Menu
Log in

News

<< First  < Prev   1   2   3   4   5   ...   Next >  Last >> 
  • 28 Feb 2025 12:22 PM | Anonymous

    Sara Loo (Johns Hopkins University), Burcu Gürbüz (Johannes Gutenberg-University Mainz), Thomas Woolley (Cardiff University), and Olivia Chu (Bryn Mawr College).

    1. Editorial - A message from SMB President Jane Heffernan and President-Elect Reinhard Laubenbacher 
    2. News - updates from: 
    3. People - Interview with Dr. Marissa Renardy, GSK.
    4. Featured Figures - Micah Brush

    To see the articles in this issue, click the links at the above items.

    Contributing content

    Issues of the newsletter are released four times per year in Spring, Summer, Autumn, and Winter. The newsletter serves the SMB community with news and updates, so please share it with your colleagues and contribute content to future issues.

    We welcome submissions to expand the content of the newsletter.  The next issue will be released in April, so if you would like to contribute, please send an email to the editors by the start of April 2025 to discuss how your content can be included. This could include summaries of relevant conferences that you have attended, suggestions for interviews, professional development opportunities etc. Please note that job advertisements should be sent to the Member Forum rather than to the newsletter.

    If you have any suggestions on how to improve the newsletter and would like to become more involved and/or contribute, please contact us at any time. We appreciate and welcome feedback and ideas from the community. The editors can be reached at newsletter@smb.org.

    We hope you enjoy this issue of the newsletter!

    Sara, Burcu, Thomas and Olivia
    Editors, SMB Newsletter

    Editorial

    By Jane Heffernan and Reinhard Laubenbacher

    The SMB was founded in 1973 to promote the development and dissemination of research and education at the interface between the mathematical and biological sciences. The SMB is an inclusive society and serves a diverse community of researchers and educators in academia, industry, and government agencies throughout the world. The SMB opposes any actions that counter its mission. 

    Science is currently being subjected to political, ideological and financial influence in some areas of the world, including the United States. SMB members in these regions thus are in a time of great uncertainty about the future of their research and travel funding, which will ultimately affect their ability to conduct effective, groundbreaking and impactful research, dissemination and training.

    At this time, the SMB would like to reassure its members that we will be advocating for the restoration of free inquiry in science wherever such freedom is threatened. 

    What can members DO? 

    First, we need to get as much information as we can. Some excellent sources of information to consult about the situation in the United States include Research!America and the American Institute of Biological Sciences 

    Second, now more than ever, members should reach out to everybody who will listen, most importantly elected representatives in local, state and federal governments, and help them understand the dramatic effects that recent administration actions are having (and will have) on research and their academic institutions. Do not assume that they know. 

    Finally, it is crucial for the science community to engage in outreach to the public. Please let the SMB (president@SMB.org) know what you are doing in response and what you expect SMB to do. 


    Sincerely,

    Jane Heffernan, President

    Reinhard Laubenbacher, President-Elect

    News Section

    By Thomas Woolley

    In this issue of the News section, we highlight the updates from the SMB Subgroups and Royal Society Publishing. Read on below.

    Looking for New Editors

    The SMB newsletter editor roles of Thomas Woolley and Sara Loo are coming to an end in a couple of issues. If you are interested in joining the newsletter team, please send an email to woolleyt1@cardiff.ac.uk.

    Upcoming Conferences

    The Mathematical Biology Research Centre (MBRC) in Nepal and the Central Department of Mathematics, Tribhuvan University, are hosting the International Conference on Mathematical Biology (ICMB-2025) in Pokhara, Nepal, from June 12 to 14, 2025.

    Under the theme "Quantitative Modeling and Computation in Life Sciences and Medicine," the conference will serve as a platform for a diverse community of scientists dedicated to applying mathematics to life and health sciences.

    ICMB-2025 aims to showcase the event's multidisciplinary nature by uniting scholars from various fields, with a primary focus on the application of mathematical principles to biological research. The conference seeks to gather research scholars from a range of disciplines across Southeast Asia and the globe.

