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Joint BTS/BALR Symposium: Respiratory Research (Part 1)

Pioneering new frontiers in respiratory research: the big data revolution

DAY 1

Chaired by: Dr Manuela Plate (London) and Dr Kirsty McGee (Birmingham)

9:00am  -  The power of data integration to progress medical research: lessons from outside the lung
Professor John Terry (Plymouth)

9:30 am  -  Applying AI and deep learning to detect lung disease
Professor Liangxiu Han (Manchester)

10:00am  -  Single cell spatial biology reveals early immune events in lung disease
Professor Ling-Pei Ho (Oxford))

9:00 AM

90 MINUTE SESSION
Joint BTS/BALR Symposium: Respiratory Research (Part 1)

Learning objectives

  1. Understand the power of data integration across technologies with mathematical modelling to progress translational medical research.
  2. Recognise the power of AI and deep learning applications in the diagnosis, monitoring and prediction of chronic respiratory diseases.
  3. Understand how we use new big data techniques in discovering what matters for patients – defining early immune events means possible therapeutic targets.