The online “Pharma and Life Sciences AI/ML Training Program” comprises of 9 sessions and has been developed with the expertise of academics and industry professionals. The training is designed to equip professionals with cutting-edge knowledge and skills in the application of Artificial Intelligence (AI) and Machine Learning (ML) to the pharmaceutical and life sciences industries. The program covers a range of topics including the role of AI in drug discovery, with a focus on generative AI techniques that accelerate drug development.
Speakers from:
- Academia: Queen Mary University of London and University of Dundee, UK
- Industry professionals: MSD, Roche, AbbVie, Novo Nordisk
Curriculum
Session 1
20 May – Introduction to AI for drug discovery
- Overview based on the review wrote by academics from Queen Mary University and experts from MSD.
Session 2
27 May – Generative AI for Drug Development
- GANs for generating novel medicines
- LLMs for simulating drug development
Session 3
03 June – Computer vision
- Introduction to computer vision
- Deep learning
- Image classification
- Object detection
- Segmentation (semantic and instance)
- Image enhancement
- Outlook / future trends
Session 4
10 June – Multimodal Deep Learning
- Introduction to multimodal deep learning
- Encoders for different modalities
- Discriminative multimodal approaches (fusion)
- Generative multimodal approaches
- Foundation models
- Challenges
- Outlook / future trends
Session 5
17 June – LLMs in early discovery
- Introduction to target identification
- Knowledge extraction from literature (embedding, clustering, chatbots)
- Reducing the hallucinations (RAG, Graph RAG)
- Accessing structured data: impact on scripting and next-gen tools
Session 6
24 June – LLMs as Agents in Drug Discovery
- LLM agents
- Automating DD tasks
Session 7
01 July – AI in Computational Medicinal Chemistry
- The MedChem task & multimodal discovery
- Protein structure prediction
- Druggability assessment
- Virtual screening
- Actives assessment & hit expansion (Exploration)
- Lead Optimisation & ADMET approaches (Exploitation)
- Generative Design strategies
Session 8
08 July – Knowledge graphs
- Knowledge graphs as a heterogeneous data store
- Analysis of knowledge graphs
- Graph RAG
- Graph neural networks
Session 9
15 July – Digital pharmaceutical manufacturing
- Automating Drug Development via AI and 3D Printing
- NLP in Drug Development
Prices
- Early bird member rate (by end of April): $400
- Early bird non-member rate (by end of April): $800
- Member price (as of 1st of May until end of year): $600
- Non-Member price (as of 1st of May until end of year): $1200
- Academia: special price based on voucher code: $300
Please note you must be logged in to access the member prices.
No Refund Policy for Training
Please review our refund and exchange policy carefully:
No Refunds: All payments for training sessions are final. We do not offer refunds for any reason, including but not limited to scheduling conflicts, personal emergencies, or dissatisfaction with the content.
By registering for our training, you acknowledge and agree to this policy.
Non members:
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Members:
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