Database Creation in Clinical Trials: The AI Advantage

Welcome
Database creation in clinical trials :The AI
Advantage
Dasari Anjali
B. Pharmacy
CSRPL_STD_IND_HYD_ONL
/CLS _068 /062024
10/18/2022
www.clinosol.com | follow us on social media
@clinosolresearch
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Index
• Introduction
• What's New AI In Clinical Trials
• Key Limitations of using AI in Clinical Trials
• The Future of Clinical Trials - Unlocking AI's Potential to
Revolutionize Healthcare Research.
• Understanding the Role of AI in Clinical Trials
• Ways/uses of AI in Clinical Trials
• Benefits of using AI in Clinical Trials
• Future of AI in Clinical Trials
• Conclusion
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INTRODUCTION
Database set up directly impacts the quality and valadity
of research data, and therefore is a crucial part of the
quality of clinical research. Setting up a quality database
implies following a strict data management process.
Therefore data is collected and managed have to be
discussed and selected by the protocol.
A informative and well - structured document simpifies
data base design & data validation.
The quality of the results is directly related to the quality
of the collected data.

What's New AI In Clinical Trials
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• The field of clinical trials is being completely transformed by
Artificial Intelligence (AI), which is opening up previously
unimaginable avenues for efficiency gains, precision in data
collection, and the rapid advancement of potentially life-
saving therapies. In this in-depth piece, we’ll look at how AI
can complement clinical trials, how using AI can be
beneficial, what some instances look like, and what the
future holds for this game-changing technology.
• AI-powered algorithms can analyze vast datasets to identify
potential participants swiftly. By matching patients to suitable
trials based on their medical history and genetic profiles, AI
significantly accelerates the recruitment process.

Key Limitations of using AI in Clinical Trials
The
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The future Clinical Trials - Unlocking AI's
Potential to Revolutionize Healthcare Research.
The need for new drugs and medical treatment has been
greater than ever. However, drug development is a complex
and time-consuming process. Despite the lightning speed at
which COVID-19 vaccines were developed, it often takes 10 to
12 years to bring a new drug to market, and the clinical trial
phase averages five to seven years.
Even reaching the trial phase gives no guarantee that the drug
will get the US Food and Drug Administration (FDA) approval,
as the vast majority of R&D efforts fail to produce a market-
worthy product, and only 12% of such drugs receive FDA
approval.
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Understanding the Role of AI in Clinical
Trials
Artificial intelligence (AI) in healthcare is becoming increasingly
prevalent across the industry. According to Statista, the global
healthcare AI market was worth around $11 billion in 2021 and
is projected to be worth $188 billion by 2030, increasing at a
CAGR of 37% from 2022 to 2030.
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Ways of AI Transforms Clinical Trials
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Use cases of AI in Clinical Trials
• (Text here)
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Benefits of using AI in Clinical Trials
• Using AI for clinical trials offers several advantages that
help enhance the accuracy, efficiency, safety, speed, and
overall success of the drug development process.
Mentioned below are some of the many benefits of AI in
clinical trials.
• They are :
• Faster time to market
• Cost efficiency
• Regulatory compliance
• Data analysis & Management
• Personlized medicine
• Improved patient outcomes
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• (Text here)
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Future of Aritifical Intelligence In Clinical
Trials
The future of artificial intelligence in clinical research is
promising as the technology is seemingly advancing at
breakneck speed, revolutionizing every phase of the clinical
trial value chain.
AI plays an increasingly integral role in accelerating drug
discovery and development, from optimizing trial protocols
and patient recruitment to enhancing data analysis and
safety monitoring. With AI’s capacity to drive precision
medicine, identify novel therapies, and simulate trial
strategies, it promises faster time to market, reduced costs,
and more effective, personalized treatments.
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Conclusion
• AI's capacity to sift through mountains of data, spot
trends, and make precise predictions has the potential to
hasten the development of new treatments as well as
improve trial design, patient recruitment and selection,
safety monitoring, and drug discovery.
• Artificial Intelligence (AI) can provide several benefits to
database administrators (DBAs) by automating routine
tasks, improving performance, enhancing security, and
facilitating decision-making
• Well-designed and well-performed clinical trials provide
new treatments & procedures.
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Thank You!
www.clinosol.com
(India | Canada)
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info@clinosol.com
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Database Creation in Clinical Trials: The AI Advantage

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