    Please Visit:
    https://sites.google.com/view/icmbnepal/home?authuser=0 

    SMB Subgroups Updates

    Immunobiology and Infection (IMMU)

    IMMU member Peter Rashkov and colleagues are co-organizing the BIOMATH2025 conference in Sofia, Bulgaria from June 15-20, 2025. There will be a Special Topic session on Mathematical Models of the Immune system in Human Disease, with topics of interest including, but not limited to within-host models of host-pathogen interactions, cancer and immunotherapy, immunity and vaccination, autoimmunity and inflammation, signaling pathways, regulatory networks, multiscale immuno-epidemiological models, etc. Registration is open until March 31, 2025.

    Cell and Developmental Biology (CDEV)

    CDEV Subgroup are holding two mini-symposia at the SMB Annual Meeting.

    Title: From data to mechanisms: advancement in modeling in cell and developmental biology

    Abstract: In many cell and developmental processes, both modeling and data analytic approaches are necessary in order to generate useful modeling predictions to guide the design of further experiments for both validating and improving biological insight. There is an increased understanding that the application of machine learning methods can also be used to enhance common data-driven modeling techniques, including parameter and equation inference, classification, and sensitivity analysis. The speakers in this session will discuss how differential equation models, stochastic models, and methods from machine learning can be combined to address questions related to cell growth, intracellular transport, cell differentiation, cell migration, and tissue development. The speakers will highlight current research progress and challenges associated with combining modeling and inference approaches in cell and developmental biology.

    Royal Society Publishing

    Proceedings B of the Royal Society has recently published a new special issue - "A mathematical theory of evolution": phylogenetic models dating back 100 years compiled and edited by Noah A Rosenberg, Tanja Stadler and Mike Steel and the articles can be accessed directly at https://bit.ly/PTB1919

    A print version is also available at the special price of £40.00 per issue from sales@royalsociety.org 

    People Section

    By Sara Loo

    Interview with Dr. Marissa Renardy, Associate Director of Quantitative Systems Pharmacology at GSK. 

    Featured Figures

    By Burcu Gürbüz

    In this issue, we feature the work of Micah Brush, from the University of Victoria.

    Insect populations, particularly forest pests, often exhibit “eruptive dynamics”, characterized by prolonged periods of low, endemic population densities followed by sudden, large-scale outbreaks. Understanding the mechanisms that drive these transitions is critical, especially in the context of climate change, which can alter environmental conditions and affect both insect behavior and forest ecosystems. This study by Brush and Lewis focuses on the mountain pine beetle (Dendroctonus ponderosae), a species notorious for its devastating impact on North American forests. The authors develop a mechanistic model to elucidate the factors that contribute to these outbreaks and to predict how climate change may influence future dynamics.

    The authors extend a previous model that integrates key aspects of mountain pine beetle biology with forest growth dynamics. The enhanced model introduces a fraction of low-vigor trees, which are more susceptible to beetle attacks. The primary components of the model include: beetle population dynamics, forest composition and climate variables.

    Through analytical and numerical simulations, the study reveals several critical insights. The authors present threshold dynamics. The model identifies specific thresholds in beetle population density and forest composition that, once crossed, can trigger rapid transitions from endemic to epidemic states. Then the impact of low-vigor trees is considered. An increase in the proportion of low-vigor trees lowers the threshold for beetle outbreaks, making forests more susceptible to epidemics. Moreover, the implications of climate change are taken into account. Climate-induced stressors, such as increased temperatures and prolonged droughts, can elevate the proportion of low-vigor trees and enhance beetle survival and reproduction rates, thereby increasing the frequency and severity of outbreaks.

    Brush and Lewis’ study advances our understanding of the drivers of insect outbreaks and highlights the critical role of climate change in shaping future dynamics. The mechanistic model provides a valuable tool for predicting potential outbreaks and informing management practices to mitigate pest impacts on forest ecosystems.

