Popular
Innovation examples
HealthToxicologyIn silico
AI agents for safer science: How AI is Changing Chemical Risk Assessment
This video introduces a novel approach to chemical safety, where intelligent digital agents guided by large language models support scientists in making faster, more transparent decisions. By automating complex workflows and integrating tools like the OECD QSAR Toolbox, these agentic systems help prioritise research, reduce reliance on animal testing, and pave the way for safer, more sustainable innovation.
Innovation examples
HealthToxicology
Zebrafish in toxicity testing
Zebrafish are increasingly recognised as a useful model for toxicity testing of chemical substances. Testing strategies are becoming more based on mechanisms of toxicity structured in adverse outcome pathways describing the chain of events leading to toxicity or disease. Using a battery of dedicated in vitro and in silico assays, insight can be gained in how exposure leads to disease. For certain diseases it is known that toxicity relies on the interaction between different organs and cell types, which requires research on whole organisms in addition to simple in vitro models. The zebrafish is considered a valuable whole organism model in a mechanism-based testing strategy. At RIVM, the zebrafish embryo model is used for testing the effect of chemical substances on several adverse outcomes and diseases.
For more information see: https://ehp.niehs.nih.gov/doi/10.1289/EHP9888; https://doi.org/10.3390/ijerph18136717; www.linkedin.com/in/harm-heusinkveld
Innovation examples
ToxicologyIn vitroOrgan-on-Chip
Cartilage-on-a-chip for studying joint degenerative diseases
Carlo Alberto Paggi is currently a PhD candidate at the University of Twente in the research group of Prof. Marcel Karperien and Prof. Séverine Le Gac. Karperien’s lab focus on the biological aspects of osteoarthritic research while Le Gac’s specialize in organ-on-chip development. The project of Carlo Alberto is developing a joint-on-chip platform to create a reliable in vitro model to study disease progression in osteo- or rheumatoid arthritis. The model combines different organ-on-chips aimed at replicating each a tissue around the joint such as cartilage, bone and ligaments. This new technology focuses on better reproducing human models and at substituting the use of animal models for drug research. If you want to know something more about the project and the groups, you can follow the link in the video.
Carlo Paggi was nominated for the Hugo van Poelgeest prize for his research on a cartilage-on-a-chip model to study joint degenerative diseases
Karperien’s lab of Developmental Bioengineering: https://www.utwente.nl/en/tnw/dbe/
Le Gac’s lab of Applied Microfluidics for BioEngineering Research: http://www.severinelegac.com/
Linkedin: https://www.linkedin.com/in/carlo-alberto-paggi-76500b135/
Meetings & conferences
HealthIn vitroAdvanced
3D tumor models for CAR-T-cell therapy optimization
Chimeric antigen receptor (CAR) T-cell therapy accounts for one of the most promising therapeutic advances in cancer immunotherapy. In this form of adoptive cell transfer, T-cells of a patient are engineered to express so-called ‘CARs’, in which the antigen-recognition capacity of antibodies is combined with T-cell activating domains. So far, CAR-T-cell therapy obtained its most impressive results in hematological malignancies resulting in the approval of five CAR-T cell products by the FDA for hematologic indications. However, CAR-T-cell therapy has not mirrored its success in solid tumors. The poor efficacy of CAR-T-cell therapy in solid tumors has, in part, been attributed to the lack of understanding in how CAR-T-cells function in a solid tumor microenvironment. Classical validation methods rely on the use of specificity and functionality assays in 2D models against adherent target cells or target cells in suspension. Yet, by using these models, observations made in vitro may differ greatly to an in vivo situation where tumors are engrafted in 3D structures. We developed a more relevant and translational 3D tumor model using eGFP+ target cells. This allows us to couple 3D tumor cell killing by CAR-T-cells to live-cell imaging, providing an efficient quantification of target cell death. As proof- of-concept, we used a 3D model of eGFP+ glioblastoma cells and CAR-T-cells targeting a pan-cancer antigen. This 3D glioblastoma model allowed us to show that classical scFv-based CAR-T-cell therapy of glioblastoma cells can be improved by nanoCAR-T-cells. Furthermore, combining nanoCAR-T-cell therapy with a genetic approach of nanobody-based anti-PD-L1 immune checkpoint blockade further increased the cytotoxicity of the nanoCAR-T-cell therapy.
New
Projects and initiatives
HealthToxicology
The NAM Navigator: A unique repository for information on the validation and acceptance of New Approach Methodologies
The NAM navigator is an innovative knowledge portal to navigate you to and through valuable information on the development, standardization, validation and acceptance of New Approach Methodologies (NAM). The NAM Navigator acts as an online guide that provides specific information needed in each of these steps, thereby increasing the broad use of animal-free innovations. Follow the link in the video to start navigating!
Projects and initiatives
HealthToxicologyIn vitroIn silico
VHP4Safety project
The safety testing of chemicals and pharmaceuticals traditionally relies on animal studies. However, these raise ethical concerns and often fail to accurately predict human responses. New scientific developments offer opportunities to build a Virtual Human Platform (VHP) for safety assessment, a platform that enables assessment based solely on human physiology and biology, integrating data from in vitro and in silico models. This video explains how we are developing the VHP through an interdisciplinary approach. Read the paper in the videolink or visit or VHP4Safety (https://vhp4safety.nl/) for more information.
Innovation examples
HealthToxicologyIn silico
AI agents for safer science: How AI is Changing Chemical Risk Assessment
This video introduces a novel approach to chemical safety, where intelligent digital agents guided by large language models support scientists in making faster, more transparent decisions. By automating complex workflows and integrating tools like the OECD QSAR Toolbox, these agentic systems help prioritise research, reduce reliance on animal testing, and pave the way for safer, more sustainable innovation.
Innovation examples
ToxicologyPolicy
User Research in developing the virtual human platform
Digital tools can support the phasing out of animal-based tests and data in chemical risk assessment. This is one of the core promises of the Virtual Human Platform. The potential contribution of digitalization is linked to the acceptance and adoption of tools, methods, and data by stakeholders in several societal sectors. To facilitate the integration of stakeholders in the configuration of digital tools, Dr. Isaac Ortega Alvarado and colleagues gather insights from risk assessors in their role as users. Risk assessors are the ones who actualize chemical risk assessment and its standards through their practices. With this perspective, this research contributes to understanding the development and implementation of digital tools as embedded in social processes of construction and reception.