We regret to have to cancel this event due to restrictions caused by measures taken to combat the spread of COVID-19, it will be re-arranged as soon as conditions allow.
Free registration through Eventbrite: http://tiny.cc/7qwujz.
12.00 – Lunch
12.50 – Welcome – Dr Ray Kent, RVC
13.00 – Knowledge Exchange addresses: [to be confirmed]
13.30 – Facilitated roundtable discussion
14.00 – Dr Mattia Pirolo – “Big data analysis to identify innovative solutions for combating respiratory disease and reducing antimicrobial use in beef cattle”.
14.20 – Dr Michael Delves, Dr Rajat Dhawan, Dr Maurizio Gioli, Dr Edgar Whitley “Phenotype Image Data and Digital Learning Innovation (PhIDDLI)”.
14.40 – Tea/coffee break
15.00 – Dr David Brodbelt, Dr Noel Kennedy, Dr Dan O’Neill, Prof David Church, Dr Sam Clifford: “’Every dog has its data’. Canine Leptospirosis: Machine learning methods for VetCompass and laboratory data linkage”.
15.15 – Dr Jody Phelan, Dr Gary Napier, Dr Ruby Chang, Dr Martin Walker – “Building automated genomics data curation and collection pipeline”
15.30 – Martin Walker, Dr Jody Phelan, Dr Julia Halder – “Predicting treatment outcomes for neglected tropical diseases”.
15.50 – Questions and Close – Dr Ray Kent, RVC
Please register through Eventbrite by Tuesday 14 April 2020: http://tiny.cc/7qwujz.
All Bloomsbury SET grant holders, their teams, collaborators and potential knowledge exchange partners are welcome to attend. However we would like to limit the number of student places to about 20% of the total.
This is one of a series of four Symposia presenting the Knowledge Exchange projects supported by The Bloomsbury SET:
– Diagnostics Symposium, held on 10 December 2019, at the Crowne Plaza Hotel, Kings Cross;
– Public Health Responses Symposium, to be held on 5 March 2020 at the Radisson Blue Hotel, Bloomsbury;
– ‘Big Data’ Modelling Symposium, to be held on 21 April 2020 at Friends House, Euston; and
– Vaccines Symposium, to be held on 23 April 2020 at the Radisson Blu Hotel, Bloomsbury (postponed from 9 January).
For more information