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
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: 08-05-2023 - 13:45
Contact: Benoit Haut
Organisation: Université Libre de Bruxelles (ULB)
Status: History of use, Internally validated, Published in peer reviewed journal
ZeptoHit is a technology based on Artificial Intelligence (AI) which accelerates hit discovery. With only a protein sequence as information, ZeptoHit can quickly and efficiently recommend promising hits, without any limitations. Its search for promising compounds goes much beyond chemical structures
Last updated on: 21-03-2023 - 13:36
Contact: Segolene Martin
Organisation: Kantify
Status: Internally validated, Published in peer reviewed journal
ZeptoWard is a Machine Learning solution (AI) which identifies the ADMET properties of compounds. It can accurately predict over 80 properties related to absorption, distribution, metabolism, excretion, and toxicity properties, how a specific compound or combination of compounds will perform. It can
Last updated on: 21-03-2023 - 13:34
Full-wave electromagnetic (EM) simulations solve the laws of Maxwell for a given problem. When designing a wireless solution for an Internet of Animal Health (IoAH) application, multiple iterations are needed to achieve well-defined metrics such as energy efficiency, electrical and mechanical
Last updated on: 13-02-2023 - 16:48
Contact: Jasper Goethals
Organisation: Ghent University (UGent)
Partners: Ghent University (UGent)
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
An artificial dog with real skeleton to excercise positioning for radiographic examination and palpation.
Last updated on: 25-07-2022 - 09:53
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
