The use of patient-derived primary cell cultures in cancer preclinical assays, including drug screens and genotoxic studies, has increased in recent years. However, their translational value is constrained by several limitations, including variability that can be caused by the culture conditions.
Last updated on: 20-07-2023 - 15:05
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
The Systemic Intestinal Fermentation Research technology, SIFR in short, is a uniquely validated simulation of gut microbial ecosystems, shown to be predictive for clinical outcomes. The SIFR can simulate a wide variety of gut microbiota from humans (infants, adults, elderly; healthy, diseased) to
Last updated on: 08-06-2023 - 14:24
Contact: Aurélien Baudot
Organisation: Cryptobiotix
Status: History of use, Internally validated, Published in peer reviewed journal
Using an in vitro flow system adhesion assay, immune cell adhesion to (blood-brain barrier) endothelial cells can be quantified under physiological blood flow conditions. Endothelial cells can be treated with inflammatory cytokines or therapeutic antibodies to mimic inflammatory diseases. Immune
Last updated on: 06-06-2023 - 10:35
Contact: Doryssa Hermans
Organisation: University of Hasselt (UHasselt)
Status: Published in peer reviewed journal
Thyroid hormone system disruption (THSD) has detrimental effects on both human and environmental health. As a rising number of chemicals are reported to interfere with the thyroid hormone system, there is an increasing need for fast and reliable evaluation methods to test for THSD. Currently,
Last updated on: 27-04-2023 - 16:41
Contact: Cannot be disclosed
Organisation: Cannot be disclosed
Partners: Cannot be disclosed
Status: Currently submitted for further validation by an external party (e.g. OECD, EURL ECVAM,…)
Dissolution test aim to evaluate the release profile of a drug from the dosage form. It allows anticipating the potential available dose of the drug within a certain period of time once administered.
Last updated on: 24-04-2023 - 15:34
Contact: Jonathan Goole
Organisation: Université Libre de Bruxelles (ULB)
Status: Published in peer reviewed journal
ProDigest's short-term colonic simulation is an in vitro model for rapid screening of the interaction between test products and the gut microbiome. The key microbial saccharolytic and proteolytic markers are analysed as well as evolution in the composition of the microbiome and other endpoints as
Last updated on: 17-04-2023 - 13:22
Contact: Cannot be disclosed
Organisation: ProDigest
Partners: ProDigest
Status: History of use, Internally validated, Published in peer reviewed journal
Macrophages orchestrate reactive particle segregation, compact aggregates of immune cells and non-immune cells and promote fibrosis-surrounding granulomas.
We developed a simple 3D in-vitro model that mimics granuloma formation and categorizes granuloma-inducing inorganic particles. Macrophage
Last updated on: 03-04-2023 - 11:21
Contact: Léa Hiéronimus
Organisation: Université Catholique de Louvain (UCL)
Status: Still in development, 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
