Mathematics in Medical and Life Sciences

Integrating human behaviour and epidemiological modelling: unlocking the remaining challenges This paper is part of a special issue on Behavioural Epidemiology.Historically, responses to health-related emergencies (whether public health, veterinary health or plant health related) have expos...

Integrating human behaviour and epidemiological modelling: unlocking the remaining challenges www.tandfonline.com/doi/full/10....

Call for Papers in Special Issue on Open Source Software and Code in Mathematical Biology

Take a look! @tandfresearch.bsky.social @mmls-journal.bsky.social #mathematics #biology #OpenSource #Code

⬇️⬇️⬇️⬇️⬇️
think.taylorandfrancis.com/special_issu...

We are excited to announce a special issue call on Open Source Software and Code in Mathematical Biology, open until 1st March 2026.
think.taylorandfrancis.com/special_issu...
Taylor and Francis are currently supporting a 100% waiver for all submissions.

Photo of 5 prize winners standing at the front of a lecture theatre with the conference organiser and journal editor

Delighted to join @natureportfolio.nature.com npj Systems Biology and Applications and Fabian Spill to sponsor poster prizes at the 1st UK Math Bio Conference! Congratulations to Sara Drummond-Curtis, Lewis Mosby & Kylie Savoye (MMLS) along with Stéphanie Abo, Duncan Martinson & Luci Mullen (NPJ)

Standardised hearing loss risk profiles with state-space models Hearing loss is a growing public health concern, affecting millions and contributing to impaired communication, social isolation, and reduced quality of life. As a hidden condition, hearing loss is...

Standardised hearing loss risk profiles with state-space models www.tandfonline.com/doi/full/10....

Unmasking burnout: exhaustion patterns among at risk health sciences students at the medical university of Gdańsk, Poland The primary objective of this study was to integrate several robust statistical techniques to address specific challenges inherent to the analysis of a large, multidimensional clinical dataset char...

Publication alert: determining the risk factors for burnout in medical students through statistical modelling www.tandfonline.com/doi/full/10....

The Mathematics of Behaviour: an interdisciplinary school. Dates: 20-24 July 2026 Location: University of Nottingham. Workshop theme Interdisciplinary research requires researchers to first develop a common language for discipline specific terminology. This school will gather experts from various disciplines within behavioural and mathematical sciences, to establish common ground in terminology, map the similarities and differences in challenge perspectives across disciplines, and discuss inclusive environments in interdisciplinary settings. The confluence of modelling and behavioural expertise will be harnessed to promote structured discussions of the adequacy and required innovation to capture key behaviours in modelling approaches. The school will feature contributions from across the mathematical sciences, with expertise in incorporating behaviour into the spectrum of modelling approaches (agent-based models, meso-level, macro-level and AI modelling) across epidemiology, energy use and other application areas, to present conventional and emerging methodologies for incorporating human behaviour.

Modelling Behaviour for Global Challenges: Epidemics and Energy Systems Dates: 10-14 August 2026 Location: University of Nottingham. Workshop theme The workshop will focus on mathematical modelling for behaviour, with three main themes: (i) Abstraction of real-world systems into mathematical models: (ii) Societal response to policy; (iii) Data needs. Much of the workshop will consist of invited and contributed research talks, and we will hold dynamic panel-based discussion sessions around key topics including engagement with government and public communication of modelling. Another key topic for discussion during the workshop will be the international vision for the research area. This workshop will take a global perspective, seeking to develop a roadmap for how the discipline can develop in the medium- and long-term. The strong interdisciplinary focus will aptly position workshop attendees to help steer the future development of the maths of human behaviour as a research area (with interdisciplinarity, internationalism and impact at the forefront).

1/ 📣 Workshop save the dates 📣

👥 Mathematics of Behaviour: an interdisciplinary school
🗓️: 20-24 Jul 2026

🦠 🔋 Modelling Behaviour for Global Challenges: Epidemics & Energy Systems
🗓️: 10-14 Aug 2026

🏫 Venue: University of Nottingham

✍ Expression of interest to attend opens approx Dec 2025/Jan 2026

Becoming amphibious: scientists’ identities and affective relations in the swamp of computational biology Computing and data science have permeated diverse fields of knowledge in recent decades. In biology the change has been especially noticeable, as very large data sets are revising how science is do...

Becoming amphibious: scientists’ identities and affective relations in the swamp of computational biology www.tandfonline.com/doi/full/10....

Bridging mechanistic and data-driven models: a novel framework for epidemic forecasting Accurate epidemic prediction is vital for public health interventions. Traditional models like the Susceptible-Infected-Recovered (SIR) model offer mechanistic insights but struggle with complex ep...

Bridging mechanistic and data-driven models: a novel framework for epidemic forecasting

@tandfresearch.bsky.social www.tandfonline.com/doi/full/10....

A new and efficient fixed point method for mean curvature denoising model The mean curvature model is one of the efficient higher-order models for image denoising, and its Euler-Lagrange equation is a fourth-order nonlinear equation which makes the development of efficie...

A new and efficient fixed point method for mean curvature denoising model www.tandfonline.com/doi/full/10....

Building Loops with Classical Lego Train Tracks

@joinmaa.bsky.social @tandfresearch.bsky.social #Lego www.tandfonline.com/doi/full/10....

Very happy to share that we are now indexed by DOAJ @doaj.bsky.social - thank you to all contributors, peer reviewers and editors for your support in reaching this milestone!

