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X-WR-CALNAME:Biomedical Mathematics Group
X-ORIGINAL-URL:https://www.ibs.re.kr/bimag
X-WR-CALDESC:Events for Biomedical Mathematics Group
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BEGIN:VTIMEZONE
TZID:Asia/Seoul
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TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:KST
DTSTART:20220101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20230315T160000
DTEND;TZID=Asia/Seoul:20230315T170000
DTSTAMP:20260425T185111
CREATED:20230213T105947Z
LAST-MODIFIED:20230312T051759Z
UID:7324-1678896000-1678899600@www.ibs.re.kr
SUMMARY:Julio Saez-Rodriguez\, Dynamic logic models complement machine learning for personalized medicine
DESCRIPTION:Abstract: \nMulti-omics technologies\, and in particular those with single-cell and spatial resolution\, provide unique opportunities to study the deregulation of intra- and inter-cellular signaling processes in disease. I will present recent methods and applications from our group toward this aim\, focusing on computational approaches that combine data with biological knowledge within statistical and machine learning methods. This combination allows us to increase both the statistical power of our analyses and the mechanistic interpretability of the results. These approaches allow us to identify key processes\, that can be in turn studied in detailed with dynamic mechanistic models. I will then present how cell-specific logic models\, trained with measurements upon perturbations\, can provides new biomarkers and treatment opportunities. Finally\, I will show how\, using novel microfluidics-based technologies\, this approach can also be applied directly to biopsies\, allowing to build mechanistic models for individual cancer patients\, and use these models to prose new therapies.
URL:https://www.ibs.re.kr/bimag/event/dynamic-logic-models-complement-machine-learning-for-personalized-medicine/
LOCATION:ZOOM ID: 997 8258 4700 (Biomedical Mathematics Online Colloquium)\, (pw: 1234)
CATEGORIES:Biomedical Mathematics Online Colloquium
ATTACH;FMTTYPE=image/jpeg:https://www.ibs.re.kr/bimag/cms/wp-content/uploads/2023/02/SAEZ_Rodriguez_Julio_March_2014-copy-e1508925747488.jpeg
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
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