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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.

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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

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Certificate

Program Assessment

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

Exam	Weightage
Mid Term Assignments	50 %
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.