Introduction
Drug discovery is a notoriously risky and expensive process. AI-driven drug discovery has emerged rapidly in recent years, to become a major avenue for biotechnology and pharmaceutical companies to gain faster and cheaper access to drug therapeutics. This course is intended to introduce learners to the application of AI/ML and computational data analysis in drug discovery.
- Graduate Certificate in Artificial Intelligence and AI Plus
- FlexiMasters in Artificial Intelligence and AI Plus
At the end of the course, learners are able to:
- Understand more advanced concepts of drug discovery and how AI/ML can be applied to accelerate various phases of drug discovery, specifically in drug screening
- Identify a problem in the drug discovery process, formulate a solution, and evaluate appropriate algorithms to solve the problem.
- Predict protein interactions, protein complexes, and disease genes
In this course, we introduce the phases of drug discovery and different machine learning methods that can be embedded into the drug discovery process to facilitate drug target identification and drug design. The course is intended to be a follow-up course from an introductory course, focusing on more advanced concepts. Through studies of different AI/ML methods, the students will also enhance their ML skills. For biology/biomedical students, the course is intended to be a foundation course in AI/ML. It mainly covers:
- AI-based Drug screening and virtual screening
- Introduction to machine learning based on Drug target interaction
No pre-requisites are needed to enrol in the individual courses.
Participants need to take note that those without qualifications or prior working experience in relevant engineering or the related fields, may find the course contents challenging.
Standard Course Fee: S$1,944
SSG Funding Support | Course fee payable after SSG funding, if eligible under various schemes | ||
Fee BEFORE funding & GST | Fee AFTER funding & 8% GST | ||
Singapore Citizens (SCs) and Permanent Residents (PRs) (Up to 70% funding) | s$1,800.00 | S$583.20 | |
Enhanced Training Support for SMEs (ETSS) | S$223.20 | ||
SCs aged ≥ 40 years old |
• NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click here for more information.
Select one of the following options:
COURSE TITLE | ACADEMIC UNIT |
AI for Advance Manufacturing and Engineering | |
CET870 AI for Advanced Manufacturing and Engineering (Basic) | 1 |
CET871 AI for Advanced Manufacturing and Engineering (Intermediate) | 1 |
CET872 AI for Advanced Manufacturing and Engineering (Advanced) | 1 |
AI for Bioimage, Signal Analysis & Healthcare | |
CET873 AI for Bioimage, Signal Analysis & Healthcare (Basic) | 1 |
CET874 AI for Bioimage, Signal Analysis & Healthcare (Intermediate) | 1 |
CET875 AI for Bioimage, Signal Analysis & Healthcare (Advanced) | 1 |
AI for Business Analytics | |
CET876 AI for Business Analytics (Basic) | 1 |
CET877 AI for Business Analytics (Intermediate) | 1 |
CET878 AI for Business Analytics (Intermediate) | 1 |
AI for Drug discovery & Protein Interactions | |
CET879 AI for Drug discovery & Protein Interactions (Basic) | 1 |
CET881 AI for Drug discovery & Protein Interactions (Advanced) | 1 |
AI for Computational Geonomics | |
CET882 AI for Computational Geonomics (Basic) | 1 |
CET883 AI for Computational Geonomics (Intermediate) | 1 |
CET884 AI for Computational Geonomics (Advanced) | 1 |
AI for Accelerated Materials Development | |
CET885 AI for Accelerated Materials Development (Basic) | 1 |
CET886 AI for Accelerated Materials Development (Intermediate) | 1 |
CET887 AI for Accelerated Materials Development (Advanced) | 1 |
AI for Smart City and Urban Systems | |
CET888 AI for Smart City and Urban Systems (Basic) | 1 |
CET889 AI for Smart City and Urban Systems (Intermediate) | 1 |
CET890 AI for Smart City and Urban Systems (Advanced) | 1 |
Listed courses are:
- Credit-bearing and stackable to Graduate Certificate in Artificial Intelligence and AI Plus (total 9AUs) and FlexiMasters in Artificial Intelligence and AI Plus (total 15AUs).