Use this calendar to find events organised or co-organised by the Milner Therapeutics Institute. If you have questions regarding any event in our calendar, please contact events@milner.cam.ac.uk.
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The next event in our popular Seminar Series will take place on Wednesday, 28th February. This seminar will include time for Q&A and will be followed by refreshments and networking. 4:00pm Professor Gonçalo Bernardes, Yusuf Hamied Department of Chemistry, University of Cambridge “Translational Chemical Biology” 4:30pm Louise Hosie, Epitopea “Configuring Novel Shared Tumour-Specific Antigens (TSAs) To Build […]
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The AI Club brings together the Biomedical AI and Machine Learning community in Cambridge, to discuss common themes and explore different topics and methodologies. March Theme Knowledge Graphs Speakers: Fatima Baldo (Milner Therapeutics Institute) “Introduction to Knowledge Graphs in Drug Repurposing” and Antonio Fabregat (AstraZeneca) “Empowering AZ’s Data Connectivity” Presentations start at 5:30pm, followed by networking […]
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Tony Kouzarides FRS, Director of the Milner Therapeutics Institute and Professor of Cancer Biology at the University of Cambridge will share his career experiences in academia and business. This event will be followed by networking over food and drinks at The LAB Cocktail Bar. This event is organized by Building Bridges in Medical Sciences (BBMS) […]
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Dr Jonathan Milner, Co-Founder of the Milner Therapeutics Institute and of Abcam plc, is an experienced entrepreneur and investor. He is passionate about supporting UK life science and high-tech start-ups and has provided considerable investment, mentoring and support to over 80 companies including assisting three technology companies to IPO on the London AIM Stock exchange. […]
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This event is presented as part of the Cambridge Festival. What is functional genomics and why is AI (artificial intelligence/machine learning) key to its interpretation? To find out this and more, join the Milner Therapeutics Institute as we take you on a tour through these new areas of medical research. Be ready to encounter big data, big […] |
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