Digital twins of the cardiovascular and pulmonary systems, allowing the virtual simulation of various invasive or non-invasive measurements (cardiac output, ballistocardiography signal, blood pressure, pulse wave velocity, FeNO, DLNO, FEV1, etc.) on healthy or pathological subjects, of variable size
Last updated on: 24-04-2024 - 12:16
Contact: Benoit Haut
Organisation: Université Libre de Bruxelles (ULB)
Status: History of use, Internally validated, Published in peer reviewed journal
Through leveraging our combined computational and biological knowledge, we have proven expertise supporting clients in:
(1) Evaluating and validating the potential for predictive modeling within your projects,
(2) Developing and applying machine learning techniques and other AI-based
Last updated on: 11-03-2024 - 13:31
Contact: Cannot be disclosed
Organisation: BioLizard
Status: History of use, Internally validated, Validated by an external party (e.g. OECD, EURL ECVAM,…)
Through leveraging our combined computational and biological knowledge, we have proven expertise supporting clients in:
(1) Developing and applying a range of statistical methods tailored to specific problem settings in both clinical and non-clinical datasets,
(2) Integrating multi-omics
Last updated on: 11-03-2024 - 13:30
Contact: Cannot be disclosed
Organisation: BioLizard
Status: History of use, Internally validated, Published in peer reviewed journal, Validated by an external party (e.g. OECD, EURL ECVAM,…)
NMTox is an R-software package and a Shiny app that can be used to explore and subset large datasets and can identify and test for monotonic dose responses. The package was developed within the NanoInformaTIX project where a platform is developed that aims to predict nanomaterial toxicity.
Last updated on: 22-08-2023 - 10:43
Contact: Geert Verheyen
Organisation: Thomas More University of Applied Sciences, University of Hasselt (UHasselt)
Status: Internally validated
An empirical model linking physico-chemical biomaterial characteristics to intra-oral bone formation
This empirical model is used to assess the weighted value of driving biomaterials properties in the intra-oral bone regeneration process. We used partial least square regression (PLSR) to construct empirical models that relate combinations of (quantified) biomaterial characteristics to intra-oral
Last updated on: 08-06-2023 - 14:26
Contact: Ehsan Sadeghian
Organisation: University of Liège (ULiège)
Partners: Katholieke Universiteit Leuven (KUL), University of Liège (ULiège), Université Catholique de Louvain (UCL)
Status: Internally validated
Computational neuroscience aims to study the nervous system by mathematical and computer simulations. Computational models can be built on multilevel scales. With the bottom-up approach, the model is built from the same building blocks as observed in human or animal tissue. As such, the functioning
Last updated on: 13-02-2023 - 16:45
Contact: Cannot be disclosed
Organisation: Ghent University (UGent)
Status: Still in development, Published in peer reviewed journal
For the risk assessment of compounds migrating from food contact materials (FCM), information on the exposure to the migrant as well as its possible hazards is needed. To support the evaluation of both starting products and NIAS from plastic FCM, the VERMEER FCM tool has been developed within the
Last updated on: 29-11-2022 - 14:46
DARTpaths is an an integrative app to support the prioritisation of chemicals. The Open Source R shiny application allows for the prediction of compound-induced molecular mechanisms of action. The tool integrates phenotypic endpoints of different species induced by compounds and genetic variants, in
Last updated on: 13-06-2022 - 16:04
Contact: Vera van Noort
Organisation: Katholieke Universiteit Leuven (KUL)
Partners: Open Analytics, Hogeschool Utrecht , Vivaltes
Status: Internally validated
In silico tools are computer-assisted methodologies with a high-throughput that allow to predict the toxic potential of compounds without experimental testing. Consequently, in silico tools are time-, cost- and animal-saving in nature. The most commonly used methods are (quantitative) structure
Last updated on: 24-03-2022 - 11:25
Prototyping and replication (small series production) of microfluidic or optofluidic devices, in thermoplastic polymers or in glass. 3D nanoprinting is also available to produce microscaffolds, possibly within microfluidic channels.
Last updated on: 16-03-2022 - 14:25
Contact: Jürgen Van Erps
Organisation: Vrije Universiteit Brussel (VUB)
Status: Internally validated, Published in peer reviewed journal
