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Learning deep representations of cancer tissue…
Speaker: Ke Yuan, University of Glasgow Abstract: Definitive cancer diagnosis and management depend upon the extraction of information from histology images by…Learning deep representations of cancer tissue without supervision by Ke Yuan, University of Glasgow
From Isabelle Hanlon
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Speaker: Joshua Dibble, Harvard Medical School Abstract: Myalgic Encephalomyelitis (ME), Post-acute Sequelae of SARS-CoV-2 (Long Covid), and fibromyalgia are…
Investigating Post-Viral Diseases using the All…
From Isabelle Hanlon
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Speaker: Joe Mellor, University of Edinburgh Usher Institute Abstract: In Scotland, all people with diabetes aged 12 and upwards are offered regular screening…
Deep learning applied to fundus images from the…
From Isabelle Hanlon
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Speaker: Professor Kenneth Baillie, Personal Chair of Experimental Medicine, University of Edinburgh Abstract: Most drugs work by targeting specific proteins in…
Functional Genomics for drug target…
From Isabelle Hanlon
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Speaker: William McCorkindale, CharmX Abstract: In the wake of the landmark achievements of AlphaFold, the field of protein modelling is experiencing a…
Beyond AlphaFold The Next Wave of ML Innovations…
From Isabelle Hanlon
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Speaker: Amir Vaxman, University of Edinburgh Abstract: I will introduce the problem of 3D shape reconstruction from cross-sections, which in prevalent…
Reconstruction from Cross-Sections by Amir…
From Isabelle Hanlon
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Speaker: Matteo Degiacomi, University of Durham Abstract: Determining the different conformational states of a protein and the transition paths between them is…
Generative Neural Networks vs Protein…
From Isabelle Hanlon
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Speakers: Michelle Williams, University of Edinburgh and Danny Ruta, Guy's Cancer Centre, London Abstract: Following a series of high profile…
Regulation and Standards in the Safe and Ethical…
From Isabelle Hanlon
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Speaker: Didier Devaurs, University of Edinburgh Abstract: Protein interactions are often associated with changes in a protein's conformation. Studying…
A Tale of Two Strategies to Efficiently Explore…
From Isabelle Hanlon
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Abstract: Many problems in healthcare are funding, governance or management problems that can’t be solved solely by the introduction of artificial…
Technology Won’t Solve It: Perspectives on…
From Isabelle Hanlon
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Speaker: Rob Procter, University of Warwick Abstract: The need for AI systems to provide explanations for their behaviour is now widely recognised as key to their…
Holding AI to Account: Challenges for the…
From Isabelle Hanlon
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Examining patient perspectives on artificial… 12 of 15
Examining patient perspectives on artificial…
Examining patient perspectives on artificial…
Speakers: Flora Lysen and Sally Wyatt (Maastricht University) Abstract: Presentation of research examining patient perspectives on artificial intelligence (AI) in…Examining patient perspectives on artificial intelligence in health care Sally Wyatt and Flora Lysen
From Isabelle Hanlon
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This workshop covers the basics of Inkscape as well as several of its more advanced features that are useful for making scientific figures. Topics covered: -…
Creating Scientific Figures in Inkscape
From Isabelle Hanlon
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Speaker: Pekka Marttinen, Aalto University. Abstract: Accurately predicting the need for healthcare services is important, to allocate the limited resources…
Predicting the usage of healthcare services using…
From Isabelle Hanlon
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Speaker: Brian Arnold, Senior Data Scientist, Princeton University. Abstract: As tumors expand, they evolve via the accumulation of copy-number aberrations (CNAs;…
Learning mixtures and DNA copy-numbers from bulk…
From Isabelle Hanlon
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