MCS SIG Lunch: 12:00pm - 1:30pm, Wednesday Nov 2 2022
Invited Speaker: Kristin Swanson, Arizona State University
MCS SIG Poster Award:
Kamrine Poels, Pfizer A Mathematical Model of Tumor Evolution and ctDNA Release in Treated Lung Cancer Explores Tumor Response and Resistance to ALK Inhibitors
Meet the MCS SIG session: 4pm - 5:30pm Eastern, Nov 10 2021
Featured MCS SIG session: 1pm - 2:30pm Eastern, Nov 11 2021
5B - MCS+: Bringing More Mathematical and Computational Sciences (MCS) into Pharmacometrics
MCS SIG Poster Award:
Niklas Korsbo Automatic identification of non-obvious prognostic factors in big data with DeepNLME
MCS SIG Poster Walk:
Shuhua Hu Implementation of Gamma, Inverse Gamma, and Weibull Absorption Delay Models
Julian Otalvaro The search for initial conditions in Population Pharmacokinetics using a Reinforcement Learning algorithm
Rong Chen RPEM - The Randomized Parametric Expectation Maximization Algorithm
Meet the MCS SIG luncheon: 3pm - 4pm Eastern, Nov 11 2020
MCS SIG Poster Award:
Daniel Lill Efficient simulation of clinical target isoboles applied to drug combinations for malaria
MCS SIG Poster Walk:
Aymen Balti Nonlinear Dynamics Analysis within the Context of Cancer Combination Therapy
Abed E. Alnaif Mechanistic mathematical model to optimize drug delivery via intratumoral injection
Meet the MCS SIG luncheon: 12:15 pm – 1:30 pm Wednesday, October 23, 2019
MCS SIG Poster Award: This year's winner is Christopher Rackauckas of MIT.
MCS SIG Poster Walk: The SIG leadership will visit each of three selected posters, giving presenters a chance to explain their work in detail. Poster presenters this year will be Ronny Straube of Bristol-Myers Squibb, Shuhua Hu of Certara, and Florencio Serrano-Castillo of the University of Pittsburgh.
Featured Presentation: Tools for predicting optimal regimens for treatment of Tuberculosis
Dr. Denise Kirschner is a mathematician and is a Professor of Microbiology & Immunology in the University of Michigan Medical School. She received her PhD in mathematics at Tulane University. Before arriving at the University of Michigan in 1997, she held positions at Los Alamos National Lab, Vanderbilt University Department of Mathematics, and Texas A&M University Department of Mathematics. Dr. Kirschner was the president of the Society for Mathematical Biology 2017-2019, and has been co-editor-in-chief of the Journal of Theoretical Biology since 2004. She has developed mathematical models of host-pathogen dynamics for persistent infectious diseases such as HIV, H. pylori, and tuberculosis, with a focus on immune-pathogen interactions in the lungs. Her approaches have included ODE, PDE, and agent-based multiscale modeling, and analysis methods such as global uncertainty and sensitivity analysis and optimal control to predict optimal drug regimens.
Featured presentation: Discrete Stochastic Simulation in a Nutshell
Dr. Linda Petzold is the Mehrabian Distinguished Professor in the Department of Mechanical Engineering and the Department of Computer Science (Chair 2003-2007) and Director of the Computational Science and Engineering Graduate Emphasis at the University of California Santa Barbara. She spent 7 years working at Sandia National Laboratories and 6 years working at Livermore National Laboratory before returning to academia. She is a member of the US National Academy of Engineering and a Fellow of ACM, ASME, SIAM, and AAAS. She was named the UCSB Faculty Research Lecturer for 2011, was awarded the SIAM/ACM Prize for Computational Science and Engineering in 2013, received an Honorary Doctorate from Uppsala University in 2015, and was awarded the SIAM Prize for Distinguished Service in 2016. Her work in numerical algorithms for solving differential equation systems is widely known and used (especially DASSL and LSODA). Her current research focuses on modeling, simulation, and analysis of multiscale systems in biology and medicine.
Itziar Irurzun-Arana, Alvaro Janda, Sergio Ardanza-Trevijano and Iñaki F. Trocóniz
University of Navarra, Pamplona, Spain.
PW-1: The effect of monoclonal antibodies pharmacokinetics on the tumor cells dynamics: A bifurcation analysis , Amirhossein Hajihosseini (U Florida)
PW-2: A Machine Learning, Genetic Algorithm Based Approach to Model Selection for Tumor Growth , Sihang Liu (Univ. Buffalo)
PW-3: Determining the structure of a quantitative systems pharmacology (QSP) model for azathioprine metabolism,Vijay K. Siripuram