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,…)
Drug-induced intrahepatic cholestasis (DIC) is a main type of hepatic toxicity that is challenging to predict in early drug development stages. Preclinical animal studies often fail to detect DIC in humans. In vitro toxicogenomics assays using human liver cells have become a practical approach to

Last updated on: 15-02-2024 - 11:59

Contact: Cannot be disclosed
Organisation: Vrije Universiteit Brussel (VUB)
Status: Internally validated, Published in peer reviewed journal
Severely burned skin can exhibit serious contractions that may negatively impact the mobility of joints of patients. The method deals with post-burn evolution of skin, in which one considers the balance of momentum, cells, collagen and chemokines. The balances are represented in terms of partial

Last updated on: 05-09-2023 - 11:43

Contact: Fred Vermolen
Organisation: University of Hasselt (UHasselt)
Status: Still in development, Internally validated, Published in peer reviewed journal
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
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

Contact: Segolene Martin
Organisation: Kantify
Status: Published in peer reviewed journal
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

Organisation: Sciensano
Status: Internally validated