Translatable Models in Neuroscience is a conference dedicated to Next Generation CNS Models for Reliable and Translatable Predictions.
Translatable Models in Neuroscience covers topics such as:
- Calibrate cost & complexity of preclinical models
- Bioengineering for neuroscientists: tissue engineering & developing brain organoids
- Organ-on-a-chip technology: adaptable building blocks & mimicking neurological systems
- Building a bridge over the translational gap of neuroscience models to advance towards predictive cns models
- Ensuring model integrity across cns disorders & future perspectives
- Translating discoveries: adapting over the limitations of animal models to assess cns drug efficacy
- Bolstering limited human cns samples to predict drug outcomes
