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X-WR-CALDESC:The world's biggest celebration of medicine
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DTSTART:20260205T220000Z
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DTSTAMP:20260124T154500Z
CREATED:20260124
LAST-MODIFIED:20260124
PRIORITY:5
TRANSP:OPAQUE
SUMMARY:UCL World Cancer Day Public Lecture
DESCRIPTION:Cancer vs. The Computer: How data science, AI and predictive modelling are reshaping cancer care.\n\n\nTo mark World Cancer Day 2026, our UCL panellists discuss some of the latest cancer research in their respective fields.\nThis special event will explore the rapidly evolving field of Computational Cancer. The discussion will highlight how data‑driven science, artificial intelligence and advanced mathematical modelling are transforming our understanding of cancer, improving diagnostic accuracy and accelerating the development of new therapies.\nUCL’s distinctly multidisciplinary approach brings together experts across computational biology, oncology, engineering and data science and this event will showcase the innovative research taking place across the university. It’s an opportunity to hear directly from leading UCL researchers about how computational methods are reshaping the future of cancer care.\n \nPanellists\n\nJasmin Fisher, Professor of Computational Biology, UCL Cancer Institute\n\n\nSimon Walker-Samuel, Professor of Biophysics and Imaging, UCL Division of Medicine\n\n\nNicola Maciocia, Principal Clinical Research Fellow, UCL Cancer Institute\nCatarina Isabel Correia Veloso Da Veiga, Associate Professor, UCL Department of Medical Physics and Biomedical Engineering\n\n \nAccess profile\nThis event will take place online.\nA link to the event will be sent to you before the event start time.\nLive captioning is available for this event.\nWe aim to make our events as inclusive as possible, so if you have any accessibility requirements or enquiries that are not covered in the above access profile please contact the events team at fms.education@ucl.ac.uk. If you could contact us allowing as much time as possible before the event we will be able to ensure where required that the appropriate measures are taken.\n\n\n
X-ALT-DESC;FMTTYPE=text/html:<div>Cancer vs. The Computer: How data science, AI and predictive modelling are reshaping cancer care.</div>
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<p>To mark World Cancer Day 2026, our UCL panellists discuss some of the latest cancer research in their respective fields.</p>
<p>This special event will explore the rapidly evolving field of Computational Cancer. The discussion will highlight how data‑driven science, artificial intelligence and advanced mathematical modelling are transforming our understanding of cancer, improving diagnostic accuracy and accelerating the development of new therapies.</p>
<p>UCL’s distinctly multidisciplinary approach brings together experts across computational biology, oncology, engineering and data science and this event will showcase the innovative research taking place across the university. It’s an opportunity to hear directly from leading UCL researchers about how computational methods are reshaping the future of cancer care.</p>
<p>&nbsp;</p>
<p><strong><strong>Panellists</strong></strong></p>
<ul>
<li>Jasmin Fisher, Professor of Computational Biology, UCL Cancer Institute</li>
</ul>
<ul>
<li>Simon Walker-Samuel, Professor of Biophysics and Imaging, UCL Division of Medicine</li>
</ul>
<ul>
<li>Nicola Maciocia, Principal Clinical Research Fellow, UCL Cancer Institute</li>
<li>Catarina Isabel Correia Veloso Da Veiga, Associate Professor, UCL Department of Medical Physics and Biomedical Engineering</li>
</ul>
<p>&nbsp;</p>
<h4>Access profile</h4>
<p>This event will take place online.</p>
<p>A link to the event will be sent to you before the event start time.</p>
<p>Live captioning is available for this event.</p>
<p>We aim to make our events as inclusive as possible, so if you have any accessibility requirements or enquiries that are not covered in the above access profile please contact the events team at <a title="https://fms.education@ucl.ac.uk/" href="https://fms.education@ucl.ac.uk/" target="_blank" rel="nofollow noopener noreferrer" data-msys-clicktrack="0">fms.education@ucl.ac.uk</a>. If you could contact us allowing as much time as possible before the event we will be able to ensure where required that the appropriate measures are taken.</p>
</div>
</div>

URL:https://www.eventbrite.co.uk/e/ucl-world-cancer-day-public-lecture-tickets-1978821605691
ORGANIZER;CN=UCL Faculty of Medical Sciences:MAILTO:
CATEGORIES:Virtual
LOCATION:Online Event
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