<i>Behavioural Epidemiology</i> Explore the article collection: Behavioural Epidemiology. Published in Mathematics in Medical and Life Sciences.

1/ I have been a Guest Editor for @mmls-journal.bsky.social Special Issue on Behavioural Epidemiology & it now has a dedicated article collection webpage! #EpiSky #IDSky 🧪

🧵 on the 4️⃣ articles published so far.

📄 Further Special Issue contributions will be added to the article collection webpage👇

Machine learning-driven COVID-19 early triage and large-scale testing strategies based on the 2021 Costa Rican Actualidades survey The COVID-19 pandemic underscored the importance of mass testing to mitigate the spread of the virus. This study presents mass-testing strategies developed through machine learning models, which pr...

🚨 Publication alert 🚨Full article: Machine learning-driven COVID-19 early triage and large-scale testing strategies based on the 2021 Costa Rican Actualidades survey www.tandfonline.com/doi/full/10....

Journal article press nomination form - Author Services Use this form to highlight your newsworthy research to Taylor & Francis’ Press & Media Team.

Looking to highlight your research?
You can nominate your article after the peer review is completed, but before the article is published.
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We’re excited to have represented in these important discussions and look forward to exploring new collaborations at the intersection of mathematics, engineering, and medicine.

Chat to Seb if you're there!

#MathInMedicine #DigitalPathology #ImageAnalysis #ComputerVision

Associate Editor @seb-math-bio.bsky.social is representing @mmls-journal.bsky.social at the @visiopharm.bsky.social 2nd UK User Group Meeting at the @unibirmingham.bsky.social, UK. This conference for unites unites digital pathology experts for talks, presentations, and networking.

Robust estimation of the incubation period and the time of exposure using γ-divergence Estimating the exposure time to single infectious pathogens and the associated incubation period, based on symptom onset data, is crucial for identifying infection sources and implementing public h...

Robust estimation of the incubation period and the time of exposure using γ-divergence www.tandfonline.com/doi/full/10....

Wishing everyone a very happy #EarthDay! 🌍
Did you know that spending time outside and being in nature has proven to reduce stress-related symptoms? You might have noticed this too! This #OpenAccess article delves into this idea deeper http://spr.ly/63328FTRJ0

Enhancing a university community COVID-19 model with Bayesian model-data fusion During the COVID-19 pandemic, universities experienced unique challenges, and current research has used mathematical models that leveraged model parameters calibrated to local contexts, such as hos...

🚨 Publication Alert 🚨 Enhancing a university community COVID-19 model with Bayesian model-data fusion www.tandfonline.com/doi/full/10.... by Meghan Childs and Tony Wong

Potential theramechanics for cancer invasion: an in silico study During cancer invasion cells penetrate into healthy tissues by migrating through sub-cellular or sub-nuclear constrictions in the basal membrane or the extracellular matrix. Current therapies to co...

📄 Read the full study here: doi.org/10.1080/2993...

#CancerResearch #Theramechanics #MathematicalBiology #ComputationalModeling #MedicalInnovation #InSilicoScience

By integrating biology & mechanics, this study opens new possibilities for mechanics-based cancer therapies. Could targeting nuclear stiffness and shape be a game-changer for cancer treatment?

🔑 Key takeaways:
✅ Cancer cells must deform their nuclei to invade new tissues.
✅ The nucleus acts as a mechanical regulator of movement.
✅ Theramechanics—modifying nuclear properties—could open new treatment avenues.

Using computer simulations, the research models how cells move through spaces smaller than their nucleus. By adjusting nuclear stiffness & shape, it explores new ways to control cancer spread. This approach is called theramechanics. 🖥️

The nucleus is the stiffest and largest part of the cell—it can act as a physical barrier to movement. What if we could limit cancer spread by changing its mechanical properties? This study investigates that question. 💡

When cancer cells invade healthy tissues, they squeeze through tight spaces like the basal membrane and extracellular matrix. Most treatments focus on biological mechanisms, but this study highlights a mechanical factor: the nucleus. 🔬

📢 New Publication Alert 📢
How can we rethink cancer treatment beyond biology? A recent study, "Potential theramechanics for cancer invasion: an in silico study," by Rachelle Allena, explores how the physical properties of cancer cells affect how they spread. ⬇️

A Note on the Cowles-EM Algorithm for Bayesian Ordinal Probit Models We describe a novel procedure for Bayesian cutpoint simulation in ordered probit models. Our approach capitalizes upon a series of auxiliary binary probit models implied by the ordinal probit to cr...

A Note on the Cowles-EM Algorithm for Bayesian Ordinal Probit Models www.tandfonline.com/doi/full/10....

Welcome to MAA Convergence Published in MAA Convergence (Vol. 22, No. 1, 2025)

Welcome to MAA Convergence

@joinmaa.bsky.social @tandfresearch.bsky.social www.tandfonline.com/doi/full/10....

Investigating the trade-off between infections and social interactions using a compact model of endemic infections on networks This paper is part of a special issue on Behavioural Epidemiology.In many epidemiological and ecological contexts, there is a trade-off between infections and interactions. This arises because the ...

🔗 Read more: www.tandfonline.com/doi/full/10....

#MathematicalBiology #Epidemiology #NetworkScience #PublicHealth #InfectiousDiseases #BehaviouralEpidemiology #MathematicalModeling #ComplexSystems