Self Paced

Data Analytics and Artificial Intelligence Drug Development

Revolutionize Drug Development with Data Analytics and AI

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MODE
Online/ e-LMS
TYPE
Self Paced
LEVEL
Moderate
DURATION
1 Month

About

The integration of data analytics and artificial intelligence in drug development has the potential to revolutionize the pharmaceutical industry by enhancing the efficiency and accuracy of drug discovery processes. This program provides a comprehensive overview of the key concepts, methodologies, and tools used in data analytics and AI applications within the context of drug development. Participants will explore how these technologies can be applied to identify potential drug candidates, predict drug interactions, and optimize clinical trials.

Over the course of one month, learners will engage in theoretical and practical sessions that cover the entire drug development pipeline. They will gain hands-on experience with data analytics tools, machine learning algorithms, and AI-driven platforms tailored for pharmaceutical research. By the end of the program, participants will be equipped with the skills to apply data analytics and AI in real-world drug development scenarios, making them valuable assets in the pharmaceutical and biotechnology industries.

Aim

The aim of the “Data Analytics and Artificial Intelligence in Drug Development” program is to equip participants with the skills and knowledge necessary to leverage data analytics and AI technologies in the drug development process. This program focuses on the practical applications of data-driven approaches and AI techniques to accelerate and optimize drug discovery and development.

Program Objectives

  • Understand the principles of data analytics and AI in the context of drug development.
  • Gain proficiency in using data analytics tools and machine learning algorithms for pharmaceutical research.
  • Explore the applications of AI in various stages of the drug development pipeline.
  • Develop skills to analyze and interpret complex biological data.
  • Learn to apply data-driven approaches to optimize drug discovery and development processes.

Program Structure

Module 1

  • Collecting data from primary sources
  • Types & Methods of Primary researches
  • Legal, Ethical and Regulatory consideration while collecting information
  • The role of AI, technology and innovation in pharmaceutical primary research
  • Applications, Case Studies and Trends

Module 2

  • Information Analysis: Art of collecting information from Secondary domain
  • Importance of Clinical Trials in Information analysis
  • The role of virtual clinical trials and remote monitoring in new drug development
  • Drug delivery systems innovation: advances in formulation and delivery technologies
  • Applications, Case Studies and Trends

Module 3

  • The impact of data analytics and artificial intelligence in pharmaceutical R&D
  • Connecting the dots (Insight generation from the data collected)
  • Storytelling and Story building
  • Case Studies and Trends

Participant’s Eligibility

  • Undergraduate degree in Life Sciences, Computer Science, Biotechnology, or related fields.
  • Professionals in the pharmaceutical, biotechnology, or healthcare industries.
  • Researchers and scientists with a keen interest in data-driven drug development and AI applications.

Program Outcomes

  • Mastery of data analytics and AI applications in drug development.
  • Proficiency in using data analytics tools and AI algorithms.
  • In-depth understanding of the drug development pipeline.
  • Ability to analyze and interpret complex biological data.
  • Preparedness for careers in pharmaceutical and biotechnology industries.


Fee Structure

Standard Fee:           INR 4,998           USD 110

Discounted Fee:       INR 2499             USD 55

Batches

Spring
Summer

Autumn
Winter

Certificate

Program Assessment

Certification to this program will be based on the evaluation of following assignment (s)/ examinations:

Exam Weightage
Mid Term Assignments 20 %
Final Online Exam 30 %
Project Report Submission (Includes Mandatory Paper Publication) 50 %

To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.

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

  • Data Scientist in Pharmaceuticals
  • AI Researcher in Drug Development
  • Bioinformatics Specialist
  • Clinical Data Analyst
  • Pharmaceutical Data Analyst
  • Computational Biologist

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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