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. […]
Agenda 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 Speakers Prof. Dan Crowther, University of Dundee David Brett, Associate Director of LLMs, Recursion For details of our full Pharma and Life Science AI/ML Training Program […]
Focus Area – “Advancing a Scientific Framework for GenAI: Use Cases and Workforce Education” The Life Science Informatics Forum, established in 2021, is a developing community focused on sparking discussions on leading-edge topics within the broader Life Science Informatics arena and, more specifically, the Biopharma R&D informatics sector. Session Format Forum kick-off: greeting from […]
Available on demand from 21 February 2025, this series of 5 recorded sessions is addressed to Pharma industry: business leaders, budget holders, tech leaders and scientists. Training goal: unravel the complexities of ontologies and demonstrate their immense value in the life sciences domain by providing a general understanding of the different ontologies and their […]
Agenda LLM agents Automating DD tasks Speakers Prof. Mike Barnes, Queen Mary University Anniek Myatt, Recursion For details of our full Pharma and Life Science AI/ML Training Program and how to register, please click here.
AI/ML is ubiquitous across the pharma industry, at least as a label. Do all AI/ML activities actually represent artificial intelligence? We will first frame AI and ML separately, and describe why we might want one or the other. With a definition in place, we will highlgiht examples of ML/AI applications across the entire drug discovery […]
Agenda Knowledge graphs as a heterogeneous data store Analysis of knowledge graphs Graph RAG Graph neural networks Understanding complex biological mechanisms of action (MoA) for drugs and diseases is crucial for effective ORC prioritization and target identification. MIDAAS, our Multi-modal Integrated Data, Analytics & Agentic System, leverages GenAI-powered multi-agent systems to enhance this biological understanding. […]
Agenda Automating Drug Development via AI and 3D Printing NLP in Drug Development Speaker Prof. Moe Elbadawi, Queen Mary University For details of our full Pharma and Life Science AI/ML Training Program and how to register, please click here.
Strengthening Collaboration between Commercial R&D, Non-Profit R&D and Supply Side Organizations Join leaders from ELIXIR, EMBL-EBI, Pistoia Alliance, and the broader life sciences community for a dynamic meeting to strengthen collaboration between commercial R&D, non-profit research, and supply-side organizations. We’ll explore new ways to drive sustainable innovation across the ecosystem through presentations, interactive panels, including […]
This event will explore AI applications in drug discovery, data sharing, and advancements in integration technology. Session Format Doors Open: Pre-event check-in with light refreshments Main Event: Three to four presentations (20-25 minutes each) by subject matter experts on the topic Data Strategy for AI, followed by roundtable and panel discussions. Networking: A drinks […]
Focus Area – “The Future of a Seamless Laboratory Instrumentation Integration: Where Are We?” The Life Science Informatics Forum, established in 2021, is a developing community focused on sparking discussions on leading-edge topics within the broader Life Science Informatics arena and, more specifically, the Biopharma R&D informatics sector. Session Format Forum kick-off: greeting from […]
