BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Prediction of Mortality in Older People\, and Individualized Healt
 hspan-Promoting Interventions  - Professor Georg Fuellen\, Rostock Univers
 ity Medical Center\, Rostock\, Germany
DTSTART:20170223T111500Z
DTEND:20170223T114500Z
UID:TALK69828@talks.cam.ac.uk
CONTACT:Ilana Spilka
DESCRIPTION:In the first part of the talk\, we report the results of Cox r
 egression and Pearson correlation analyses using data of the Study of Heal
 th in Pomerania (SHIP)\, with mortality information of 1518 participants (
 113 of which died)\, over a time span of more than 10 years. While some of
  the Cox regression biomarkers were firmly established in many studies bef
 ore\, others align with an ”integrated albunemia” model of aging propo
 sed recently.\nAnalysis of existing longitidinal data is expected to yield
  biomarkers useful for future studies towards individualizing healthspan-p
 romoting interventions.\nInterventions in rhesus demonstrate that healthy 
 aging can be promoted. In the form of caloric restriction mimetics\, feasi
 ble diet and small-molecule interventions are now on the horizon. These in
 terventions must ultimately be combined in individualized ways. In turn\, 
 good (omics) biomarkers are needed. I will therefore discuss the specific 
 problems posed by trials for individualized healthspan-promoting intervent
 ions\, regarding the overall design\, choice of trial participants\, inter
 ventions\, endpoints and of the variables to be measured\, ranging from bl
 ood counts to omics data. A key question is how to single out the variable
 s that may qualify as the most useful biomarkers.
LOCATION:Online
END:VEVENT
END:VCALENDAR