OxML 2025: Machine Learning in Healthcare & Biomedical Sciences
Join the 6th Oxford Machine Learning Summer School (OxML 2025) for the latest advancements in machine learning for healthcare and biomedical sciences. Topics include drug discovery, genomics, and more.
Join the 6th Oxford Machine Learning Summer School – OxML 2025, held from 2–5 August 2025 at the University of Oxford’s Mathematical Institute and online. This course, www.oxfordml.school, focuses on the latest advancements in machine learning for health and biomedical applications.
Key topics include:
- Drug discovery
- Genomics
- Population health and epidemiology
- Electronic health records (EHR)
- Medical imaging
- Wearable data for population health
- Biomedical text processing and NLP
- AI models of the immune system
Theoretical topics covered are:
- Statistical and probabilistic machine learning
- Advanced representation learning (e.g., generative AI)
- Geometric deep learning
- Latest developments in computer vision
- Advances in NLP and large language models (LLMs)
- Knowledge graphs, knowledge-aware ML, and neuro-symbolic AI
- Real-world ML applications (e.g., alignment, interpretability, and ethics)
- Survival and causal analysis in biomedical research
Confirmed speakers include experts from leading institutions such as the University of Oxford, University of Cambridge, UCL, DeepMind, and more. A practical workshop on open-source tools for ML on edge devices and robots will be led by experts from Meta and Hugging Face.
For more information, visit www.oxfordml.school or contact us at contact@oxfordml.school.
Tags: Oxford Machine Learning Summer School, OxML 2025, Machine Learning in Healthcare, Biomedical Sciences, AI in Medicine, Deep Learning, Healthcare Applications