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SUMMARY:The Potential of smartphones voice recordings to monitor depressio
 n severity - Nick Cummins\, Kings College London
DTSTART:20230207T160000Z
DTEND:20230207T170000Z
UID:TALK193696@talks.cam.ac.uk
CONTACT:Cecilia Mascolo
DESCRIPTION:Speech is a unique and rich health signal: no other signal con
 tains its singular combination of cognitive\, neuromuscular and physiologi
 cal information. However\, its highly personal and complex nature also mea
 ns that there are several significant challenges to overcome to build a re
 liable\, useful and ethical tool suitable for widespread use in health res
 earch and clinical practice. With hundreds of participants and over 18 mon
 ths of speech collection\, the Remote Assessment of Disease and Relapse in
  Major Depressive Disorder (RADAR-MDD) study incorporates one of the large
 st longitudinal speech studies of its kind. It offers a unique opportunity
  in speech-health research\, the investigation of throughout the entire da
 ta pipeline\, from recording through to analysis\, where gaps in our under
 standing remain. In this presentation\, I will describe how our voice is a
  tacit communicator of our health\, present initial speech analysis findin
 g from RADAR-MDD and discussion future challenges in relation to the trans
 lation of speech analysis into clinic practise.\n \nBio: Dr Nicholas (Nick
 ) Cummins is a Lecturer in AI for speech analysis for health at the Depart
 ment of Biostatistics and Health Informatics at King's College London. He 
 is also the Chief Science Officer for Thymia\, a start-up developing techn
 ologies to make mental health assessments faster\, more accurate and objec
 tive. Nick is fascinated by the application of machine learning techniques
  to improve our understanding of different health conditions. He is partic
 ularly interested in applying these techniques to mental health disorders.
LOCATION:FW26\, Computer Laboratory\, William Gates Building and Online
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