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Duration 21 hours
Course Outline
Introduction to AI in Drug Discovery
- Overview of conventional drug discovery processes
- The transformative role of AI in drug discovery
- Case studies: Successful AI-driven drug discovery initiatives
Machine Learning in Molecular Modeling
- Fundamentals of molecular modeling and simulations
- Leveraging machine learning to predict molecular properties
- Constructing predictive models for drug-target interactions
Deep Learning for Virtual Screening
- Introduction to deep learning techniques in drug discovery
- Deploying deep neural networks for virtual screening
- Case studies: AI-driven virtual screening in pharmaceutical organizations
AI for Lead Optimization and Drug Design
- Techniques for optimizing lead compounds
- Using AI to predict ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) properties
- Integrating AI into the drug design pipeline
AI in Clinical Trials
- The role of AI in the design and management of clinical trials
- Predicting patient responses and adverse effects using AI models
- Case studies: AI applications in clinical trials
Ethical Considerations and Challenges in AI-Driven Drug Discovery
- Ethical issues surrounding AI applications in drug discovery
- Challenges related to data privacy, bias, and model interpretability
- Strategies for addressing ethical and regulatory concerns
Summary and Next Steps
Requirements
- A solid grasp of drug discovery and development procedures
- Proficiency in Python programming
- Familiarity with fundamental machine learning concepts
Target Audience
- Pharmaceutical scientists
- Artificial intelligence specialists
- Biotechnology researchers
Testimonials (2)
Getting people that never used AI some repetition in prompting and people that do use AI to consider different methods to using it.
Matthew Gay - Tarsus Pharmaceuticals
Course - Artificial Intelligence (AI) Overview
The training was organized and well-planned out, and I come out of it with systematized knowledge and a good look at topics we looked at
