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X-ORIGINAL-URL:https://www.ibs.re.kr/bimag
X-WR-CALDESC:Events for Biomedical Mathematics Group
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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:20230303T110000
DTEND;TZID=Asia/Seoul:20230303T120000
DTSTAMP:20260529T062630
CREATED:20230213T110430Z
LAST-MODIFIED:20230227T013418Z
UID:7331-1677841200-1677844800@www.ibs.re.kr
SUMMARY:Shinya Kuroda\, Systems Biology of Insulin Action
DESCRIPTION:Abstract: \n1. The “temporal information code” of insulin action: a bottom-up approach One of the essential elements of signaling networks is to encode information from a wide variety of inputs into a limited set of molecules. We have proposed a “temporal information code” that regulates a variety of physiological functions by encoding input information in temporal patterns of molecular activity\, and based on this concept\, we are analyzing biological homeostasis by insulin signaling. Taking blood insulin as an example\, we will explain how the temporal information of blood insulin is selectively decoded by downstream networks. \n2. Transomics of insulin action: a top-down approach In order to obtain a complete picture of insulin action\, we performed transomics measurements integrating metabolomics and transcriptomics\, and found that metabolism is regulated by allosteric regulation in the liver of normal mice and by compensatory gene expression in the liver of obese mice. (Top-down approach). I will talk about approach the principle of homeostasis of living organisms by temporal patterns\, using the analysis of systems biology of insulin action using two different approaches.
URL:https://www.ibs.re.kr/bimag/event/systems-biology-of-insulin-action/
LOCATION:ZOOM ID: 997 8258 4700 (Biomedical Mathematics Online Colloquium)\, (pw: 1234)
CATEGORIES:Biomedical Mathematics Online Colloquium
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20230310T100000
DTEND;TZID=Asia/Seoul:20230310T110000
DTSTAMP:20260529T062630
CREATED:20230213T105750Z
LAST-MODIFIED:20230306T000259Z
UID:7321-1678442400-1678446000@www.ibs.re.kr
SUMMARY:Martin Nowak\, Evolution of cooperation
DESCRIPTION:Abstract: Cooperation means that one individual pays a cost for another to receive a benefit. Cooperation can be at variance with natural selection. Why should you help competitors? Yet cooperation is abundant in nature and is important component of evolutionary innovation. Cooperation can be seen as the master architect of evolution and as the third fundamental principle of evolution beside mutation and selection. I will present five mechanisms for the evolution of cooperation: direct reciprocity\, indirect reciprocity\, spatial selection\, group selection and kin selection. Global cooperation and the cooperation with future generations is necessary to ensure the survival of our species. \nFurther reading:\nNowak MA (2006). Evolutionary Dynamics. Harvard University Press\nNowak MA & Highfield R (2011) SuperCooperators. Simon & Schuster.\nHauser OP\, Rand DG\, Peysakhovich A & Nowak MA (2014). Cooperating with the future. Nature 511: 220-223\nHilbe C\, Šimsa Š\, Chatterjee K & Nowak MA (2018). Evolution of cooperation in stochastic games. Nature 559: 246-249\nHauser OP\, Hilbe C\, Chatterjee K & Nowak MA (2019). Social dilemmas among unequals. Nature 572: 524-527
URL:https://www.ibs.re.kr/bimag/event/evolution-of-cooperation/
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/MartinNowak_250.jpeg
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20230315T160000
DTEND;TZID=Asia/Seoul:20230315T170000
DTSTAMP:20260529T062630
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20230324T160000
DTEND;TZID=Asia/Seoul:20230324T170000
DTSTAMP:20260529T062630
CREATED:20230213T105312Z
LAST-MODIFIED:20230320T010451Z
UID:7318-1679673600-1679677200@www.ibs.re.kr
SUMMARY:(Rescheduled: 3/22 -> 3/24) Stefan Bauer\, Neural Causal Models for Experimental Design
DESCRIPTION:Abstract: Many questions in everyday life as well as in research are causal in nature: How would the climate change if we lower train prices or will my headache go away if I take an aspirin? Inherently\, such questions need to specify the causal variables relevant to the question and their interactions. However\, existing algorithms for learning causal graphs from data are often not scaling well both with the number of variables or the number of observations. This talk will provide a brief introduction to causal structure learning\, recent efforts in using continuous optimization to learn causal graphs at scale and systematic approaches for causal experimental design at scale.
URL:https://www.ibs.re.kr/bimag/event/neural-causal-models-for-experimental-design/
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/jItlmUQr_400x400.jpg
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
END:VEVENT
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