Workshop Overview:
This workshop would introduce participants to the core concepts and applications of AI and machine learning in the drug discovery process, with a focus on how these technologies can accelerate research in the pharmaceutical industry.
Objective:
To equip participants with the understanding and tools necessary to apply AI in various stages of drug discovery, including target identification, drug design, and personalized medicine.
Key Sessions:
1. Introduction to AI and Machine Learning in Drug Discovery
- Overview of AI techniques in pharma
- Challenges and opportunities in drug discovery
2. AI in Drug Target Identification and Validation
- Machine learning models for predicting drug targets
- Case studies of successful AI-driven target identification
3. De Novo Drug Design Using AI
- Generative models (e.g., GANs) for novel drug development
- AI tools for compound screening and optimization
4. AI in Personalized Medicine
- Predicting individual drug responses through AI
- Case examples of AI-driven precision medicine in pharma
5. AI for ADMET and Toxicity Prediction
- How AI models predict drug absorption, distribution, metabolism, excretion, and toxicity
- Practical demo of using AI tools for ADMET prediction
6. Hands-on Session: AI in Drug Discovery
- Participants will work with AI tools or datasets to predict drug-target interactions or analyze molecular structures
- Real-time problem-solving with expert guidance
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