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Keep shoppingIntroduction to AI & ML techniques in Drug Discovery
816 students
Introduction to AI & ML techniques in Drug Discovery
Applications of Artificial Intelligence & Machine Learning techniques in Drug Discovery, Designing & Development process
Created byHussain Basha Syed
Last updated 2/2022
English
What you'll learn
- Introduction to drug discovery and applications of AI & ML techniques at different stages
- ABCDs of AI & ML terminology
- Introduction to types of Artificial Intelligence & Machine learning
- Introduction to Neural networks and Natural Language processing
- Introduction to potential of AI & ML in Drug Discovery
- Introduction to advantages and limitations of applying AI in drug discovery
- Current Solution 1: AI based information aggregation from vast literature
- Current Solution 2: AI based systems modelling to understand disease mechanisms
- Current Solution 3: AI based systems modelling of novel drug like molecules
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Course content
9 sections • 13 lectures • 3h 17m total length
Requirements
- Basic knowledge of computers applications and Internet access
Description
A perfect course for Bachelors / Masters / PhD students who are getting started into Drug Discovery research. This course is specially designed keeping in view of beginner level knowledge on Artificial Intelligence, Machine learning and computational drug discovery applications for science students. By the end of this course participants will be equipped with the basic knowledge required to navigate their drug discovery project making use of the Artificial Intelligence and Machine learning based tools.
Who this course is for:
- Bachelors or Masters degree or PhD scholar of Pharmaceutical sciences, Biochemistry, Biotechnology, Chemistry or related who are into drug discovery research will benefit most of this course.