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PRODID:-//Biomedical Mathematics Group - ECPv6.16.2//NONSGML v1.0//EN
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METHOD:PUBLISH
X-ORIGINAL-URL:https://www.ibs.re.kr/bimag
X-WR-CALDESC:Events for Biomedical Mathematics Group
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X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Asia/Seoul
BEGIN:STANDARD
TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:KST
DTSTART:20230101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20241002T160000
DTEND;TZID=Asia/Seoul:20241002T170000
DTSTAMP:20260522T034624
CREATED:20240829T001952Z
LAST-MODIFIED:20240830T030008Z
UID:9983-1727884800-1727888400@www.ibs.re.kr
SUMMARY:Novel approaches and technologies for the study of sleep and circadian rhythms in health and disease - Derk-Jan Dijk
DESCRIPTION:Abstract: The study of sleep and circadian rhythms at scale requires novel technologies and approaches that are valid\, cost effective and do not pose much of a burden to the participant. Here we will present our recent studies in which we have evaluated several classes of technologies and approaches including wearables\, nearables\, blood based biomarkers and combinations of data with mathematical models.
URL:https://www.ibs.re.kr/bimag/event/novel-approaches-and-technologies-for-the-study-of-sleep-and-circadian-rhythms-in-health-and-disease-derk-jan-dijk/
LOCATION:ZOOM ID: 997 8258 4700 (Biomedical Mathematics Online Colloquium)\, (pw: 1234)
CATEGORIES:Biomedical Mathematics Online Colloquium
ATTACH;FMTTYPE=image/webp:https://www.ibs.re.kr/bimag/cms/wp-content/uploads/2024/08/derk-jan-dijk-e1724986795436.webp
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20241004T140000
DTEND;TZID=Asia/Seoul:20241004T160000
DTSTAMP:20260522T034624
CREATED:20240827T002008Z
LAST-MODIFIED:20241002T001729Z
UID:9960-1728050400-1728057600@www.ibs.re.kr
SUMMARY:Dongju Lim\, Mathematical model for the distribution of DNA replication origins
DESCRIPTION:In this talk we discuss the paper “Mathematical model for the distribution of DNA replication origins” by Alessandro de Moura and Jens Karschau\, Physical Review E\, 2024. \nAbstract  \nDNAreplication in yeast and in many other organisms starts from well-defined locations on the DNA known as replication origins. The spatial distribution of these origins in the genome is particularly important in ensuring that replication is completed quickly. Cells are more vulnerable to DNA damage and other forms of stress while they are replicating their genome. This raises the possibility that the spatial distribution of origins is under selection pressure. In this paper we investigate the hypothesis that natural selection favors origin distributions leading to shorter replication times. Using a simple mathematical model\, we show that this hypothesis leads to two main predictions about the origin distributions: that neighboring origins that are inefficient (less likely to fire) are more likely to be close to each other than efficient origins; and that neighboring origins with larger differences in firing times are more likely to be close to each other than origins with similar firing times. We test these predictions using next-generation sequencing data\, and show that they are both supported by the data.
URL:https://www.ibs.re.kr/bimag/event/dongju-lim-analysis-of-a-detailed-multi-stage-model-of-stochastic-gene-expression-using-queueing-theory-and-model-reduction/
LOCATION:B232 Seminar Room\, IBS\, 55 Expo-ro Yuseong-gu\, Daejeon\, Daejeon\, 34126\, Korea\, Republic of
CATEGORIES:Journal Club
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20241011T140000
DTEND;TZID=Asia/Seoul:20241011T160000
DTSTAMP:20260522T034624
CREATED:20240923T012824Z
LAST-MODIFIED:20240923T012824Z
UID:10095-1728655200-1728662400@www.ibs.re.kr
SUMMARY:Eui Min Jeong\, A frequency-amplitude coordinator and its optimal energy consumption for biological oscillators
DESCRIPTION:In this talk\, we discuss the paper\, “A frequency-amplitude coordinator and its optimal energy consumption for biological oscillators”\, by Bo-Wei Qin et. al.\, Nature Communications\, 2021. \nZoom : https://us06web.zoom.us/j/99567630778?pwd=N2ZrUWtqZzJ0YURVTzlZT3JJR3FUQT09 \nAbstract  \nBiorhythm including neuron firing and protein-mRNA interaction are fundamental activities with diffusive effect. Their well-balanced spatiotemporal dynamics are beneficial for healthy sustainability. Therefore\, calibrating both anomalous frequency and amplitude of biorhythm prevents physiological dysfunctions or diseases. However\, many works were devoted to modulate frequency exclusively whereas amplitude is usually ignored\, although both quantities are equally significant for coordinating biological functions and outputs. Especially\, a feasible method coordinating the two quantities concurrently and precisely is still lacking. Here\, for the first time\, we propose a universal approach to design a frequency-amplitude coordinator rigorously via dynamical systems tools. We consider both spatial and temporal information. With a single well-designed coordinator\, they can be calibrated to desired levels simultaneously and precisely. The practical usefulness and efficacy of our method are demonstrated in representative neuronal and gene regulatory models. We further reveal its fundamental mechanism and optimal energy consumption providing inspiration for biorhythm regulation in future.
