The use of three-dimensional (3D) cell culture models is considered a reliable model that is successfully used for high-throughput drug testing in carcinoma research. However, the development of soft tissue sarcoma organoids is lagging behind. Soft tissue sarcoma is a group of rare malignancies from
Last updated on: 26-07-2024 - 15:48
Contact: Agnieszka Wozniak
Organisation: Laboratory of Experimental Oncology
Status: Still in development
The Colon-on-a-plate® technology is a high-throughput biorelevant in vitro simulation of the physiology and microbiology of the colon. This robust screening technology is not limited to comparing the impact of tens of test product on the microbiome, but also offers insight into the factors
Last updated on: 26-07-2024 - 09:50
Contact: Cannot be disclosed
Organisation: ProDigest
Status: History of use, Internally validated, Published in peer reviewed journal
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,…)