    Figure: Comparison of the fixed points in the model with no low-vigor trees (f=0), with only low-vigor trees (f=1), and with a small number of low-vigor trees (f=0.1). Figure 1 demonstrates graphically how these fixed points arise. It illustrates the structure of the model, detailing the interactions between beetle populations, tree vigor, and environmental factors. This schematic is critical to understanding the basic assumptions and components of the model.

     


  • 26 Feb 2025 2:33 AM | Anonymous

    Employing observability rank conditions for taking into account experimental information a priori

    by Alejandro F. Villaverde

    Read the paper

    A dynamic model is identifiable if it is possible to infer its parameters by measuring its output over time. Likewise, it is observable if it is possible to determine its state variables in the same way. Since parameters can be treated as constant state variables, identifiability can be considered as a particular case of observability. Thus, both properties can be analysed by building an observability matrix and checking whether it has full rank. This test can be performed before collecting experimental data (i.e., “a priori”), and it may reveal structural issues of the model equations. Here we explore whether such a test can be extended to assess the influence of experimental characteristics, including the number of experiments.


    Left: noiseless simulation of the model output (black line) and artificial noisy data (red circles) used for parameter estimation. Right: bootstrap results for the estimation of one of the model parameters. It can be seen that the parameter can be estimated accurately, despite the difficulty of determining high order derivatives of the output measurements.

  • 12 Feb 2025 2:08 PM | Anonymous

    where we talk: the Akira Okobu prize, the Fokker-Planck equation, and the movement of bears.

    Mark Lewis is a mathematical ecologist at the University of Victoria. He uses mathematical models to understand the environment and our human impacts. He tries to maintain that work life balance by spending that hard-earned free time curling.

    Find out more about Mark’s groups’ work on the following website: https://lewisresearchlab.org/.


    Find out more about SMB on: 


    Apple Link      Spotify Link     Read the full transcript


  • 06 Feb 2025 4:47 AM | Anonymous

    Prevalence Estimation Methods for Time-Dependent Antibody Kinetics of Infected and Vaccinated Individuals: A Markov Chain Approach

    by Prajakta Bedekar, Rayanne A. Luke, and Anthony J. Kearsley

    Read the paper

    Modeling the change in antibody levels post infection or vaccination improves understanding of the time-dependent immune response. Disease or vaccination prevalence in populations and time-dependence simultaneously affect antibody levels, interact non-trivially, and pose considerable modeling challenges. We model transitions from the naïve state to either the infected or vaccinated state using a time-varying stochastic process. This is coupled with a probabilistic framework to describe post-event antibody dynamics. An important result of this work is the design of an unbiased prevalence estimation method. This is a critical step towards analyzing protection from infection or vaccination and improving booster timing recommendations.


    Graphical abstract created with bioRender.

  • 29 Jan 2025 10:19 AM | Anonymous

    How Residual Fertility Impacts the Efficiency of Crop Pest Control by the Sterile Insect Technique

    by Marine A. Courtois, Ludovic Mailleret, Suzanne Touzeau, Louise van Oudenhove, and Frédéric Grognard

    Read the paper

    The sterile insect technique (SIT) is a pest control method. It reduces pest populations through the release of sterilized males that disrupt reproduction by preventing females from producing viable offspring. Our study examines how residual fertility—when sterilized males retain some fertility—affects SIT success. Using mathematical models, we identified residual fertility thresholds: (1) below which pest eradication is achievable, and (2) below which only population reduction can be obtained. This research enhances SIT implementation strategies by providing insights into the balance between residual fertility and sterile male attractiveness. These findings help develop stronger pest control strategies for sustainable agriculture.


    Optimizing sterile insect technique (SIT): managing residual fertility.


  • 15 Jan 2025 5:06 AM | Anonymous

    Ecosystem knowledge should replace coexistence and stability assumptions in ecological network modelling

    by Sarah Vollert, Christopher Drovandi, and Matthew Adams

    Read the paper

    Ecosystem models are often used to aid conservation decision making, to help quantify the risks of management, and assess the probability of conservation success. But these models are frequently built on the assumption that an ecosystem will naturally stabilise towards a coexisting balance of species. This paper argues that this theoretical assumption is inappropriate for conservation planning, because it downplays the risks of extinction. Instead, we demonstrate how ecological field knowledge can replace this assumption without significant loss of information and show that expert knowledge leads to more realistic population predictions.

