Testicular cancer link with autism and ADHD as increased risk found in new study

Neurodevelopmental disorders, such as autism and ADHD, may lead to a slightly increased risk of seminoma testicular cancer, according to a new study.

While the condition is relatively rare, around 2,400 men are diagnosed with testicular cancer every year, according to Cancer Research UK. This is the first research study to provide a link between neurodevelopmental disorders and the risk of testicular cancer. "The study also found that people with a neurodevelopmental disorder were a median of four years younger when they developed cancer and were more likely to have more advanced disease at diagnosis," notes Ingrid Glimelius, Senior Consultant at the Department of Oncology at Uppsala University Hospital and Professor at Uppsala University.

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lifex-fiber: an open tool for myofibers generation in cardiac computational models - BMC BioinformaticsBackground Modeling the whole cardiac function involves the solution of several complex multi-physics and multi-scale models that are highly computationally demanding, which call for simpler yet accurate, high-performance computational tools. Despite the efforts made by several research groups, no software for whole-heart fully-coupled cardiac simulations in the scientific community has reached full maturity yet. Results In this work we present $$\texttt {life}^{\texttt {x}}$$ life x -fiber, an innovative tool for the generation of myocardial fibers based on Laplace-Dirichlet Rule-Based Methods, which are the essential building blocks for modeling the electrophysiological, mechanical and electromechanical cardiac function, from single-chamber to whole-heart simulations. $$\texttt {life}^{\texttt {x}}$$ life x -fiber is the first publicly released module for cardiac simulations based on $$\texttt {life}^{\texttt {x}}$$ life x , an open-source, high-performance Finite Element solver for multi-physics, multi-scale and multi-domain problems developed in the framework of the iHEART project, which aims at making in silico experiments easily reproducible and accessible to a wide community of users, including those with a background in medicine or bio-engineering. Conclusions The tool presented in this document is intended to provide the scientific community with a computational tool that incorporates general state of the art models and solvers for simulating the cardiac function within a high-performance framework that exposes a user- and developer-friendly interface. This report comes with an extensive technical and mathematical documentation to welcome new users to the core structure of $$\texttt {life}^{\texttt {x}}$$ life x -fiber and to provide them with a possible approach to include the generated cardiac fibers into more sophisticated computational pipelines. In the near future, more modules will be successively published either as pre-compiled binaries for x86-64 L
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