Mon, 24 Sep 2018 8:30 AM - 6:00 PM
Cardiovascular disease is the biggest killer in the world, causing nearly 18 million deaths per year. Healthcare systems around the world are struggling with the increased disease burden caused by lifestyle factors and the aging populations, and new ways are urgently needed to guide disease prevention, to improve disease detection and diagnosis, and to monitor and manage diseases. Common to all of the above focus areas is the large amount of data produced.
Big Data SRI and Cardiovascular SRI have joined forces to raise awareness of the types of data-related challenges in cardiovascular research and to maximise collaborative opportunities between clinical and computational research groups in Cambridge.
This collaboration will be launched on Monday 24th September 2018 at St Catharine's College through a free, full-day research showcase event, and will be followed up in 2019 with a series of smaller workshops supporting collaborations around specific research questions.
We will host a mixture of long (25min) and short (10min) talks with extended breaks between sessions to allow time for discussions.
Registration
Registration for this event is now closed.
Programmme
| Time | Session | Presentation |
| 08:30 - 09:00 | Registration and Refreshments | |
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Session 1 - Chair: TBC |
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| 09:00 - 09:10 | Welcome | Prof Martin Bennett |
| 09:10 - 09:50 | Keynote: TBC | Dr Brian Ference |
| 09:50 - 10:15 | Landmark models for optimizing the use of repeated measurements of risk factors in electronic health records to predict future disease risk | Dr Angela Wood |
| 10:15 - 10:30 | Combining evidence from multiple data sources within a discrete event simulation for decision modelling: should we screen women for abdominal aortic aneurysm? | Dr Michael Sweeting |
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| 10:30 - 11:00 | Morning Tea and Coffee | |
| Session 2 - Chair: TBC | ||
| 11:00 - 11:25 | Imaging human cardiac metabolism by ultra-high field (T7) MRI | Prof Chris Rodgers |
| 11:25 - 11:50 | Deep learning-based segmentation of CV images | Prof Pietro Lio |
| 11:50 - 12:10 | Atherosclerosis vulnerability assessment | Dr Zhongzhao Teng |
| 12:10 - 12:30 | Compressed sensing meets motion: towards improving highly undersampled MR image reconstruction | Dr Angelica Aviles-Rivero |
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| 12:30 - 13:30 | Lunch | |
| Session 3 - Chair: TBC | ||
| 13:30 - 13:55 | Finite element simulations to predict valve durability | Dr Marta Serrani |
| 13:55 - 14:20 | Single-cell genomics analysis of muscle development | Dr Hongbo Zhang |
| 14:20 - 14:45 | Exploring the genetic architecture of complex traits to understand disease risk | Dr Dragana Vuckovic |
| 14:45 - 15:00 | Improving predictive modelling of CV events with unstructured data | Mr Joydeep Sarkar |
| 15:00 - 15:15 | Human mitochondrial DNA variants in cardiometabolic traits | Dr Ekaterina Yonova-Doing |
| 15:15 - 15:30 | Genomics of lipid metabolism and the effect of perturbations of lipid levels on CHD risk | Dr Eric Harshfield |
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| 15:30 - 16:00 | Afternoon Tea and Coffee | |
| Session 4 - Chair: TBC | ||
| 16:00 - 16:40 | Keynote: Machine learning for medicine: Predicting, pre-empting and treating disease | Prof Mihaela van der Schaar |
| 16:40 - 16:50 | Closing Remarks | Prof Martin Bennett |
| 16:50 - 18:00 | Drinks Reception & Networking | |
This event is jointly organised by the Cambridge Big Data Strategic Research Initiativeand Cardiovascular Strategic Research Initiative with support from the Isaac Newton Trust.
