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Related Concept Videos

Clinical Trials01:16

Clinical Trials

10.1K
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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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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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...
5.6K

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Updated: Dec 11, 2025

In Silico Clinical Trials for Cardiovascular Disease
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In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

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Digitizing clinical trials.

O T Inan1, P Tenaerts2, S A Prindiville3

  • 1School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332 USA.

NPJ Digital Medicine
|August 22, 2020
PubMed
Summary
This summary is machine-generated.

Digital clinical trials leverage technology to enhance participant access, engagement, and data collection, potentially transforming research and reducing costs. This approach integrates mobile health, wearables, and advanced analytics for more efficient and effective clinical research.

Keywords:
Clinical trialsTranslational research

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Area of Science:

  • Clinical research methodology
  • Digital health technologies
  • Health informatics

Background:

  • Traditional clinical trials are essential for evaluating new health interventions but face challenges in efficiency and cost.
  • The integration of digital technology offers a transformative approach to clinical trials, improving various aspects of research.
  • A 2019 workshop convened experts to discuss implementing digital technologies in clinical trials, addressing potential challenges.

Purpose of the Study:

  • To define the components and elements of digital clinical trials.
  • To explore the use of digital technology for enhancing participant recruitment and retention.
  • To outline data collection methods, including mobile health and wearables, and address regulatory considerations.

Main Methods:

  • Review and synthesis of current digital clinical trial practices and technologies.
  • Discussion of strategies for implementing digital tools in clinical research, based on expert workshop findings.
  • Exploration of digital analytics, artificial intelligence, and machine learning applications in clinical trials.

Main Results:

  • Digital clinical trials utilize technology for improved participant access, engagement, measurements, and interventions.
  • Key components include mobile health, wearable devices, APIs, secure data transmission, and remote informed consent.
  • Advanced analytics, AI, and machine learning are crucial for processing and interpreting digital trial data.

Conclusions:

  • Digital clinical trials have the potential to significantly improve efficiency, accessibility, and cost-effectiveness in medical research.
  • Successful implementation requires addressing challenges related to data security, privacy, and regulatory oversight.
  • Future priorities include developing robust strategies to harness digital methods for the full benefit of clinical research.