    Using ecological observations as an alternative for constructing ecosystem models.


  • 08 Jan 2025 7:48 PM | Anonymous

    A dynamical analysis of the alignment mechanism between two interacting cells

    by Vivienne Leech, Mohit P. Dalwadi, and Angelika Manhart

    Read the paper

    In biology, organisms often align their body orientation to coordinate their movement. Famous examples are schools of fish or flocks of birds. Here we focus on aligning cells, such as bacterial cells or skin cells, whose collective dynamics affects the behaviour of the bacterial colony or the properties of the skin tissue (relevant e.g. in scar formation). We zoom into the collective alignment dynamics and focus on the interactions between two cells on a 2D surface. The cells move, turn and deform in order to avoid overlapping. We thoroughly mathematically analyse the resulting non-linear system of ordinary differential equations. This allows to understand the role the model ingredients, such as self-propulsion, play for alignment dynamics.

    Mathematically analysing cell alignment.


  • 01 Jan 2025 8:48 AM | Anonymous

    Dynamics of Antibody Binding and Neutralization during Viral Infection

    by Zhenying Chen, Hasan Ahmed, Cora Hirst, and Rustom Antia

    Read the paper

    During a viral infection, virions are continuously produced by infected cells and rapidly decay. Meanwhile, neutralizing antibodies are produced and bind to virion sites, preventing them from infecting target cells. In this context, virus growth rate and decay rate have an impact on the amount of antibody binding, potentially substantially reducing the impact of Koff on antibody binding. We then show that greatly simplified neutralization models have similar virus growth dynamics to more complex model, but they are less suited for exploring how antibody affinity and the proportion of bound sites on a virion reduce virus growth rate. Thus, the choice of models should depend on the specific research question of interest


    Graphical abstract created with bioRender.


  • 18 Dec 2024 8:45 PM | Anonymous

    …where we talk: society nominations, prion proteins and murderbots.

    Professor Suzanne Sindi is a Mathematical Biologist studying protein aggregation, and blood coagulation through modeling and data science. She is passionate about promoting inclusion in math and STEM, and was inspired to go into science by dinosaur-related Sci-Fi.

    Find out more about Suzanne’s work on her website: https://www.sindilab.com/.

    If you feel inspired to step up, you can learn more about nominations for SMB positions by emailing: nominations@smb.org


    Find out more about SMB on: 


    Apple Link      Spotify Link     Read the full transcript


  • 11 Dec 2024 2:03 AM | Anonymous

    Accumulation of Oncogenic Mutations During Progression from Healthy Tissue to Cancer

    by Ruibo Zhang and Ivana Bozic

    Read the paper

    Carcinogenesis is a multi-stage process in which driver gene mutations occur sequentially. Understanding the arrival times of genetically different subclones provides important insights into tumorigenesis. In this work, we establish a multi-type branching process to model the initiation of cancer that starts from a healthy tissue in homeostasis. Mutations can be either neutral or advantageous, which reflects that inactivating a single copy of a tumor suppressor gene does not directly provide a selective growth advantage. We approximate the distribution of the arrival time for each type and compare it to computer simulations of the process. The results are applied to study the initiation of colorectal cancer and chronic myeloid leukemia


    Model illustration. The model describes an evolutionary process that starts with a large healthy population in homeostasis (blue circles). Mutations that are either neutral or advantageous occur sequentially, which causes subsequent types to be either homeostatic (yellow) or initiated (orange). The cancerous type (red) emerges only when all the required genetic alterations have taken place.


<< First  < Prev   1   2   3   4   5   ...   Next >  Last >> 


© 2023 - Society for Mathematical Biology | Site by HighlandCreative.com.au
Powered by Wild Apricot Membership Software