BEGIN:VCALENDAR PRODID:-//eluceo/ical//2.0/EN VERSION:2.0 CALSCALE:GREGORIAN BEGIN:VEVENT UID:7da88aa14826985a5333806dc6e35af7 DTSTAMP:20240413T094832Z SUMMARY:Multi-scale and multi-resolution models as an integrated tool in e xperimental biology: applications to diabetes and its complications DESCRIPTION:I will present examples of how we have used new and rapidly evo lving approaches to mathematical modelling and systems biology to learn th ings from data that could not have been learned otherwise. The key feature with our modelling is that we combine small-scale mechanistic minimal mod els and hypothesis testing - which we use to learn details and mechanisms - with large-scale multi-level and multi-resolution models\, which are use d to get a comprehensive and useful description of the systems as a whole. We have used this approach to unravel the mechanisms of insulin resistanc e in human adipocytes\, and we are now embedding these models in a big mod el that incorporates all 15000 phosphorylation sites that respond to insul in. That cell-level model also links to the whole-body level\, and to long -term disease progression and drug effects. We have also use this modellin g to aid clinical research\, e.g. for diagnosis of liver diseases and for predicting the risk of heart attacks. We therefore use modelling both to f urther the basic biological understanding\, and to make a difference for r eal end-usage in clinic and pharma. The talk is intended to be understanda ble and of interest both for biologists\, clinicians\, and mathematicians. URL: DTSTART:20150603T100000 DTEND:20150603T100000 LOCATION:Seminarraum Alexander Fleming\, HKI-Center for Systems Biology of Infection END:VEVENT BEGIN:VTIMEZONE TZID:Europe/Berlin BEGIN:DAYLIGHT DTSTART:20150603T100000 TZNAME:CEST TZOFFSETTO:+0200 TZOFFSETFROM:+0200 END:DAYLIGHT END:VTIMEZONE END:VCALENDAR