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Related Concept Videos

Clinical Trials01:16

Clinical Trials

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...
Clinical Trials: Overview01:11

Clinical Trials: Overview

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...
Preclinical Development: Overview01:28

Preclinical Development: Overview

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...
Nursing Clinical Information System01:27

Nursing Clinical Information System

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:
Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...

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Related Experiment Video

Updated: Jun 21, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

From protocol to practice: translating the clinical data into clinical practice.

Keith C Ferdinand1

  • 1Heartbeats Life Center, 1201 Poland Ave, New Orleans, LA 70117, USA. kcferdmd@aol.com

Postgraduate Medicine
|August 12, 2009
PubMed
Summary
This summary is machine-generated.

Clinical risk assessments require diverse patient data, as current guidelines may not adequately represent ethnic minorities, the elderly, or women. Future studies must prioritize inclusive sampling for equitable healthcare.

Related Experiment Videos

Last Updated: Jun 21, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

Area of Science:

  • Cardiology
  • Public Health
  • Clinical Research

Background:

  • Evidence-based risk assessments are crucial for clinical decisions.
  • Underrepresentation of ethnic minorities, the elderly, and women in major studies limits data for these groups.
  • The Framingham Heart Study exemplifies historical homogeneity in large-scale cardiovascular research.

Purpose of the Study:

  • To highlight the need for representative sampling in clinical studies.
  • To advocate for the equitable application of existing guidelines across all patient demographics.
  • To address data gaps affecting clinical decision-making for underrepresented populations.

Main Methods:

  • Review of existing clinical guidelines and landmark cardiovascular studies.
  • Analysis of demographic representation in large-scale health research.
  • Discussion of the implications of underrepresentation on clinical practice.

Main Results:

  • Significant underrepresentation of key demographic groups in pivotal studies.
  • Lack of specific evidence-based data for tailoring risk assessments in diverse populations.
  • Existing guidelines, like the Adult Treatment Panel III, are recommended for broad application despite data limitations.

Conclusions:

  • Future research must actively recruit diverse participants to ensure generalizability of findings.
  • Clinicians should apply current guidelines universally while acknowledging data gaps.
  • Addressing demographic disparities in research is essential for achieving health equity.