59 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of EdinburghGB10 papers
- Institute of Genetics and CancerGB6 papers
- University of StrathclydeGB2 papers
- Canadian Cancer SocietyCA1 paper
- Centre Hospitalier de l’Université de MontréalCA1 paper
- Centro de Investigación Biomédica en Red de Salud MentalES1 paper
- Chalmers University of TechnologySE1 paper
- Charité - Universitätsmedizin BerlinDE1 paper
- Children's Hospital of Eastern OntarioCA1 paper
- Consorci Institut D'Investigacions Biomediques August Pi I SunyerES1 paper
- Departament de SalutES1 paper
- Deutsches Elektronen-Synchrotron DESYDE1 paper
12 papers
Transfer Learning and Machine Learning for Training Five Year Survival Prognostic Models in Early Breast Cancer
Lisa Pilgram, Kai Yang, Ana-Alicia Beltran-Bless +22
Prognostic information is essential for decision-making in breast cancer management. Recently trials have predominantly focused on genomic prognostication tools, even though clinic…
Bridging-Induced Phase Separation and Loop Extrusion Drive Noise in Chromatin Transcription
Michael Chiang, Cleis Battaglia, Giada Forte +3
Transcriptional noise, or heterogeneity, is important in cellular development and in disease. The molecular mechanisms driving it are, however, elusive and ill-understood. Here, we…
Observation of quantum effects on radiation reaction in strong fields
Eva E. Los, Elias Gerstmayr, Christopher Arran +28
Radiation reaction, the force experienced by an accelerated charge due to radiation emission, has long been the subject of extensive theoretical and experimental research. Experime…
Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning
Filippo Corponi, Bryan M. Li, Gerard Anmella +13
Personal sensing, leveraging data passively and near-continuously collected with wearables from patients in their ecological environment, is a promising paradigm to monitor mood di…
Open and reusable deep learning for pathology with WSInfer and QuPath
Jakub R. Kaczmarzyk, Alan O'Callaghan, Fiona Inglis +5
The field of digital pathology has seen a proliferation of deep learning models in recent years. Despite substantial progress, it remains rare for other researchers and pathologist…
Topological Linking Determines Elasticity in Limited Valence Networks
Giorgia Palombo, Simon Weir, Davide Michieletto +1
Understanding the relationship between the microscopic structure and topology of a material and its macroscopic properties is a fundamental challenge across a wide range of systems…
Discrete fragmentation equations with time-dependent coefficients
Lyndsay Kerr, Wilson Lamb, Matthias Langer
We examine an infinite, linear system of ordinary differential equations that models the evolution of fragmenting clusters, where each cluster is assumed to be composed of identica…
Three-Dimensional Loop Extrusion
Andrea Bonato, Davide Michieletto
Loop extrusion convincingly describes how certain Structural Maintenance of Chromosome (SMC) proteins mediate the formation of large DNA loops. Yet, most of the existing computatio…
Topological digestion drives time-varying rheology of entangled DNA fluids
Davide Michieletto, Philip Neill, Simon Weir +4
Understanding and controlling the rheology of polymeric complex fluids that are pushed out-of-equilibrium is a fundamental problem in both industry and biology. For example, to pac…
Gluing resource proof-structures: inhabitation and inverting the Taylor expansion
Giulio Guerrieri, Luc Pellissier, Lorenzo Tortora de Falco
A Multiplicative-Exponential Linear Logic (MELL) proof-structure can be expanded into a set of resource proof-structures: its Taylor expansion. We introduce a new criterion charact…
Wide-Field Multiphoton Imaging Through Scattering Media Without Correction
Adrià Escobet-Montalbán, Roman Spesyvtsev, Mingzhou Chen +5
Optical approaches to fluorescent, spectroscopic, and morphological imaging have made exceptional advances in the last decade. Super-resolution imaging and wide-field multiphoton i…
Polyquant CT: direct electron and mass density reconstruction from a single polyenergetic source
Jonathan H. Mason, Alessandro Perelli, William H. Nailon +1
Quantifying material mass and electron density from computed tomography (CT) reconstructions can be highly valuable in certain medical practices, such as radiation therapy planning…