| When |
Sep 24, 2018
from 08:30 AM to 06:00 PM |
|---|---|
| Where | St Catharine's College, Cambridge |
| Contact Name | Dr Katja Kivinen |
| Contact Phone | 01223 331504 |
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Cardiovascular SRI and Big Data SRI have joined forces to raise awareness of data-related challenges in cardiovascular research and to maximise collaborative opportunities between academic and clinical research groups in Cambridge.
This collaboration will be launched on Monday 24th September 2018 through a free research showcase event at St Catharine's College, and will be followed up in 2019 with a series of workshops supporting collaborations around specific research questions.
Confirmed speakers include researchers from the University of Cambridge, Wellcome Sanger Institute, Alan Turing Institute and the EPSRC CMIH.
We aim to connect everyone in the wider Cambridge area with interest in data collecting, management, and analysis. The main focus will be on cardiovascular research but the computational challenges and methods are applicable across healthcare and we welcome short talks and poster presentations that are not specific to cardiovascular field.
Registration
This is a free event but it is essential to register to reserve a seat in the McGrath Centre. Please contact Katja or Vicky if you have any questions about this event or if you have trouble registering.
Please register HERE by 15th September 2018.
Programme
08.30 – 09.00 Registration & Refreshments
09.00 – 09.10 Welcome – Prof Martin Bennett
09.10 – 09.50 Keynote: 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
10.30 – 11.00 Refreshments
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
12.30 – 13.30 Lunch
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
15.30 – 16.00 Refreshments
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 words – Prof Martin Bennett
16.50 – 18.00 Drinks reception
