CLOSE

Specials

I agree We use cookies on this website to enhance your user experience. By clicking any link on this page you are giving your consent for us to set cookies. More info

Skip to: Curated Story Group 1
lifesciencesreview
US
EUROPE
APAC
CANADA
  • US
    • US
    • EUROPE
    • APAC
    • CANADA
    • LATAM
  • Home
  • Contributors
  • News
  • Conferences
  • Newsletter
  • Whitepapers
  • Magazine
×
#

Life Science Review Weekly Brief

Be first to read the latest tech news, Industry Leader's Insights, and CIO interviews of medium and large enterprises exclusively from Life Science Review

Subscribe

loading

Thank you for Subscribing to Life Science Review Weekly Brief

  • Home
  • News

Recommended picks

RealTime Software Solutions Acquires Complion

RealTime Software Solutions Acquires...

What role does artificial intelligence play in the employment process?

What role does artificial...

Why AI is Used for Quality Management in Life Science

Why AI is Used for Quality Management...

Application of AI in Genetics

Application of AI in Genetics

How Artificial Intelligence Impacts Biotechnology

How Artificial Intelligence Impacts...

Akanta's Contextual Intelligence 360 to Enhance Customer Experience

Akanta's Contextual Intelligence 360...

MMIT/Evaluate to Boost Pharma Analytics After Acquisition of Panalgo

MMIT/Evaluate to Boost Pharma...

Syneos Health's Acquisition of RxDataScience to Help Boost Product Development

Syneos Health's Acquisition of...

RealTime Software Solutions Acquires Complion

RealTime Software Solutions Acquires...

What role does artificial intelligence play in the employment process?

What role does artificial...

Why AI is Used for Quality Management in Life Science

Why AI is Used for Quality Management...

Application of AI in Genetics

Application of AI in Genetics

How Artificial Intelligence Impacts Biotechnology

How Artificial Intelligence Impacts...

Akanta's Contextual Intelligence 360 to Enhance Customer Experience

Akanta's Contextual Intelligence 360...

MMIT/Evaluate to Boost Pharma Analytics After Acquisition of Panalgo

MMIT/Evaluate to Boost Pharma...

Syneos Health's Acquisition of RxDataScience to Help Boost Product Development

Syneos Health's Acquisition of...

Four Uses of AI in Clinical Trials

Life Sciences Review | Tuesday, September 07, 2021
Tweet

AI systems can enhance patient trial process and improve drug success during clinical trials.


Fremont, CA: Clinical trials are a time-consuming and tiring process. Once the testing of a drug or medication begins, researchers can look into the positive and negative impacts of the drug or medication. However, there is a potential of long-term side effects in medical science that can develop into symptoms over time.


Artificial intelligence may be used at many stages in the medical industry, from identifying drug tests to repurposing obsolete drugs. AI assists in enhancing the use of data to discover potential patients and keeping track of the patients' journeys and drug success during clinical trials.


AI is being used for clinical trials in the following four ways:


Designing clinical trials


Traditional clinical trials were done with limited data but using AI, and data can be gathered from various available sources. Regardless of the success or failure rate of previous trials, AI-enabled technologies and systems can collect, organize, and evaluate the data created by them. Such algorithms are capable of determining the most appropriate scenarios and trial times. These intelligent systems can also assist in addressing the shortcomings of previous trials.


Check Out This: Fusion


 


Selecting appropriate patient


AI uses the available database to improve patient selection and trial success. Artificial intelligence-based research systems use their algorithms to identify and select the appropriate individual for a trial—this aids in reducing population heterogeneity, which is necessary for a successful trial to begin with.AI algorithms can identify the most likely patients to respond to treatment, ensuring that only the most suitable patients participate in studies to meet the requirements.


Selecting trial site


AI systems can suggest acceptable sites and locations for testing based on that area's geographical and climatic parameters. Sites with proper equipment, trained professionals and emergency facilities are preferred.


Monitoring patient’s condition


AI algorithms utilize patient data to analyze the pre-trial and post-trial conditions of the patient. Wearing smart wearable devices while performing trials can help in monitoring the symptoms of the patient in real-time. AI-based systems record the data whenever they detect changes in patient symptoms after the drug is given to the patient. This data is transferred across various systems for further research and future reference.


See Also :- Top Artificial Intelligence Solution Companies


 


Weekly Brief

loading
> <
  • Regulatory Services 2023

    Top Vendors

    Current Issue
  • Clinical Lab Equipment 2023

    Top Vendors

    Current Issue
  • Regulatory Services 2023

    Top Vendors

    Current Issue
  • Clinical Lab Equipment 2023

    Top Vendors

    Current Issue

Read Also

Prophesying DNA Sequencing for 2023

Crucial Workflows of Next-Generation Sequencing

An Overview of Next-Generation Sequencing

The Role of AI in Accurate Medical Writing

Patrik Renblad to Join Cantargia as Chief Financial Officer

Overview of the Life Sciences BPO Market

Dr. Zamaneh Mikhak Joins TFF Pharmaceutical as the New Chief Medical Officer

The Significance of AI in Medical Writing

Loading...

Copyright © 2023 Life Sciences Review . All rights reserved. |  Subscribe |  About Us follow on linkedin

This content is copyright protected

However, if you would like to share the information in this article, you may use the link below:

https://www.lifesciencesreview.com/news/four-uses-of-ai-in-clinical-trials-nwid-524.html