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The cellular Potts model (CPM) is a powerful in silico method for simulating biological processes at tissue scale. Their inherently graphical nature makes CPMs very accessible in theory, but in practice, they are mostly implemented in specialised frameworks users need to master before they can run simulations. We here present Artistoo (Artificial Tissue Toolbox), a JavaScript library for building 'explorable' CPM simulations where viewers can change parameters interactively, exploring their effects in real time. Simulations run directly in the web browser and do not require third-party software, plugins, or back-end servers. The JavaScript implementation imposes no major performance loss compared to frameworks written in C++; Artistoo remains sufficiently fast for interactive, real-time simulations. Artistoo provides an opportunity to unlock CPM models for a broader audience: interactive simulations can be shared via a URL in a setting. We discuss applications in CPM research, science dissemination, open science, and education.
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http://dx.doi.org/10.7554/eLife.61288 | DOI Listing |
J Glaucoma
September 2025
Department of Ophthalmology, Kurashiki Medical Center, Kurashiki, Okayama, Japan.
Prcis: Protocol 30-2 of Melbourne Rapid Fields, online computer perimetry, provides a portable, reliable, and patient-friendly alternative to Humphrey Field Analyzer 30-2 SITA fast protocol for Japanese all severity stages of glaucoma patients.
Purpose: Melbourne Rapid Fields (MRF) online computer perimetry is a web-browser-based software that offers white-on-white threshold perimetry using any computer. This study evaluates the perimetric results of 30-2 protocol from MRF performed using a laptop computer in comparison to Humphrey Field Analyzer (HFA).
Stud Health Technol Inform
September 2025
Dept. of Medical Bioinformatics, University Medical Center Göttingen, Germany.
Introduction: Machine learning (ML) and deep learning (DL) models in healthcare traditionally rely on server-centric architectures, where sensitive patient data is transmitted to external servers for processing via frameworks like Flask, raising significant privacy concerns. This work demonstrates a privacy-preserving approach by executing healthcare prediction models entirely within the web browser.
Methods: Our approach leverages existing browser-based machine learning and deep learning technologies such as TensorFlow.
Bioinformatics
September 2025
European Bioinformatics Institute, European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom.
Summary: Computational models in biology can increase our understanding of biological systems, be used to answer research questions, and make predictions. Accessibility and reusability of computational models is limited and often restricted to experts in programming and mathematics. This is due to the need to implement entire models and solvers from the mathematical notation models are normally presented as.
View Article and Find Full Text PDFEur Arch Psychiatry Clin Neurosci
August 2025
Technical University of Munich, TUM School of Medicine and Health, Department of Psychiatry and Psychotherapy, TUM University Hospital, Munich, Germany.
Background: Despite the proven efficacy of antipsychotics in relapse prevention in schizophrenia and schizoaffective disorder, every third patient experiences a relapse within less than one year. Relapses can worsen psychosocial and treatment related outcomes and lead to substantial economic costs, primarily due to frequent and prolonged hospitalizations. The aim of this project is to evaluate a smartphone- and web-based digital solution for detecting early warning signs of schizophrenia and schizoaffective disorder to reduce relapses and subsequent hospitalizations.
View Article and Find Full Text PDFBMJ Open
August 2025
Queensland Aphasia Research Centre, The University of Queensland, Herston, Queensland, Australia.
Introduction: Aphasia is a language impairment that affects one-third of people who experience a stroke. Aphasia can impact all facets of language: speaking, understanding, reading and writing. Around 60% of people with aphasia have persistent language impairments 1 year after their stroke, requiring ongoing healthcare and support.
View Article and Find Full Text PDF