AI & Machine Learning in Drug Discovery
AI & Machine Learning in Drug Discovery focuses on the integration of advanced algorithms to accelerate and optimize the drug development process. This session highlights how AI models aid in target prediction, virtual screening, compound generation, and ADMET profiling. It also explores deep learning, generative models, and data-driven approaches that improve decision-making in medicinal chemistry. Real-world case studies and challenges like data quality and model interpretability will be discussed.
• Deep learning models for compound property prediction
• De novo molecular generation using AI
• Predictive analytics for toxicity and efficacy
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AI & Machine Learning in Drug Discovery Conference Speakers
Recommended Sessions
- Advances in Medicinal Chemistry: From Bench to Bedside
- AI & Machine Learning in Drug Discovery
- Case Studies in Drug Discovery and Development
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