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X-WR-CALDESC:Events for Biomedical Mathematics Group
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DTSTART;TZID=Asia/Seoul:20250903T160000
DTEND;TZID=Asia/Seoul:20250903T170000
DTSTAMP:20260501T103345
CREATED:20250826T002752Z
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SUMMARY:Weak form SciML in the Life Sciences: The Weak Form is Stronger than you Think - David Bortz
DESCRIPTION:Abstract \nThe creation and inference of mathematical models is central to modern scientific discovery in the life sciences. As more realism is demanded of models\, however\, the conventional framework of biology-guided model proposal\, discretization\, parameter estimation\, and model refinement becomes unwieldy\, expensive\, and computationally daunting. Recent advances in Weak form-based Scientific Machine Learning (WSciML) allow for the creation and inference of interpretable models directly from data via advanced numerical functional analysis\, computational statistics\, and numerical linear algebra techniques. This class of methods completely bypasses the need for forward-solve numerical discretizations and yields both parsimonious mathematical models and efficient parameter estimates. These methods are orders of magnitude faster and more accurate than traditional approaches and far more robust to the high noise levels common to data in the biological sciences. The combination of these features in a single framework provides a compelling alternative to both traditional modeling approaches as well as modern black-box neural networks. In this talk\, I will present our weak form approach\, describing our equation learning (WSINDy) and parameter estimation (WENDy) algorithms. I will demonstrate these performance properties via applications to several canonical problems in structured population modeling\, cell migration\, and mathematical epidemiology.
URL:https://www.ibs.re.kr/bimag/event/weak-form-sciml-in-the-life-sciences-the-weak-form-is-stronger-than-you-think-david-bortz/
LOCATION:ZOOM ID: 997 8258 4700 (Biomedical Mathematics Online Colloquium)\, (pw: 1234)
CATEGORIES:Biomedical Mathematics Online Colloquium
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ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
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DTSTART;TZID=Asia/Seoul:20250924T160000
DTEND;TZID=Asia/Seoul:20250924T170000
DTSTAMP:20260501T103345
CREATED:20250826T002622Z
LAST-MODIFIED:20250924T005005Z
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SUMMARY:Sleep as part of the 24-hour day: Methods and Applications in Oncology - Joshua Wiley
DESCRIPTION:Abstract \nSleep is commonly analysed as an independent factor. However\, because of the 24-hour constraints on a day\, changes in sleep will co-occur with changes in remaining time use. This talk introduces compositional data analysis (CoDA) for sleep research. CoDA is illustrated using 24-hour sleep and activity data from accelerometry\, first cross-sectionally showing associations between sleep and activity with daily emotions. Next\, CoDA is extended to multilevel models\, which commonly occur in sleep research as sleep across multiple days. A Bayesian implementation in R using the new multilevelcoda package is presented and results of a simulation study discussed. Multilevel CoDA is used to analyse how nightly sleep architecture\, collected via at home EEG\, predicts next day affect. CoDA solves a common constraint in sleep research with sleep stages that time in all stages sums to total sleep.
URL:https://www.ibs.re.kr/bimag/event/tbd-joshua-wiley/
LOCATION:ZOOM ID: 997 8258 4700 (Biomedical Mathematics Online Colloquium)\, (pw: 1234)
CATEGORIES:Biomedical Mathematics Online Colloquium
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ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
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