Pioneering a principles-based approach to improving brain network health
Our Approach
Healthy neural networks maintain a dynamic equilibrium, adapting through plasticity while preserving stability via robust homeostatic mechanisms operating across multiple timescales. Network health is thus best defined by its functional resilience: the ability to maintain stable function near an optimal set point and recover efficiently following perturbations.
NeuroStat Dynamics Platform
We are building the first scalable drug discovery platform to monitor and correct network dynamics in a dish. We create miniature human neural networks and model specific disease-relevant 'signatures' – like the hyper-excitable networks in epilepsy, the maladaptive plasticity in addiction, or the failing resilience in early Alzheimer's. Powered by next-gen automated microscopy and the bespoke computational set of tools we are building, our proprietary analytics toolkit, we will track thousands of individual neurons within networks inside multi-wells longitudinally, extracting rich, dynamic biomarkers of network health and dysfunction.
Therapeutic Potential
Function-first imaging platform promises to accelerate the discovery of novel therapeutics aimed at restoring brain network health and, critically, may enable function-based patient stratification for clinical trials.