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Reposted by Mathematics in Medical and Life Sciences

Paul Naish @paulnaish.bsky.social · 5d

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...

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Mathematics in Medical and Life Sciences @mmls-journal.bsky.social · 5d

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.

Open Source Software and Code in Mathematical Biology

think.taylorandfrancis.com

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Mathematics in Medical and Life Sciences @mmls-journal.bsky.social · 27d

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)

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

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Reposted by Mathematics in Medical and Life Sciences

Paul Naish @paulnaish.bsky.social · 28d

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

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...

www.tandfonline.com

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Mathematics in Medical and Life Sciences @mmls-journal.bsky.social · Aug 12

Publication alert: determining the risk factors for burnout in medical students through statistical modelling 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...

www.tandfonline.com

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Reposted by Mathematics in Medical and Life Sciences

Ed Hill @edmhill.bsky.social · Jul 11

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

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).

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Reposted by Mathematics in Medical and Life Sciences

Paul Naish @paulnaish.bsky.social · Jun 17

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

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...

www.tandfonline.com

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Reposted by Mathematics in Medical and Life Sciences

Paul Naish @paulnaish.bsky.social · Jun 27

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

@tandfresearch.bsky.social 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...

www.tandfonline.com

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Reposted by Mathematics in Medical and Life Sciences

Paul Naish @paulnaish.bsky.social · Jun 16

A new and efficient fixed point method for mean curvature denoising model 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...

www.tandfonline.com

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Reposted by Mathematics in Medical and Life Sciences

Paul Naish @paulnaish.bsky.social · May 16

Building Loops with Classical Lego Train Tracks

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

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Mathematics in Medical and Life Sciences @mmls-journal.bsky.social · May 30

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!

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Reposted by Mathematics in Medical and Life Sciences

Ed Hill @edmhill.bsky.social · May 28

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👇

<i>Behavioural Epidemiology</i>

Explore the article collection: Behavioural Epidemiology. Published in Mathematics in Medical and Life Sciences.

www.tandfonline.com

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Mathematics in Medical and Life Sciences @mmls-journal.bsky.social · May 6

🚨 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....

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...

www.tandfonline.com

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Reposted by Mathematics in Medical and Life Sciences

Taylor & Francis Research @tandfresearch.bsky.social · Apr 29

Looking to highlight your research?
You can nominate your article after the peer review is completed, but before the article is published.
http://spr.ly/633262srfE

Journal article press nomination form - Author Services

Use this form to highlight your newsworthy research to Taylor & Francis’ Press & Media Team.

spr.ly

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Mathematics in Medical and Life Sciences @mmls-journal.bsky.social · Apr 28

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

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Mathematics in Medical and Life Sciences @mmls-journal.bsky.social · Apr 28

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.

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Reposted by Mathematics in Medical and Life Sciences

Paul Naish @paulnaish.bsky.social · Apr 28

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

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...

www.tandfonline.com

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Reposted by Mathematics in Medical and Life Sciences

Taylor & Francis Research @tandfresearch.bsky.social · Apr 22

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

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Mathematics in Medical and Life Sciences @mmls-journal.bsky.social · Apr 16

🚨 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

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...

www.tandfonline.com

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Mathematics in Medical and Life Sciences @mmls-journal.bsky.social · Apr 11

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

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

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...

doi.org

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Mathematics in Medical and Life Sciences @mmls-journal.bsky.social · Apr 11

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?

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Mathematics in Medical and Life Sciences @mmls-journal.bsky.social · Apr 11

🔑 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.

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Mathematics in Medical and Life Sciences @mmls-journal.bsky.social · Apr 11

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. 🖥️

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Mathematics in Medical and Life Sciences @mmls-journal.bsky.social · Apr 11

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. 💡

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Mathematics in Medical and Life Sciences @mmls-journal.bsky.social · Apr 11

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. 🔬

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