based on Complex System Theory.

Journal of visualized experiments : JoVE·2026
Same journal

Integrating Artificial Intelligence-Assisted Translation Support into English Courses: Effects on Translation Accuracy, Perceived Stress, and Anxiety.

Journal of visualized experiments : JoVE·2026
Same journal

A Toxin-Based Counter-Selection System for Markerless Gene Deletion and High-Density Tn5 Transposon Mutagenesis in Pectobacterium brasiliense.

Journal of visualized experiments : JoVE·2026
Same journal

Seamless Multimodal Human-Robot Communication: Integration Techniques in Human-Computer Interaction.

Journal of visualized experiments : JoVE·2026
查看所有相关文章

相关实验视频

Updated: Sep 17, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

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

Published on: June 13, 2025

592

基于证据的知识综合和假设验证:通过可解释的AI和代理系统导航生物医学知识库.

Alexander R Pelletier1, Joseph Ramirez2, Baradwaj Simha Sankar2

  • 1Department of Physiology, UCLA School of Medicine; Scalable Analytics Institute (ScAi) at Department of Computer Science, UCLA School of Engineering; arpelletier@g.ucla.edu.

Journal of visualized experiments : JoVE
|June 30, 2025
PubMed
概括
此摘要是机器生成的。

这项研究介绍了RUGGED,一种使用检索增强生成 (RAG) 的工作流程,以改善生物医学知识的发现. RUGGED可以减少大语言模型 (LLM) 的幻觉,并有助于识别新疗法.

更多相关视频

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.8K
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

692

相关实验视频

Last Updated: Sep 17, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

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

Published on: June 13, 2025

592
A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.8K
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

692

科学领域:

  • 生物医学信息学 生物医学信息学
  • 人工智能在医学中的应用
  • 知识 发现 发现 发现

背景情况:

  • 生物医学数据的巨大规模给研究人员带来了挑战.
  • 大型语言模型 (LLM) 提供了潜力,但患有幻觉.
  • 检索增强生成 (RAG) 对于提高LLM准确性至关重要.

研究的目的:

  • 介绍RUGGED (在图形引导的可解释疾病区分下检索),用于知识整合和偏差缓解的工作流程.
  • 促进生物医学新研究方向的探索和验证.
  • 提高LLM驱动的生物医学研究的可靠性.

主要方法:

  • 从文献和知识库中合成生物医学信息.
  • 采用文本挖掘关联分析和可解释的图形预测模型.
  • 使用RAG增强的LLM进行假设探索和机制调查.

主要成果:

  • 发现潜在的药物疾病关系和分子相互作用.
  • 证明RUGGED在评估心律失常性心肌病 (ACM) 和扩张性心肌病 (DCM) 治疗方法中的实用性.
  • 减少法学士幻觉,并突出新型治疗方法的可操作见解.

结论:

  • 通过整合多样化的生物医学数据,RUGGED简化了新疗法的研究.
  • 工作流程提高了生物医学研究LLM应用程序的准确性和可靠性.
  • RUGGED支持药物发现和重新定位的知情决策.