Search for tag: "cdt"

Learning deep representations of cancer tissue without supervision by Ke Yuan, University of Glasgow

Speaker: Ke Yuan, University of Glasgow Abstract: Definitive cancer diagnosis and management depend upon the extraction of information from histology images by pathologists. These images…

From  Isabelle Hanlon 0 likes 2 plays 0  

Investigating Post-Viral Diseases using the All of Us and MassGeneral Brigham Databases by Joshua Dibble, Harvard Medical School

Speaker: Joshua Dibble, Harvard Medical School Abstract: Myalgic Encephalomyelitis (ME), Post-acute Sequelae of SARS-CoV-2 (Long Covid), and fibromyalgia are examples of post-acute disease…

From  Isabelle Hanlon 0 likes 1 plays 0  

Deep learning applied to fundus images from the Scottish Diabetic Retinopathy Screening programme by Joe Mellor, University of Edinburgh

Speaker: Joe Mellor, University of Edinburgh Usher Institute Abstract: In Scotland, all people with diabetes aged 12 and upwards are offered regular screening in which a single-field image…

From  Isabelle Hanlon 0 likes 7 plays 0  

Functional Genomics for drug target identification by Professor Kenneth Baillie, University of Edinburgh

Speaker: Professor Kenneth Baillie, Personal Chair of Experimental Medicine, University of Edinburgh Abstract: Most drugs work by targeting specific proteins in the body, but for most…

From  Isabelle Hanlon 0 likes 10 plays 0  

Beyond AlphaFold The Next Wave of ML Innovations in Protein Modelling by William McCorkindale, CharmX

Speaker: William McCorkindale, CharmX Abstract: In the wake of the landmark achievements of AlphaFold, the field of protein modelling is experiencing a proliferation of novel…

From  Isabelle Hanlon 0 likes 36 plays 0  

Reconstruction from Cross-Sections by Amir Vaxman, University of Edinburgh

Speaker: Amir Vaxman, University of Edinburgh Abstract: I will introduce the problem of 3D shape reconstruction from cross-sections, which in prevalent in medical imaging as well as…

From  Isabelle Hanlon 0 likes 6 plays 0  

Generative Neural Networks vs Protein Conformational Spaces by Matteo Degiacomi, University of Durham

Speaker: Matteo Degiacomi, University of Durham Abstract: Determining the different conformational states of a protein and the transition paths between them is key to fully understanding the…

From  Isabelle Hanlon 0 likes 21 plays 0  

Regulation and Standards in the Safe and Ethical Adoption of AI Systems in Healthcare by Michelle Williams, University of Edinburgh and Danny Ruta, Guy’s Cancer Centre, London

Speakers: Michelle Williams, University of Edinburgh and Danny Ruta, Guy's Cancer Centre, London Abstract: Following a series of high profile commercial and research developments such…

From  Isabelle Hanlon 0 likes 17 plays 0  

A Tale of Two Strategies to Efficiently Explore the Conformational Space of Molecular Systems by Didier Devaurs, University of Edinburgh

Speaker: Didier Devaurs, University of Edinburgh Abstract: Protein interactions are often associated with changes in a protein's conformation. Studying this structure-function…

From  Isabelle Hanlon 0 likes 5 plays 0  

Technology Won’t Solve It: Perspectives on Medical AI from STS by Danya Glabau, NYU Tandon School of Engineering

Abstract: Many problems in healthcare are funding, governance or management problems that can’t be solved solely by the introduction of artificial intelligence (AI) or other automated,…

From  Isabelle Hanlon 0 likes 20 plays 0  

Holding AI to Account: Challenges for the Delivery of Trustworthy AI in Healthcare by Rob Procter 13 January 2023

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 adoption. In this paper,…

From  Isabelle Hanlon 0 likes 8 plays 0  

Examining patient perspectives on artificial intelligence in health care Sally Wyatt and Flora Lysen

Speakers: Flora Lysen and Sally Wyatt (Maastricht University) Abstract: Presentation of research examining patient perspectives on artificial intelligence (AI) in health care. (How) can and should…

From  Isabelle Hanlon 0 likes 16 plays 0  

Git, The basics and beyond Part 1

Two part series, by Anna Hadjitofi, providing an intro to Git, designed for the Biomedical AI PhD CDT cohort, University of Edinburgh (Jan-Feb 2023).Anna is a third year PhD student in the School…

From  Isabelle Hanlon 0 likes 10 plays 0  

Git, The basics and beyond part 2

The goal of the tutorials is to provide you with a solid understanding of Git, to cover the most important usage patterns and to introduce you to some advanced features. Anna is a third…

From  Isabelle Hanlon 0 likes 11 plays 0  

Creating Scientific Figures in Inkscape

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: - Shape and text manipulation and…

From  Isabelle Hanlon 0 likes 45 plays 0  

Predicting the usage of healthcare services using neural networks and nationwide healthcare register data

Speaker: Pekka Marttinen, Aalto University. Abstract: Accurately predicting the need for healthcare services is important, to allocate the limited resources fairly and efficiently. In this…

From  Isabelle Hanlon 0 likes 17 plays 0