Applications

Patient-specific modelling

AxCellerate supports patient-specific modelling with human-relevant Brain-on-Chip models for preclinical neuroscience and translational research.

Tailored models for more specific neuroscience research

Many neurological conditions involve complex and heterogeneous biological mechanisms. In some research programs, standard models may not be sufficient to investigate specific mutations, biological profiles or patient-related disease mechanisms.

Patient-specific modelling can help research teams explore defined neurological questions in a more relevant experimental environment, supporting the study of disease biology, compound response and target relevance in models designed around specific research needs.

AxCellerate supports patient-specific modelling through Brain-on-Chip technology and three-dimensional human-derived neuronal models. The platform can be adapted to investigate selected biological mechanisms, helping researchers generate more targeted preclinical evidence for neuroscience and translational research programs.

AxCellerate technology capabilities

AxCellerate’s Brain-on-Chip platform is designed to support flexible model development and advanced functional analysis in human-relevant neuronal systems.

The technology can help by providing:

Advantages

Key advantages for patient-specific modelling

AxCellerate provides a flexible approach for research teams that need to investigate specific neurological mechanisms beyond standard preclinical models.

By applying Brain-on-Chip technology to patient-specific modelling, AxCellerate helps research teams explore more precise biological questions and generate evidence that can support better-informed preclinical decisions.

 

Key advantages include:

  • adaptable model design around defined scientific questions
  • three-dimensional human-derived neuronal systems
  • functional readouts of neuronal activity
  • support for mutation-specific or disease-specific studies
  • evaluation of compound response in tailored models
  • support for target validation and translational research
  • project-specific experimental planning
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