The SHIME® (Simulator of Human Intestinal Microbial Ecosystem) model is currently the most representative in vitro technology for the combined simulation of the physiological, chemical and microbiological properties of the gastrointestinal tract. The model enables study of the impact of long-term
Last updated on: 26-07-2024 - 09:49
Contact: Cannot be disclosed
Organisation: ProDigest
Status: History of use, Internally validated, Published in peer reviewed journal
A proprietary designed lab-scale bioreactor containing a substrate for adherent cells and customized conditions, enabling the differentiation of MSCs into osteogenic lineage. The cell-substrate interaction can be assessed after prolonged 3D cell culture. Customizable and tunable to the experimental
Last updated on: 17-07-2024 - 08:28
Using the combination of advanced CRIPSR tools including several Cas orthologs, based editors (ABE, CBE, CGBE) and prime editing technologie with efficient delivery vehicles such as LV, AAV and virus-like particles (VLPs), our lab has become experienced with introducing or replacing precise edits in
Last updated on: 21-06-2024 - 11:29
Contact: Marianne Carlon
Organisation: Katholieke Universiteit Leuven (KUL)
Partners: Katholieke Universiteit Leuven (KUL)
Status: Still in development, Internally validated
The DETECTOR algorithm allows to functionally screen genetic strategies for Cystic Fibrosis in patient-derived rectal organoids. DETECTOR is a machine-learning based software that takes frames from forskolin-induced swelling (FIS) assay on organoids as input and gives the number of functionally
Last updated on: 10-06-2024 - 11:17
Contact: Marianne Carlon
Organisation: Katholieke Universiteit Leuven (KUL)
Status: Published in peer reviewed journal
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
The method uses planarians as an alternative in vivo model to assess carcinogenicity. Planarians are characterized by a high regenerative capacity and a large number of pluripotent stem cells. The assay is based on the discriminative power of stem cells in an in vivo setting. Based on specific stem
Last updated on: 28-03-2024 - 08:56
Contact: Karen Smeets
Organisation: University of Hasselt (UHasselt)
Status: Internally validated, Published in peer reviewed journal
Through leveraging our combined computational and biological knowledge, we have proven expertise supporting clients in:
(1) Tailored analysis of single-cell data that incorporates relevant biological information, including application of AI and machine learning,
(2) Studying the stochastic
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) 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,…)
We have implemented the use of 3D patient-derived tumor organoids, to study metabolic (dys)functions associated with tumor development and progression, including response to anticancer therapies. These sophisticated models allow to better integrate the influence of microenvironmental conditions in
Last updated on: 23-02-2024 - 16:20
Contact: Cyril Corbet
Organisation: Université Catholique de Louvain (UCL)
Status: Published in peer reviewed journal
