Self Paced

Artificial Intelligence for Cancer Drug Delivery

Transforming Cancer Treatment with AI Precision

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

About

The “Artificial Intelligence for Cancer Drug Delivery” program delves into the integration of AI technologies in the development and optimization of cancer therapies. Participants will explore how machine learning algorithms, neural networks, and big data analytics are revolutionizing the design, testing, and delivery of cancer drugs. Through a combination of theoretical knowledge and practical applications, the program aims to provide a comprehensive understanding of the intersection between AI and oncology.

This program will cover key topics such as predictive modeling, drug efficacy prediction, patient-specific treatment plans, and the use of AI in identifying new therapeutic targets. By the end of the course, participants will be adept at using AI tools to analyze vast datasets, predict outcomes, and design more effective and personalized cancer treatments. The curriculum is designed to bridge the gap between computational technologies and clinical applications, ensuring that graduates are well-equipped to contribute to advancements in cancer treatment.

Aim

To empower participants with the knowledge and skills to leverage artificial intelligence in the field of cancer drug delivery, enhancing treatment precision and efficiency through advanced computational methods and data analytics.

Program Objectives

  • Understand the fundamentals of AI and machine learning.
  • Explore the application of AI in cancer drug discovery and development.
  • Learn to use AI tools for predictive modeling and data analysis.
  • Develop skills in designing personalized treatment plans using AI.
  • Gain practical experience through case studies and project work.

Program Structure

Participant’s Eligibility

  • Undergraduate degree in Biotechnology, Computer Science, Bioinformatics, or related fields.
  • Professionals in the pharmaceutical or healthcare industries.
  • Individuals with a keen interest in the application of AI in medical research.

Program Outcomes

  • Proficiency in AI tools and techniques relevant to cancer drug delivery.
  • Ability to analyze and interpret biomedical data using AI.
  • Skills to design and implement AI-driven solutions for personalized cancer treatment.
  • Knowledge of the latest advancements in AI applications in oncology.
  • Enhanced problem-solving skills in biomedical research contexts.

Mentor Profile

No Entries Found

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

  • AI Specialist in Oncology
  • Biomedical Data Scientist
  • Pharmaceutical Research Scientist
  • Healthcare AI Consultant
  • Clinical Data Analyst
  • Bioinformatics Software Developer

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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