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Mentor Based

AI in Clinical Analytics

Revolutionizing Clinical Research with AI-Driven Insights

Enroll now for early access of e-LMS

MODE
Online/ e-LMS
TYPE
Mentor Based
LEVEL
Advanced
DURATION
3 Weeks

About

This self-paced program explores the role of AI in clinical research, focusing on optimizing trial design, analyzing clinical trial data, predictive modeling for trial outcomes, and ensuring regulatory compliance. Participants will also prepare for key AI certifications in clinical research.

Aim

To provide PhD scholars and academicians with advanced skills in leveraging AI for clinical research and trials. This course aims to enhance the efficiency, accuracy, and compliance of clinical research through AI-driven methods and tools.

Program Objectives

  • Optimize clinical trial design using AI.
  • Analyze clinical trial data with AI tools.
  • Develop and implement predictive models for clinical trials.
  • Ensure regulatory compliance in AI-driven research.
  • Prepare for AI certifications in clinical research.

Program Structure

  1. AI in Trial Design
    • Optimizing clinical trial design with AI
    • Tools and techniques for AI-driven trial design
    • Hands-on session with AI tools for trial design
  2. Data Analysis in Clinical Research
    • Using AI for analyzing clinical trial data
    • Key AI technologies in clinical data analysis
    • Practical applications and case studies
  3. Predictive Modeling
    • AI models for predicting trial outcomes
    • Implementing predictive modeling in clinical trials
    • Hands-on session with predictive modeling tools
  4. Regulatory Compliance
    • Ensuring compliance in AI-driven clinical research
    • Regulatory standards and guidelines
    • Case studies and best practices
  5. Certification Preparation
    • Key topics for AI certifications in clinical research
    • Study materials and resources
    • Practice exams and review sessions

Participant’s Eligibility

Clinical researchers, medical professionals, biostatisticians, and academic researchers.

Program Outcomes

  • Develop and optimize AI-driven clinical trial designs.
  • Analyze clinical trial data using advanced AI tools.
  • Implement predictive models to forecast trial outcomes.
  • Ensure compliance with regulatory standards in clinical research.
  • Prepare for AI certification exams in clinical research.

Fee Structure

Fee:       INR 8,499             USD 112

We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!

List of Currencies

Batches

Spring
Summer

Live

Autumn
Winter

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Key Takeaways

Program Deliverables

  • Access to e-LMS
  • Real Time Project for Dissertation
  • Project Guidance
  • Paper Publication Opportunity
  • Self Assessment
  • Final Examination
  • e-Certification
  • e-Marksheet

Future Career Prospects

  • Clinical Data Scientist
  • AI Specialist in Clinical Trials
  • Biostatistician
  • Clinical Research Coordinator
  • Regulatory Affairs Specialist
  • AI Compliance Officer

Job Opportunities

  • Pharmaceutical companies
  • Clinical research organizations (CROs)
  • Hospitals and healthcare providers
  • Biotechnology firms
  • Regulatory agencies
  • Academic institutions

Enter the Hall of Fame!

Take your research to the next level!

Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.

Centre of Excellence
Join the esteemed Centre of Excellence.

Networking and Learning
Network with industry leaders, access ongoing learning opportunities.

Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).

Achieve excellence and solidify your reputation among the elite!


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Recent Feedbacks In Other Workshops

Please prepare better material with both foundamentals on the topics and manifacturing processes. More It was not a good idea to just use existing slides from other presentations put together.
Other sources for informations should also be presented for self tuition

GC Faussone : 2025-01-23 at 10:09 pm

great knowledge about topic.


Mr. Pratik Bhagwan Jagtap : 2025-01-22 at 7:29 pm

In general, it seems to me that the professor knows his subject very well and knows how to explain More it well.
CARLOS OSCAR RODRIGUEZ LEAL : 2025-01-20 at 8:07 am

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