Applications

Neurological drug development

AxCellerate supports neurological drug development with human-relevant Brain-on-Chip models for preclinical testing, disease modelling and translational research.

Supporting better decisions in neuroscience drug development

Neurological drug development is one of the most complex and challenging areas of pharmaceutical research. The biology of the human nervous system is difficult to reproduce, and conventional preclinical models often provide only a partial view of how a candidate compound may behave in humans.

This can create uncertainty in early development, especially when teams need to evaluate safety, toxicity, biological response, target relevance or potential efficacy in disease-related contexts.

AxCellerate supports neurological drug development through advanced Brain-on-Chip technology and three-dimensional human-derived neuronal models. Our platform is designed to provide more human-relevant preclinical evidence, helping research teams investigate complex neurological mechanisms and make better-informed decisions before advancing their programs.

How AxCellerate technology can help

AxCellerate’s Brain-on-Chip platform combines human-derived neuronal models, microtechnology and functional readouts to support key questions in neuroscience drug development.

The technology can help R&D teams by providing:

Advantages

Key advantages for neurological drug development

For organizations working on CNS-related therapies, AxCellerate offers a preclinical approach designed to improve the quality and relevance of early evidence.

By integrating AxCellerate’s Brain-on-Chip platform into preclinical workflows, research teams can gain a clearer view of compound behaviour, disease-related mechanisms and potential development risks.

Key advantages include:

  • more human-relevant experimental models
  • functional readouts of neuronal activity
  • support for safety, toxicity and efficacy-related assessment
  • advanced disease modelling capabilities
  • reduced uncertainty in early-stage decision-making
  • project-specific study design
  • complementary evidence for translational research programs
Cookie bar

We use cookies and other tracking technologies to improve your experience and analyse our website traffic.

Please consult our Privacy Policy for more information.

By clicking on “Accept”, you consent to your data being collected

You can change your cookie settings and disable cookies, except for essential functional ones, at any time.


Functional
Preference
Statistical
Marketing