AI and omics upskilling for research teams
Techniques Used: RNAseq | scRNAseq | LLMs | Retrieval Augmented Generation
The Challenge: Immunology research teams had mixed abilities in terms of programming, data analysis and AI, limiting their productivity
Solution: We delivered a 1.5 day course designed to meet the exact needs of the teams, with practical sessions developed around their own datasets.
Dr. Molly Ingersoll
Mucosal Immunity Research Team. Institut Pasteur & Institut Cochin.
Dr. Darragh Duffy
Translational Immunology Unit. Institut Pasteur.
No-code AI tools for PIs
Techniques Used: Claude | Gemini | Notebook LM
The Challenge: AI tools are developing very quickly and it is not easy to assess which tools are best adapted to immunology workflows
Solution: A 2 hour training comprising theoretical and practical components showing key AI technologies and demoing key no-code AI tools to speed up research workflows and grant writing
Prof. Mark Coles
Systems and Stromal Immunology. Kennedy Institute, University of Oxford