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SUMMARY:SciBar : Digital Medicine - Dr Eiko Yoneki and Dr Ali Dariush
DTSTART:20160712T180000Z
DTEND:20160712T193000Z
UID:TALK66796@talks.cam.ac.uk
CONTACT:Vasee
DESCRIPTION:Title: Digital Epidemiology: Modelling of Epidemic Spread usin
 g Human Mobility Data\n\nSpeaker: Dr Eiko Yoneki\n\nRespiratory and other 
 close-contact infectious diseases\, such as TB\, measles and pneumonia are
  major killers in much of the developing world. Understanding how the dise
 ases spread and identifying how best to control them can be tackled by mat
 hematically modelling their spread. Although central to the models\, few q
 uantitative data are available on relevant contact patterns\, and no study
  to measure these factors has yet been attempted in rural Africa. I will d
 escribe a desirable plan of pilot project to collect human mobility data u
 sing RFID sensors\, Raspberry Pis and mobile-phones\, recording proximity\
 , to gather information on human interactions in rural and urban African c
 ommunities.\n\n\n\nTitle: Computer Vision and Machine Learning : An applic
 ation in digital pathology\n\nSpeaker: Dr Ali Dariush\n\nDigital pathology
  is rapidly becoming popular worldwide. It not only helps to understand th
 e nature of the disease through the analysis of tissue-based images but al
 so advances our statistical knowledge of the disease-related factors via h
 igh throughput analysis of the imaging data. Here I briefly explain how co
 mputer vision and machine learning can help to address some of the key que
 stions in digital pathology.
LOCATION:YHA\, 97 Tenison Rd\, Cambridge CB1 2DN
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