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Related Concept Videos

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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Statistical Software for Data Analysis and Clinical Trials01:12

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Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
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Clinical Trials: Overview01:11

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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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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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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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Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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Characterizing Data Discovery and End-User Computing Needs in Clinical Translational Science.

Parmit K Chilana1, Elishema Fishman1, Estella M Geraghty2

  • 1University of Washington, USA.

Journal of Organizational and End User Computing : an Official Publication of the Information Resources Management Association
|April 15, 2014
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Summary
This summary is machine-generated.

Understanding clinical translational science data needs is crucial for developing effective research systems. Early partnerships with scientists improve system design and data access for research.

Keywords:
Biomedical ResearchClinical Data DiscoveryClinical Translational ScienceEnd-User Scientific ComputingFederated QueryingPatient Information SystemsUser Needs

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Area of Science:

  • Clinical Translational Science
  • Biomedical Informatics
  • Health Services Research

Background:

  • Principal investigators and research support staff face challenges in data discovery.
  • Existing translational research systems may not fully meet user needs.
  • Understanding user workflows is key to improving data access.

Purpose of the Study:

  • To characterize data discovery needs and barriers in clinical translational science.
  • To identify implications for designing and implementing effective translational research systems.
  • To explore the benefits of user-centered design in developing data systems.

Main Methods:

  • Qualitative case study methodology.
  • Analysis of data discovery needs and barriers.
  • User-centered, iterative development approach.

Main Results:

  • Identified specific data discovery needs and barriers for researchers and support staff.
  • Highlighted the importance of early scientific partnerships in system development.
  • Demonstrated the utility of an adapted i2b2 system for cross-institutional data querying.

Conclusions:

  • User-centered design and early collaboration are essential for developing successful translational research systems.
  • Adapting systems like i2b2 can facilitate access to aggregate anonymized clinical data.
  • Ongoing evaluation and adaptation are necessary to meet the evolving needs of clinical translational scientists.