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SUMMARY:Vocal biomarkers for minimally disruptive clinical research: how t
 o get there? - Guy Fagherazzi\, Luxembourg Institute of Health
DTSTART:20240227T160000Z
DTEND:20240227T170000Z
UID:TALK203737@talks.cam.ac.uk
CONTACT:Cecilia Mascolo
DESCRIPTION:ABSTRACT: In my presentation\, I will explore the area of voca
 l biomarkers and their impact on clinical 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 been using AI methods and audio signal processing to study 
 voices for health insights. I will present some key findings and examples 
 of how these biomarkers work.\nI will also explain how vocal biomarkers ca
 n make clinical research more digital and focused on patients' needs while
  reducing the effort needed from participants. I will also discuss several
  challenges we need to address. These include the need for better quality 
 data\, overcoming inconsistencies in AI research\, avoiding biases in the 
 data used for training AI models and figuring out the best ways to use the
 se technologies in actual healthcare and research settings. I will discuss
  these issues and suggest ways to tackle them\, aiming to improve healthca
 re through personalized and effective methods.\n\n\nBIO: Guy Fagherazzi is
  the Director of the Department of Precision Health (DOPH) at the Luxembou
 rg Institute of Health (LIH)\, which is composed of 11 units dedicated to 
 epidemiology\, biomarker\, and clinical research.\nHe is the Head of the D
 eep Digital Phenotyping Research Unit\, a multidisciplinary research lab a
 t LIH where they 1) develop AI-based digital and vocal biomarkers for remo
 te patient monitoring and 2) conduct data-driven digital phenotyping resea
 rch using large cohort studies and online data to improve the understandin
 g of the impact of various chronic diseases (diabetes\, mental health\, ca
 ncer\, Long COVID...) on the daily lives of patients and populations.\nGoo
 gle Scholar Profile: https://scholar.google.com/citations?user=EKz0WDUAAAA
 J&hl=fr
LOCATION:Computer Lab\, FW26 and Online
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