28 June 2013, UCL Bloomsbury Campus
Sponsored by CLMS, the Crick, and DataDirect Networks, the CLMS Symposium is a one-day event showcasing the role of information technology, including computer and computational sciences, across the broad range of life and medical (basic and clinical) sciences.
The diverse programme aims to highlight to researchers across UCL, UCL Partners and the Crick the breadth of multi-disciplinary research currently being undertaken in the fields of computational life and medical sciences and to illustrate the value of collaboration across these fields.
Big Data, IT Capabilities, and Applications in Healthcare
Chair: Prof Jim Smith, NIMR
Speakers: Prof John Deanfield, UCL
Innovative policy development based on cardiovascular (CV) outcomes research in registries [Abstract]
Phil Butcher, Wellcome Trust Sanger Institute, The Crick
Nanotechnology and Biomedical Engineering
Chair: Prof Quentin Pankhurst, UCL Institute of Biomedical Engineering
Speakers: Prof Gabriel Aeppli, London Centre for Nanotechnology
Dr Rebecca Shipley, UCL Institute of Biomedical Engineering
Mathematical Models of Blood Flow and Solute Transport in Vascular Tissues [Abstract]
Dr Miguel O. Bernabeu, UCL Centre for Computational Science, CoMPLEX
Progress towards an in silico framework for vascular mechanobiology research [Abstract]
Modelling and Simulation of Living Systems
Chair: Dr Richard Goldstein, NIMR
Speakers: Prof David Gavaghan, University of Oxford
Developing reliable software to enable computational modelling of living systems [Abstract]
Dr Franca Fraternali, King’s College London
Insights into Structure Properties of Protein Complexes and Impact of Gene Variants [Abstract] [Presentation]
Abbygail Shaw, UCL CoMPLEX
Modelling fibroblast dependent wound healing and scarring in the injured heart [Abstract]
Synthetic and Systems Biology
Chair: Prof Nicholas Harrison, Imperial College London and Dr Buzz Baum, UCL
Panellists: Prof David Gavaghan, University of Oxford; Prof Andrew Oates, UCL, NIMR; Prof Michael Stumpf, Imperial College London
Presentations: [D.Gavaghan] [M.Stumpf]
Biological systems range from the molecular scale all the way to whole ecosystems; systems biology aims to provide a comprehensive view of the constituent parts and interactions in naturally evolved systems. Convenience and necessity often dictate at which scale systems are described: molecular, cellular and physiological systems have received particular attention but are, in reality, tightly interlinked and feed back onto one another. However, on each scale the aims are similar: to gain mechanistic understanding of biological processes and develop the ability to predict the behaviour of such systems.
Synthetic biology, by contrast, sets out to develop rationally engineered biological systems that can fulfil certain desirable functions. Synthetic biology builds on systems biology and combines it with engineering principles and, hence many challenges are shared between the two disciplines.
In this session we will discuss the challenges that arise in developing predictive and quantitative mathematical and computational models of biological systems, and the additional challenge of using these models to address applications in synthetic biology.
Next Generation Technologies
Chair: Dr Jacky Pallas, UCL
Panellists: Dr Mike Hubank, UCL Institute of Child Health; Dr Kostas Thalassinos, UCL Institute of Structural and Molecular Biology; Dr Alan Lowe, UCL Institute of Structural and Molecular Biology; Dr Janos Kriston-Vizi, MRC Laboratory of Molecular and Cell Biology, UCL
Presentations: [J.Kriston-Vizi] [K.Thalassinos]
Recent advances in DNA sequencing, mass spectrometry, super-resolution microscopy and high content imaging have all contributed to the explosion of data generated by researchers. New techniques require new software tools to collect, analyse and manage the data. Often the researchers developing new equipment also need to create the new software or collaborate with informaticians and computer scientists.
This session will explore how new technologies in life and medical science present new and significant challenges for researchers generating large amounts of data who require new methods of analysis.
Reliable, efficient, and readable software in the life and medical sciences
Chair: Dr James Hetherington, UCL
Panellists: Dr James Osborne, University of Oxford; Tim Booth, NERC Centre for Ecology and Hydrology; Dr Matt Clarkson, UCL Centre for Medical Image Computing
Presentations: [J.Osborne] [T.Booth] [M.Clarkson]
Despite increasing reliance on software in research, software created in research institutions often exhibits a number of characteristic flaws. Computational research tools are often fragile, of uncertain reliability, generally not sustainable or usable beyond the lifetime of a given project, and frequently hard for other researchers to read and understand. Institutions miss out on opportunities to increase the impact of their research by producing robust software deliverables that could be used and cited by their peers.
In this session, we will discuss processes and tools which help create successful, sustainable software for research in the life and medical sciences, discuss what can go wrong, and consider plans for how things can improve.
The Future of Personalised Medicine: Policy and Practice
Chair: Dr Barbara Prainsack, King's College London
Panellists: Dr Ingrid Geesink, Rathenau Instituut; Prof John Abraham, King's College London; Dr Jack Stilgoe, UCL
Presentations: [R.Kanso] [I.Geesink] [J.Abraham]
Although the term personalised medicine is used differently across disciplines and context of practice (and other terms – such as precision medicine, or stratified medicine – are used to refer to refer to some of the same imperatives and practices), in its most inclusive definition, personalised medicine signifies the consideration of individual characteristics – molecular or otherwise – at all stages of medicine, prevention, diagnosis, treatment, monitoring. The risks and benefit, the costs, and the societal and regulatory implications of personalised medicine are a much discussed subject. However, because personalised medicine is a broad umbrella for a wide variety of practices and technologies, assessing these factors cannot be done in abstract terms; it requires a detailed analysis of concrete cases, from which lessons for the larger domain can then be drawn.
Our session seeks to identify , and possibly address, some of the most pressing policy-challenges related to concrete instances of personalisation in health and medicine.
Start time: Fri, 28/06/2013 - 09:00
End time: Fri, 28/06/2013 - 18:30