Events

Reactivation of Pro-regenerative Macrophage IL-13 Signaling to Promote Cardiac Functional Recovery in Adults 

Steve Niederer (Imperial)- From Proteins to Whole Heart Physiology Building a Digital Heart 

Tian Zhao (Cambridge)- Immune Modulation in Atherosclerosis from Blood to Plaque 

The new Quantitative Cardiothoracic Imaging (QCI) seminar series opens with an exciting talk by Mieke Stantien and Kenrick Schulze from Charité.

The Accelerate Programme for Scientific Discovery, based in the Department of Computer Science and Technology, offers support for researchers across the University to use AI in their research.

The AI Club brings together the Biomedical AI and Machine Learning community in Cambridge, to discuss common themes and explore different topics and methodologies. The sessions open conversations to inform, inspire, and connect researchers at all levels, on topics within computational biology, AI and bioinformatics.

The Accelerate Programme for Scientific Discovery, based in the Department of Computer Science and Technology, offers support for researchers across the University to use AI in their research.

Join us to share the latest developments in engineering biology, synthetic biology and related approaches and techniques.

Lecture title: Evidence triangulation: moving from correlations to causes

The Accelerate Programme for Scientific Discovery, based in the Department of Computer Science and Technology, offers support for researchers across the University to use AI in their research.

Integration of Data from Multiple Domains 

Keynote lecturer: Matthew Stephens, University of Chicago 'The Menagerie of Matrix Factorization Methods' 

Plus talks from Manuela Zucknick, University of Oslo and Gibran Hemani at the Unversity of Bristol 

In-person and remote attendance is available