Prof Glenn King, Institute for Molecular Bioscience, The University of Queensland and Infensa Bioscience Translational Research Institute, Brisbane, Australia.
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29Aug
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02Sep
Uncovering the Matrisome: advances and trends in Matrix Research
Location: University of Surrey, Guildford
Start date: Sept. 2, 2025
Duration: 2 days
Registration start: May 12, 2025 Registration end date: Aug. 13, 2025 Registration late date: July 31, 2025
Abstract start: May 12, 2025
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04Sep
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.
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10Sep
The 8th Cambridge Neuroscience Symposium – Interventions & Recovery
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23Sep
Immune Highways: Interconnected Defence across Organs
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25Sep
Caitlin O'Meara - Associate Professor at the Medical College of Wisconsin, USA
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29Sep
Steve Niederer (Imperial)- From Proteins to Whole Heart Physiology Building a Digital Heart
Tian Zhao (Cambridge)- Immune Modulation in Atherosclerosis from Blood to Plaque
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02Oct
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.
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23Oct
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
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06Nov
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.
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