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Duration 21 hours
Course Outline
Introduction to AI in Drug Discovery
- Review of conventional drug discovery methodologies
- How AI is revolutionizing the discovery landscape
- Analysis of successful AI-driven drug discovery initiatives
Machine Learning in Molecular Modeling
- Fundamentals of molecular modeling and simulations
- Leveraging machine learning to predict molecular characteristics
- Developing predictive models for drug-target interactions
Deep Learning for Virtual Screening
- Exploring deep learning techniques within drug discovery
- Deploying deep neural networks to conduct virtual screening
- Examining AI-driven virtual screening applications in the pharmaceutical industry
AI for Lead Optimization and Drug Design
- Methods for refining and optimizing lead compounds
- Predicting ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) profiles using AI
- Incorporating AI into the broader drug design pipeline
AI in Clinical Trials
- The impact of AI on clinical trial design and management
- Forecasting patient responses and adverse effects through AI models
- Case studies on practical AI applications in clinical trials
Ethical Considerations and Challenges in AI-Driven Drug Discovery
- Navigating ethical dilemmas in AI-driven drug discovery
- Addressing challenges related to data privacy, algorithmic bias, and model interpretability
- Strategies for mitigating ethical and regulatory risks
Summary and Next Steps
Requirements
- A solid comprehension of drug discovery and development workflows
- Proficiency in programming with Python
- Working knowledge of machine learning principles
Target Audience
- Pharmaceutical scientists
- AI specialists
- Biotech 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