BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Biomedical Mathematics Group - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://www.ibs.re.kr/bimag
X-WR-CALDESC:Events for Biomedical Mathematics Group
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Asia/Seoul
BEGIN:STANDARD
TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:KST
DTSTART:20240101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20251017T100000
DTEND;TZID=Asia/Seoul:20251017T120000
DTSTAMP:20260422T195046
CREATED:20250928T143709Z
LAST-MODIFIED:20251004T064334Z
UID:11627-1760695200-1760702400@www.ibs.re.kr
SUMMARY:Simulating the Spread of Infection in Networks with Quantum Computers - Shingo Gibo
DESCRIPTION:In this talk\, we discuss the paper “Simulating the Spread of Infection in Networks with Quantum Computers” by Xiaoyang Wang\, Yinchenguang Lyu\, Changyu Yao and Xiao Yuan\, Physical Review Applied\, vol.19\, 064035 (2023). \nAbstract \nWe propose to use quantum computers to simulate infection spreading in networks. We first show the analogy between the infection distribution and spin-lattice configurations with Ising-type interactions. Then\, since the spreading process can be modeled as a classical Markovian process\, we show that the spreading process can be simulated using the evolution of a quantum thermal dynamic model with a parameterized Hamiltonian. In particular\, we analytically and numerically analyze the evolution behavior of the Hamiltonian\, and prove that the evolution simulates a classical Markovian process\, which describes the well-known epidemiological stochastic susceptible and infectious (SI) model. A practical method to determine the parameters of the thermal dynamic Hamiltonian from epidemiological inputs is exhibited. As an example\, we simulate the infection spreading process of the SARS-Cov-2 variant Omicron in a small-world network.
URL:https://www.ibs.re.kr/bimag/event/simulating-the-spread-of-infection-in-networks-with-quantum-computers-shingo-gibo/
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:20251024T100000
DTEND;TZID=Asia/Seoul:20251024T120000
DTSTAMP:20260422T195046
CREATED:20250928T144047Z
LAST-MODIFIED:20251023T035250Z
UID:11629-1761300000-1761307200@www.ibs.re.kr
SUMMARY:Dynamical Mean-Field Theory of Complex Systems on Sparse Directed Networks - Gyuyoung Hwang
DESCRIPTION:In this talk\, we discuss the paper “Dynamical Mean-Field Theory of Complex Systems on Sparse Directed Networks” by Fernando L. Metz\, Phys. Rev. Letters\, 2025. \nAbstract \nAlthough real-world complex systems typically interact through sparse and heterogeneous networks\, analytic solutions of their dynamics are limited to models with all-to-all interactions. Here\, we solve the dynamics of a broad range of nonlinear models of complex systems on sparse directed networks with a random structure. By generalizing dynamical mean-field theory to sparse systems\, we derive an exact equation for the path probability describing the effective dynamics of a single degree of freedom. Our general solution applies to key models in the study of neural networks\, ecosystems\, epidemic spreading\, and synchronization. Using the population dynamics algorithm\, we solve the path-probability equation to determine the phase diagram of a seminal neural network model in the sparse regime\, showing that this model undergoes a transition from a fixed-point phase to chaos as a function of the network topology.
URL:https://www.ibs.re.kr/bimag/event/dynamical-mean-field-theory-of-complex-systems-on-sparse-directed-networks-gyuyoung-hwang/
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:20251031T090000
DTEND;TZID=Asia/Seoul:20251031T103000
DTSTAMP:20260422T195046
CREATED:20251004T064151Z
LAST-MODIFIED:20251023T035154Z
UID:11754-1761901200-1761906600@www.ibs.re.kr
SUMMARY:Dosing Time of Day Impacts the Safety of Antiarrhythmic Drugs in a Computational Model of Cardiac Electrophysiology - Chitaranjan Mahapatra
DESCRIPTION:In this talk\, we discuss the paper “Dosing Time of Day Impacts the Safety of Antiarrhythmic Drugs in a Computational Model of Cardiac Electrophysiology” by Ning Wei and Casey O Diekman\, J. Biol. Rhythms\, 2025.  \nAbstract \nCircadian clocks regulate many aspects of human physiology\, including cardiovascular function and drug metabolism. Administering drugs at optimal times of the day may enhance effectiveness and reduce side effects. Certain cardiac antiarrhythmic drugs have been withdrawn from the market due to unexpected proarrhythmic effects such as fatal Torsade de Pointes (TdP) ventricular tachycardia. The Comprehensive in vitro Proarrhythmia Assay (CiPA) is a recent global initiative to create guidelines for the assessment of drug-induced arrhythmias that recommends a central role for computational modeling of ion channels and in silico evaluation of compounds for TdP risk. We simulated circadian regulation of cardiac excitability and explored how dosing time of day affects TdP risk for 11 drugs previously classified into risk categories by CiPA. The model predicts that a high-risk drug taken at the most optimal time of day may actually be safer than a low-risk drug taken at the least optimal time of day. Based on these proof-of-concept results\, we advocate for the incorporation of circadian clock modeling into the CiPA paradigm for assessing drug-induced TdP risk. Since cardiotoxicity is the leading cause of drug discontinuation\, modeling cardiac-related chronopharmacology has significant potential to improve therapeutic outcomes.
URL:https://www.ibs.re.kr/bimag/event/dosing-time-of-day-impacts-the-safety-of-antiarrhythmic-drugs-in-a-computational-model-of-cardiac-electrophysiology-chitaranjan-mahapatra/
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
END:VCALENDAR