My Business ResearchMy Business Research
  • Home
  • Advertising
  • Business
  • Conference
  • Marketing
  • Opportunities
  • Partnerships
What's Hot

How to Use Options Greeks to Your Advantage?

May 21, 2022

4 Best Practices for Dust Suppression and Control in Construction

May 13, 2022

Great Ideas for Your Laundromat’s Grand Opening

May 13, 2022
Facebook Twitter Instagram
Facebook Twitter Instagram
My Business Research My Business Research
Subscribe
  • Home
  • Advertising
  • Business
  • Conference
  • Marketing
  • Opportunities
  • Partnerships
My Business ResearchMy Business Research
Home»Business»Social Media And AI Have Changed How Clinical Trials Are Conducted
Business

Social Media And AI Have Changed How Clinical Trials Are Conducted

adminBy adminMay 13, 2022No Comments3 Mins Read
Facebook Twitter LinkedIn Telegram Pinterest Tumblr Reddit WhatsApp Email
Share
Facebook Twitter LinkedIn Pinterest Email

Clinical trial designers are leveraging the power of AI and social media to streamline Veristat  clinical trial design. This has been integral in transforming traditional clinical studies into modern clinical trials. But what exactly are the impacts of social media and AI on drug development? This article reveals the influence of artificial intelligence and social media in clinical trials. They’ve positively impacted, trial planning spreading awareness, and monitoring research processes.

The impact of social media on clinical trials

The use of social media in a clinical trial is today becoming a popular trend. Social media alleviates the shortcomings of conventional trials and makes modern clinical research super-efficient. For years, clinical trials have been struggling to find qualified patients. Social media makes it easier to reach out to qualified trial participants with targeted ads. Social ads allow researchers to target people based on age, location, gender, and other qualifying parameters to inform and easily acquire participants. Generally, social media allows clinical trials to save time on clinical trial planning, patent recruitment, and reaching potential patients in remote areas.

The impact of Artificial Intelligence (AI) on clinical trials

AI entails a variety of techniques: natural language learning (NLP), machine learning (ML), deep learning (DL), and optical character recognition. These elements work together to create data analysis algorithms and powerful mathematical models that extract essential details from sample data. These details are useful in making data-driven predictions and decisions in clinical trials. AI is powerful such that it’s increasingly finding its way in all stages of drug development. For example, it enhances patient selection during clinical trials and is being used to reduce population heterogeneity.

AI leverages large EMR (Electronic Medical Record) data from diverse formats, electronic phenotyping, and different levels of data accuracy to easily target the right patient population. Also, machine learning techniques enable prognostic enrichment. They enable trial managers to select patients with a higher likelihood of having an outcome of interest during the trial. Artificial intelligence enables predictive enrichment in clinical trials. This feature enables clinical trials to target patients that are likely to respond to treatment. This is possible because AI-powered programs can simultaneously analyze and compare many data sets.

Artificial intelligence and wearable technology in clinical trials

AI programs work together with wearable technology to streamline clinical trials. The combination of the two makes clinical trials more efficient. It enables remote and continuous participant monitoring tailored to each individual, which boosts patient engagement and facilitates reliable assessments of clinical processes. Investigators can collect and monitor data in real-time to make informed decisions quickly. For example, AI models can analyze data from video monitoring and wearable sensors to generate patient-specific disease diaries based on disease expression and behavioral changes. According to the National Library of Medicine, AI-based programs have once been used to determine the fewest doses necessary to reduce and shrink a brain tumor in simulated trials. Generally, the world of clinical trials increasingly embraces technology to streamline processes in research.

AI and social media are taking clinical trials to the next level. Leverage them to enjoy the efficiency and convenience of your clinical study.

Share. Facebook Twitter Pinterest LinkedIn Tumblr Telegram Email
Previous ArticleThe Potential Gains Of Laundry Equipment Upgrades
Next Article How to Build a Cybersecurity Compliance Plan
admin
  • Website

Related Posts

How to Use Options Greeks to Your Advantage?

May 21, 2022

4 Best Practices for Dust Suppression and Control in Construction

May 13, 2022

How to Build a Cybersecurity Compliance Plan

May 13, 2022
Add A Comment

Comments are closed.

Recent Posts
  • How to Use Options Greeks to Your Advantage? May 21, 2022
  • 4 Best Practices for Dust Suppression and Control in Construction May 13, 2022
  • Great Ideas for Your Laundromat’s Grand Opening May 13, 2022
  • How to Build a Cybersecurity Compliance Plan May 13, 2022
  • Social Media And AI Have Changed How Clinical Trials Are Conducted May 13, 2022
  • The Potential Gains Of Laundry Equipment Upgrades May 13, 2022
Archives
  • May 2022
  • April 2022
  • February 2022
  • January 2022
  • December 2021
  • November 2021
  • October 2021
  • September 2021
  • August 2021
  • July 2021
  • June 2021
  • May 2021
  • April 2021
  • March 2021
  • February 2021
  • January 2021
  • October 2019
Categories
  • Advertising
  • Business
  • Conference
  • Featured
  • Marketing
  • Opportunities
  • Partnerships
Top Posts

Subscribe to Updates

Get the latest sports news from SportsSite about soccer, football and tennis.

Advertisement
© 2021 My Business Research - All Rights Reserved.
  • Get In Touch

Type above and press Enter to search. Press Esc to cancel.