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DTSTART:19700329T010000
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CATEGORIES:Mobile and Wearable Health Seminar Series
SUMMARY:Vocal biomarkers for minimally disruptive clinical
  research: how to get there? - Guy Fagherazzi\, Lu
 xembourg Institute of Health
DTSTART;TZID=Europe/London:20240227T160000
DTEND;TZID=Europe/London:20240227T170000
UID:TALK203737AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/203737
DESCRIPTION:ABSTRACT: In my presentation\, I will explore the 
 area of vocal biomarkers and their impact on clini
 cal research. Vocal biomarkers rely on changes in 
 our voice\, caused by different health conditions\
 , to help screen and monitor patients. At the Deep
  Digital Phenotyping Research Unit\, my team has b
 een using AI methods and audio signal processing t
 o study voices for health insights. I will present
  some key findings and examples of how these bioma
 rkers work.\nI will also explain how vocal biomark
 ers can make clinical research more digital and fo
 cused on patients' needs while reducing the effort
  needed from participants. I will also discuss sev
 eral challenges we need to address. These include 
 the need for better quality data\, overcoming inco
 nsistencies in AI research\, avoiding biases in th
 e data used for training AI models and figuring ou
 t the best ways to use these technologies in actua
 l healthcare and research settings. I will discuss
  these issues and suggest ways to tackle them\, ai
 ming to improve healthcare through personalized an
 d effective methods.\n\n\nBIO: Guy Fagherazzi is t
 he Director of the Department of Precision Health 
 (DOPH) at the Luxembourg Institute of Health (LIH)
 \, which is composed of 11 units dedicated to epid
 emiology\, biomarker\, and clinical research.\nHe 
 is the Head of the Deep Digital Phenotyping Resear
 ch Unit\, a multidisciplinary research lab at LIH 
 where they 1) develop AI-based digital and vocal b
 iomarkers for remote patient monitoring and 2) con
 duct data-driven digital phenotyping research usin
 g large cohort studies and online data to improve 
 the understanding of the impact of various chronic
  diseases (diabetes\, mental health\, cancer\, Lon
 g COVID...) on the daily lives of patients and pop
 ulations.\nGoogle Scholar Profile: https://scholar
 .google.com/citations?user=EKz0WDUAAAAJ&hl=fr
LOCATION:Computer Lab\, FW26 and Online
CONTACT:Cecilia Mascolo
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