Mathematics in Medical and Life Sciences
@mmls-journal.bsky.social
Scientific journal published by Taylor and Francis, championing mathematics, statistics and computational modelling in medicine, biology and ecology. Free open access continuing in 2025!
The journal Mathematics in Medical and Life Sciences (@mmls-journal.bsky.social) is accepting submissions for a special issue on: "Open Source Software and Code in Mathematical Biology" Submission Deadline: March 1, 2026 Ready to submit? Visit: spr.ly/63328C4f4e
Opening MMLS volume 3, Modeling the effect of alcohol consumption on the progression of hepatitis C infection with treatment: doi.org/10.1080/2993...
Modeling the effect of alcohol consumption on the progression dynamics of Hepatitis C infection with treatment
This research introduces a model that integrates a logistic approach to alcohol consumption to delve into the effect of alcohol consumption on the advancement of hepatitis C infection, evaluates th...
doi.org
Happy 2026! After seeing many colleagues moving from X to @bsky.app we have decided to open our account here. We are @ Stellenbosch Uni, focusing on biomathematics, theoretical ecology, eco-evolutionary modelling, biodiversity metics, mathematical ecology, invasion biology, macroecology, …
Wrapping up MMLS Volume 2, a modelling study of interactions between ethnicity and transmission dynamics in the first Omicron wave in Aotearoa New Zealand: doi.org/10.1080/2993...
Modelling the interaction between ethnicity and infectious disease transmission dynamics in Aotearoa New Zealand during the first Omicron wave of the COVID-19 pandemic
During the COVID-19 pandemic, Aotearoa followed an elimination strategy followed by a mitigation strategy, which saw high success and kept health impact low. However, there were inequities in healt...
doi.org
New publication: Understanding burnout and mental health challenges in health sciences students doi.org/10.1080/2993...
The exhaustion-disengagement spectrum: burnout, mental health, and academic attrition in undergraduate health science students
This study explored relationships between exhaustion and disengagement among health sciences undergraduates at the Medical University of Gdańsk, using the Oldenburg Burnout Inventory (OLBI). We ass...
doi.org
Integrating human behaviour and epidemiological modelling: unlocking the remaining challenges www.tandfonline.com/doi/full/10....
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...
tandfonline.com
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.
Open Source Software and Code in Mathematical Biology
think.taylorandfrancis.com
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 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...
tandfonline.com
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...
tandfonline.com
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 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...
tandfonline.com
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...
tandfonline.com
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...
tandfonline.com
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!
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.
tandfonline.com
🚨 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...
tandfonline.com
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
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 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...
tandfonline.com
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
🚨 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...
tandfonline.com
📢 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 www.tandfonline.com/doi/full/10....
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...
tandfonline.com
🚨 New Publication Alert 🚨 How does social network structure shape the trade-off between infections and interactions? A new study by Bunlang Thatchai, Christopher E. Overton & @tah-sci.com explores this using a mathematical model of epidemic dynamics. 🧵
Solar and wind predictions using evolution differentiated modular and LSTM long-term modelling based on pattern correlations @tandfresearch.bsky.social www.tandfonline.com/doi/full/10....
Solar and wind predictions using evolution differentiated modular and LSTM long-term modelling based on pattern correlations
Spatiotemporal correlations between meteo-inputs and wind-solar outputs in an optimal regional scale are inevitable in the evolution of robust models that are reliable in mid-term prediction time h...
tandfonline.com