URL:https://www.ibs.re.kr/bimag/event/eui-min-jeong-a-frequency-amplitude-coordinator-and-its-optimal-energy-consumption-for-biological-oscillators/
LOCATION:Daejeon
CATEGORIES:Journal Club
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20241018T110000
DTEND;TZID=Asia/Seoul:20241018T120000
DTSTAMP:20260522T034624
CREATED:20240829T002853Z
LAST-MODIFIED:20240830T041457Z
UID:9987-1729249200-1729252800@www.ibs.re.kr
SUMMARY:Interpretable Machine Learning-Based Scoring System for Clinical Decision Making - Nan Liu
DESCRIPTION:Abstract: There has been an increased use of scoring systems in clinical settings for the purpose of assessing risks in a convenient manner that provides important evidence for decision making. Machine learning-based methods may be useful for identifying important predictors and building models; however\, their ‘black box’ nature limits their interpretability as well as clinical acceptability. This talk aims to introduce and demonstrate how interpretable machine learning can be used to create scoring systems for clinical decision making.
URL:https://www.ibs.re.kr/bimag/event/interpretable-machine-learning-based-scoring-system-for-clinical-decision-making-nan-liu/
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/2024/08/liu-nan-e1724991287242.jpeg
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20241025T140000
DTEND;TZID=Asia/Seoul:20241025T150000
DTSTAMP:20260522T034624
CREATED:20241011T003836Z
LAST-MODIFIED:20241015T003252Z
UID:10162-1729864800-1729868400@www.ibs.re.kr
SUMMARY:Yun Min Song - Noise robustness and metabolic load determine the principles of central dogma regulation
DESCRIPTION:In this talk\, we discuss the paper : “Noise robustness and metabolic load determine the principles of central dogma regulation” by Teresa W. Lo et al\, Sci. Adv\, https://doi.org/10.1126/sciadv.ado3095. \nZoom: https://us06web.zoom.us/j/99567630778?pwd=N2ZrUWtqZzJ0YURVTzlZT3JJR3FUQT09 \nAbstract \nThe processes of gene expression are inherently stochastic\, even for essential genes required for growth. How does the cell maximize fitness in light of noise? To answer this question\, we build a mathematical model to explore the trade-off between metabolic load and growth robustness. The model provides insights for principles of central dogma regulation: Optimal protein expression levels for many genes are in vast overabundance. Essential genes are transcribed above a lower limit of one message per cell cycle. Gene expression is achieved by load balancing between transcription and translation. We present evidence that each of these regulatory principles is observed. These results reveal that robustness and metabolic load determine the global regulatory principles that govern gene expression processes\, and these principles have broad implications for cellular function. \n 
URL:https://www.ibs.re.kr/bimag/event/yun-min-song-noise-robustness-and-metabolic-load-determine-the-principles-of-central-dogma-regulation/
LOCATION:Daejeon
CATEGORIES:Journal Club
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20241030T150000
DTEND;TZID=Asia/Seoul:20241030T160000
DTSTAMP:20260522T034624
CREATED:20240829T003420Z
LAST-MODIFIED:20241023T052507Z
UID:9992-1730300400-1730304000@www.ibs.re.kr
SUMMARY:Latent space dynamics identification - Youngsoo Choi
DESCRIPTION:Abstravt: Latent space dynamics identification (LaSDI) is an interpretable data-driven framework that follows three distinct steps\, i.e.\, compression\, dynamics identification\, and prediction. Compression allows high-dimensional data to be reduced so that they can be easily fit into an interpretable model. Dynamics identification lets you derive the interpretable model\, usually some form of parameterized differential equations that fit the reduced latent space data. Then\, in the prediction phase\, the identified differential equations are solved in the reduced space for a new parameter point and its solution is projected back to the full space. The efficiency of the LaSDI framework comes from the fact that the solution process in the prediction phase does not involve any full order model size. For the identification\, various approaches are possible\, e.g.\, a fixed form as in dynamic mode decomposition and thermodynamics-based LaSDI\, a regression form as in sparse identification of nonlinear dynamics (SINDy) and weak SINDy\, and a physics-driven form as projection-based reduced order model. Various physics prob- lems were accurately accelerated by the family of LaSDIs\, achieving a speed-up of 1000x\, e.g.\, kinetic plasma simulations\, pore collapse\, and computational fluid problems.
URL:https://www.ibs.re.kr/bimag/event/latent-space-dynmaics-identification-youngsoo-choi/
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/2024/08/choi15_1-e1724991182393.jpg
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
END:VEVENT
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