Course description
Artificial intelligence (AI) is rapidly becoming an important part of modern biomedical research. From writing stronger papers and grant applications to interpreting omics datasets and exploring the scientific literature, AI is helping researchers work more efficiently, carry out more thorough analyses and uncover new insights.
Designed for researchers who want to use AI more effectively in their work, this practical one day course is particularly relevant for those working with immunological or omics data. You'll explore the principles behind AI and machine learning before discovering how leading AI tools can be applied throughout the research process.
Using real immunology examples and guided practical exercises, you'll learn how to build your own AI research assistant to support everyday research tasks, while developing the skills to evaluate AI outputs critically, reduce common errors such as AI hallucinations and use AI confidently, responsibly and in line with current research best practice.
The course covers:
- The fundamentals of AI, machine learning and large language models (LLMs)
- Understanding the opportunities and limitations of AI in biomedical research
- AI safety, responsible use and the evolving regulatory landscape
- Understanding AI hallucinations and how to produce more reliable outputs
- Practical prompt writing and context engineering techniques
- Building your own AI research assistant using leading no code AI tools
- AI assisted literature reviews to search, compare and synthesise scientific evidence
- Interpreting omics datasets using AI tools
- Using AI to support grant writing, research planning and experimental design
The course is delivered by computational immunologists with experience across academia, biotechnology and the pharmaceutical industry, who understand both the biological questions researchers are trying to answer and the challenges of learning computational skills for the first time.
You will gain:
- Practical AI skills you can immediately apply to your own research
- Confidence choosing and using AI tools effectively and responsibly
- An understanding of how to critically evaluate AI generated outputs
- Strategies to reduce AI hallucinations and improve the reliability of AI assisted work
- An AI assisted workflow for literature reviews, grant writing and scientific writing
- An understanding of how AI can support omics interpretation and experimental design
- Transferable skills that can be applied across a wide range of biomedical research projects
Registration
This course is offered at a discounted rate to all BSI members. You can sign up to become a member online.
| BSI member | £395 + VAT |
| Non member | £775 + VAT |
BSI members also benefit from discounted registration for BSI events, access to journals, grants, career development opportunities and much more.
Who should attend?
This course is designed for any researcher who wants to use AI more effectively in their work. While particularly relevant for those working with immunological or omics data, the practical skills taught are applicable across a wide range of biomedical research disciplines.
It is particularly suitable for:
- Wet lab scientists with little or no experience of AI
- PhD students and postdoctoral researchers
- Researchers working with immunological or omics datasets
- Scientists who want to use AI to strengthen literature reviews, grant writing and research planning
- Researchers interested in integrating AI into their day to day workflow
- Anyone looking to develop practical AI skills without needing to learn programming
No coding or programming experience is required. Whether or not you currently use coding in your research, this course will provide practical techniques to help you make better use of AI in your day to day work.
Meet the trainer
Dr Jason Cosgrove
Principal Scientist, Computational Medicine
Jason is a computational immunologist with more than 10 years experience across academia, biotechnology and the pharmaceutical industry. Specialising in computational biology, AI and systems immuno-hematology, he delivers practical, research focused training designed to help biologists confidently apply computational approaches in their research.
Continue your AI learning journey
This course is part of the BSI's AI and machine learning training programme for researchers.
Whether you're taking your first steps into AI or already have computational experience, our programme offers courses to help you develop your skills further. Advanced courses explore topics including incorporating AI into analysis workflows and applying machine learning to immune profiling, prediction and biomarker discovery.
View the full training programme to explore all available courses and find the one that's right for your experience and research goals.
